* First pass on SameDiff op exec debug listener
Signed-off-by: Alex Black <blacka101@gmail.com>
* #7555 DL4J helpers - don't fall back on builtin for op profiler exceptions
Signed-off-by: Alex Black <blacka101@gmail.com>
* Exec debugging listener + fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix import counts for TF ops in OpValidationSuite
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix bad DL4J test configuration
Signed-off-by: Alex Black <blacka101@gmail.com>
* Exec debugging listener polish
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* Another fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* wip
* update interface, add null implementations.
* Breaking one test in a weird way.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* createUninitializedDetached refactored.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove create method with unused parameter.
* removed more unused methods.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* removing more unused code.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* last removal of unused code.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Conv Config validation & tests
Signed-off-by: Ryan Nett <rnett@skymind.io>
* stackOutputs utility method
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use constructor for validation, support negative kernel sizes (infered from weights)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* better output methods
Signed-off-by: Ryan Nett <rnett@skymind.io>
* move output to be with fit and evaluate
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* more fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove SDVariable inplace methods
* import methods
* npe fix in OpVal
* removed SameDiff inplace ops from tests
* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything
* quick fixes
* javadoc
* SDVariable eval with placeholders
* use regex match
* better matching
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* Added gradcheck test for dynamic_partition_bp op.
* - implementation of dilation op (cpu and cuda)
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed broadcast_dynamic_shape 1D case and tests.
* Fixed usage of default integer arguments.
* Fixed dynamic_partition_bp op and tests.
* Eliminated test with grad check for dynamic_partition_bp op.
* start working on cuda svd - porting available corresponding api from cuSOLVER library
Signed-off-by: Yurii <yurii@skymind.io>
* provide prelu_bp
Signed-off-by: Yurii <yurii@skymind.io>
* - provide gruCell_bp (old version ??)
Signed-off-by: Yurii <yurii@skymind.io>
* - polishing cumsum_bp and cumprod_bp tests
Signed-off-by: Yurii <yurii@skymind.io>
* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed atomicMul with float input/output
* implementation of cuda kernel for triu_bp operation
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored lup helper to add parrallel computing.
* cusolver libraries
Signed-off-by: raver119 <raver119@gmail.com>
* uncomment cuSolver APIs in svd.cu
Signed-off-by: Yurii <yurii@skymind.io>
* cusolver var
Signed-off-by: raver119 <raver119@gmail.com>
* - further work on cuSolver svd
Signed-off-by: Yurii <yurii@skymind.io>
* Implement usage of cuda solver to LUP decomposition.
* - correct naames in lup functions
Signed-off-by: Yurii <yurii@skymind.io>
* correct svdQR cuda
Signed-off-by: Yurii <yurii@skymind.io>
* - provide transpositions of input matrices in case of c order in svdCudaQR
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed implementation issues with LUP usign cuda solver.
* Implementation of matrix_determinant helper with cuda kernels. Working revision.
* Implemented log_matrix_determinant helper with cuda kernels.
* - implementation of batched cuda svd
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored cholesky helper and implementation of cuda solver cholesky batch.
* - implementation of cuda kernel for tile bp
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of cholesky and logdet with cuda kernels.
* - implementation of cuda kernel for sru_bidirectional
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed cholesky helper.
* Cholesky op helper implementation. Working double-based cublas implementation.
* bad import excluded
Signed-off-by: raver119 <raver119@gmail.com>
* Finished with cuda implementation of cholesky helper and tests.
* - implementation of cuda kernel for sru_bidirectional_backprop operation
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of matrix_inverse op helper with cuda kernels. The first revision.
* - start working on gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of matrix_inverse helper.
* - further work on new gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* cuBLAS related fixes
Signed-off-by: raver119 <raver119@gmail.com>
* calculateOutputShapes() now passes device buffers as well
Signed-off-by: raver119 <raver119@gmail.com>
* special concat/average/accumulate init host pointers now
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* additional CudaDataBufferFactory signatures certain for data types
Signed-off-by: raver119 <raver119@gmail.com>
* cuSolver host buffer
Signed-off-by: raver119 <raver119@gmail.com>
* buffer to buffer memcpy host ptr allocation
Signed-off-by: raver119 <raver119@gmail.com>
* softmax and logSoftmax w/ dimension
Signed-off-by: Ryan Nett <rnett@skymind.io>
* start of while
Signed-off-by: Ryan Nett <rnett@skymind.io>
* if, start of javadocs
Signed-off-by: Ryan Nett <rnett@skymind.io>
* while foreward pass working, backprop WIP
Signed-off-by: Ryan Nett <rnett@skymind.io>
* no backprop
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Tensorflow style if/while (& tests), name scope fixes (and test), argument interceptor (for if/while), use '_' in op names instead of ':'
Signed-off-by: Ryan Nett <rnett@skymind.io>
* javadoc
Signed-off-by: Ryan Nett <rnett@skymind.io>
* many fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* many fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Some fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* cleanup if condition doesn't return boolean
Signed-off-by: Ryan Nett <rnett@skymind.io>
* serialization fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use constants instead of magic numbers
Signed-off-by: Ryan Nett <rnett@skymind.io>
* LeakyReLU: Use serScalar to set alpha correctly in TF import
LogX: remove incorrect TF mapping
Pow: remove TF import method (no mapping)
BaseOp: remove duplicate extraArgs
Signed-off-by: Ryan Nett <rnett@skymind.io>
* un-ignore cifar-10 gan, as it is now passing
Signed-off-by: Ryan Nett <rnett@skymind.io>
* new issue for b_d_s (old is closed), new issue for boolean_mask (old is fixed)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* date update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* "embedding_lookup/.*multiple.*" is passing
Signed-off-by: Ryan Nett <rnett@skymind.io>
* new bincount issue (old was fixed)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* date update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* where op comment
Signed-off-by: Ryan Nett <rnett@skymind.io>
* where passing
Signed-off-by: Ryan Nett <rnett@skymind.io>
* ignore gan
Signed-off-by: Ryan Nett <rnett@skymind.io>
* scatter_nd/rank2shape_2indices passing
Signed-off-by: Ryan Nett <rnett@skymind.io>
* topk update, test fix (need to verify)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* batch_to_space issue update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* updates, no change
Signed-off-by: Ryan Nett <rnett@skymind.io>
* date updates
Signed-off-by: Ryan Nett <rnett@skymind.io>
* batch_to_space is fixed
Signed-off-by: Ryan Nett <rnett@skymind.io>
* equality function helper
Signed-off-by: Ryan Nett <rnett@skymind.io>
* topk passing
Signed-off-by: Ryan Nett <rnett@skymind.io>
* dropout equality check
Signed-off-by: Ryan Nett <rnett@skymind.io>
* adding ignores for zoo models
Signed-off-by: Ryan Nett <rnett@skymind.io>
* ignore libnd4j rnn tests
Signed-off-by: Ryan Nett <rnett@skymind.io>
* added batch to space test
Signed-off-by: Ryan Nett <rnett@skymind.io>
* issue comments
Signed-off-by: Ryan Nett <rnett@skymind.io>
* minor cmake changes to make macos happy
* space_to_batch/batch_to_space validation fix
* - choose op tweaks
- tests updated to match appleid tweaks
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* - get rid of bad import
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* - choose now uses shape function
- choose test updated
* System info export for debugging and bug reporting
Signed-off-by: Ryan Nett <rnett@skymind.io>
* class name fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add version information, pointer memory info
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add nvidia-smi and nvcc info
Signed-off-by: Ryan Nett <rnett@skymind.io>
* line cleanup
Signed-off-by: Ryan Nett <rnett@skymind.io>
* nvidia-smi run works
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add oshi dependency
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use OS info, add workspaces info
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use ServiceLoader to load GPU information
Signed-off-by: Ryan Nett <rnett@skymind.io>
* register service
Signed-off-by: Ryan Nett <rnett@skymind.io>
* moved service out of NativeOpsHolder (private constructor)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* added newline
Signed-off-by: Ryan Nett <rnett@skymind.io>
* added license
Signed-off-by: Ryan Nett <rnett@skymind.io>
* and one more
Signed-off-by: Ryan Nett <rnett@skymind.io>
* copyright update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* removed unused imports
Signed-off-by: Ryan Nett <rnett@skymind.io>
* removed more unused imports
Signed-off-by: Ryan Nett <rnett@skymind.io>
* close streams
Signed-off-by: Ryan Nett <rnett@skymind.io>
* and another one
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use method
Signed-off-by: Ryan Nett <rnett@skymind.io>
* one more copyright
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove double license
Signed-off-by: Ryan Nett <rnett@skymind.io>
* moved test to correct package
Signed-off-by: Ryan Nett <rnett@skymind.io>
* classpath update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* classpath for java >8 fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* changed [] to ...
Signed-off-by: Ryan Nett <rnett@skymind.io>
* added randn(long seed, int... shape)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Fixed a couple of methods
Signed-off-by: Ryan Nett <rnett@skymind.io>
* ToString methods w/ options
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fixes, less toString methods, and a few ops I missed
Signed-off-by: Ryan Nett <rnett@skymind.io>
* some javadocs, change int... to long... where possible
Signed-off-by: Ryan Nett <rnett@skymind.io>
* another javadoc
Signed-off-by: Ryan Nett <rnett@skymind.io>
* javadoc fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* just javadoc in INDArray
Signed-off-by: Ryan Nett <rnett@skymind.io>
* local/static fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Add @NonNull to options
Signed-off-by: Ryan Nett <rnett@skymind.io>
* javadoc updates/fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* more @NonNulls
Signed-off-by: Ryan Nett <rnett@skymind.io>
* even more @NonNulls, this time on varargs
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Added observation classes and tests
Signed-off-by: unknown <aboulang2002@yahoo.com>
* Now uses DataSetPreProcessors
Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
* CompositeDataSetPreProcessor can now stop processing on empty dataset; Some DataSetPreProcessors moving from RL4J to ND4J
Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
* Did requested minor changes
Signed-off-by: Alexandre Boulanger <Alexandre.Boulanger@ia.ca>
Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
* Shugeo strided slice zeros (#14)
* Modified strided_slice op to properly work with empty-like shapes.
* Fixed test for reduce_mean with empty-like input.
* [WIP] Last merge (#15)
* correct logsoftmax looss (#2)
* Small SameDiff listener fix (#4)
* Various fixes (#6)
* #7839 Fix for asXMatrix and tests
* #7866 EmbeddingSequenceLayer dtype fix + test
* #7856 SameDiff save/load stream methods
* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration
* EvaluationBinary 3d/4d
* More evaluation 3d/4d tests
* #7847 Evaluation empty checks
* Small test ifx
* #7848 Fix median edge case
* Improve DL4J samediff layer tests
* [WIP] FastText wrapper implemented (#8)
* FastText implemented
* Some fixes
* Fix shapes for wordsNearest
* Validation of input vectors
* Fixes
* Fixed test
* Thread tagged
* Some tweaks
* setContextClassLoader for DeallocatorServiceThread
* Numpy format tests (#1)
* Various fixes (#11)
* #7852 SameDiff gather fix
* #7892 SameDiff placeholder to constant conversion
* #7890 validate input rank for MLN/CG init methods
* Fix broken permute shape calculation
* Permute and gather fixes
* Tests
* #7850 LogSumExp fix + test
* Handful of test fixes
* Empty arrays with non-scalar shapes (#10)
* minor rearrangements for lambdas
* empty tensors with non-scalar shapes
* numpy empty tensors with non-scalar shapes
* few more empty tweaks
* Small fixes
* conv3d signature update
* micro fix in batchnorm mkldnn
* Import fixes
* Fix
* MKL-DNN update
* Small fill fix
* fill with empty input + test
* Fixes
* Small error improvement
* Fix
* one special test
* couple of fixes for lstm
* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone
* Fixes
* FP16
* Unsigned
* BFloat16
* Fill op - empty tweaks
* - couple of fixes for empty arrays construction
- stack updated
* strided slice fix
* one transform test
* provide method for reducing shapeInfo in case of input array is empty
* Fixed reduceAlongDimensions to use empty input properly.
* couple of broadcast tests
* couple of tests broadcast tests + tweak to make them pass
* add check of non-empty to methods producing sub-arrays
* Fixed reshapeC with zeros in shape.
* complete empty check in reduce_... legacy ops
* Concat and cumsum/prod
* Tweak to empty shape inference on import
* add empty check to the rest of reduce legacy ops
* one more test
* correct typo in evalReduceShapeInfoEmpty
* Added tests for reduce_* ops to tests with zero shapes.
* few more tests for empty reductions
* Fixed strided_slice op with empty case and tests.
* one more empty reduction test
* Fixed strided_slice test.
* add empty check to NDArray::reshapei
* infOrMax
* empty min/max with infinity tests
* made unstack working correctly with empty arrays
* few IndexReduce tests + tweaks for empty shapes
* add test for empty concat
* few tests fixed
* Validation fix for reductions on empty shapes
* Reverse fix
* Reduction shape calc fixes
* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs
* Range fix
* - NDArray constructor updated for scalars/empty arrays
- few tests fixed
* More fixes
* Empty creator fixes
* concat fix
* concat fix
* TF import tests: allow 'both all NaN' and 'both all inf' to pass
* Slice, zero fraction, and reshape fixes
* transpose, gather
* Zero fraction
* scalar cast fix
* Empty reduction axis support
* few more tests fixed
* Fixed input checks conforming with TF for concat op and tests.
* few tests fixed
* matmul scalar shape fix
* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.
* broadcast bool fix
* few more tests
* few more tests
* correct evalReduceShapeInfoEmpty
* argmax/argmin + tests
* one more empty edge case + one more test
* argmax/argmin/realdiv_bp tweaks
* empty reshape test + fix
* Helper fixes
* Small fixes
* Gather test fix
* Gather test fix
* Small fixes
* reduce scalar zero values
* scalar mean workaround
* Remove debug code
* along dim mean workaround
* one more test
* - equalsTo() tweak for empty arrays
- one more test
* broadcast tweaks
* [WIP] Fixing outstanding issues for NLP (#9)
* Avoid using not-inited objects
* Test fixed.
* Redundant method avoided for models like FastText
* KMeans++ implementation
* KMeans++ implementation
* Disable parallel execution
* KMeans++
* Tests
* Dev branch merge (#16)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Fix some issues on master (#17)
* Fix DataVec test issue
* Fix issue with dl4j SameDiff output layer
* Dtype fix for lambda layers
* #7912 BertIterator dtype fix (use float32 not global default)
* [WIP] Next set of CUDA stuff (#7)
New CUDA implementations and improvements
* bad file
* Dev branch master merge (#23)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Compatibility of deserialization (#18)
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff: add activation gradient checking support for debugging (#19)
* SameDiff gradient checker: first pass on activation gradient checks
* Fixes + tests for activation gradient checking
* Javadoc
* [WIP] Some nd4j data type corrections (#20)
* Adjust data type
* Set correct Data type.
* Size of proper data type.
* fix averaged cpu load (#22)
* SameDiff ops, TF import and fixes (#24)
* CheckNumerics tests + fixes + misc fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fake quant
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* FakeQuantWithMinMaxArgs
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* CheckNumerics fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix libnd4j ALL_INTS and ALL_FLOATS declaration (uint and bfloat types)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Exception tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for out of scope stack allocated var use
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Ignores
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Ignore for known failing test (already logged issue)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Merge upstream to fork (#25)
* Add thousand-separator commas to TotalParams (#7915)
* Add thousand-separator commas to TotalParams
The number of parameters can be quite large, and it would help the reading of the summary printout to have the TotalParams column & values at the bottom have thousand-separator-commas in them.
* Add thousand-separator commas to MultiLayerNetwork
Corresponding change to MultiLayerNetwork
Signed-off-by: Jxtps Jxtps <jxtps435@gmail.com>
* Update contributing and issue/PR templates (#7934)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix link to AdaDelta paper (#7942)
Fix link to AdaDelta paper hosted on matthewzeiler.com
Signed-off-by: Jxtps
* Fixes, and ignores for known/logged failing issues (#7943)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* SameDiff + DL4J/SameDiff: Multiple fixes (#28)
* #7919 HDF5 attribute buffer length fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #7909 Arbiter constructor exception ux improvements
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #7925 RNN output layer length checks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #7939 Add listener for validating inputs are not incorrectly modified
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #7939 Integrate NonInplaceValidationListener into tests
* #7844 DL4J SameDiff fixes for variable minibatch size
* DL4J SameDiff fixes - ensure gradient for input placeholder is available
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tweaks to ExternalErrorsFunction - use placeholders, make more robust
* Another fix
* More fixes
* More SameDiff/DL4J fixes
* Scope out scalar array creation in BaseScalarOp
* Remove debug code
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* [WIP] Final dev branch merge (#29)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Compatibility of deserialization (#18)
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff: add activation gradient checking support for debugging (#19)
* SameDiff gradient checker: first pass on activation gradient checks
* Fixes + tests for activation gradient checking
* Javadoc
* [WIP] Some nd4j data type corrections (#20)
* Adjust data type
* Set correct Data type.
* Size of proper data type.
* fix averaged cpu load (#22)
* [WIP] Multiple dataset iterators (#27)
* Splitting dataset into arbitrary number
* Fixes
* Multiple split of iterator
* Test
* Test
* Some fixes
* signature change
* one more tweak
Signed-off-by: raver119 <raver119@gmail.com>
* one more test for sequential use of DataSetIteratorSplitter
Signed-off-by: raver119 <raver119@gmail.com>
* Fixes
* Fixes
* one more test for Alexander
Signed-off-by: raver119 <raver119@gmail.com>
* Some fixes
* Some fixes
* one more test for Alexander
Signed-off-by: raver119 <raver119@gmail.com>
* minor test fix
Signed-off-by: raver119 <raver119@gmail.com>
* Some fixes
* Some fixes
* couple of assertions tweaked
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* MDS splitter test :/
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* Minor refactoring
* Multi dataset
* Some fixes
* More tests
* Small number of test fixes/improvements (failures on CI) (#31)
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* [WIP] More CUDA stuff (#26)
* initial commit
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* LRN BP CUDA
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* less memory
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* Fixed bug with crop_and_resize op helper.
* get rid of unnecessary index-calculation dunction
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* Fixed sort with nth_element cuda-based helper.
* Refactored nth_element.
* Refactored nth_element op and tests.
* Modified usage of dim array with sortTad routine.
* Refactored main routine of helper for non_max_image_suppression op.
* non_max_image_suppression op helper with cuda kernel implementation. Initial revision.
* fix vol2col cuda kernel
* meh
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* topK concept
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* unsorted topK with scanWitdh of 1
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* correct vol2col tests
* sorted/unsorted topK
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* implementation and fixing col2im/col2vol
* Corrected usage flags with input/output with reverse op.
* dup is const now
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* percentile op
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* group tests for mapool2d
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* special test for george
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* less threads for sortTad
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* provide conv2d for cuda
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* remove auther in sort tad kernel code
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* provide depthwise_conv2d for cuda
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* - max_pooling_with_argmax
- null check for special use
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* dts cuda
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* provide sconv2d for cuda
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* std cuda
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* Refactored non_max_suppression op to conform TF implementation.
* Improved suppression helper.
* provide pooling3d for cuda
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* minor lstm rearrangements
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* more of minor lstm rearrangements
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* (bi)dynamic_rnn
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* templates init order
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* Refactored non_max_suppression op.
* Added cuda kernel for non_max_suppression.
* CPU sort by key/value
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* CPU sort TAD by key/value
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* CPU sort TAD by key/value tests
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* Eliminate compiler error with cuda implementation.
* - repaired gradCheck in cuda
- provide conv2d_bp for cuda
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* missed signature
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* provide depthwise_conv2d_bp for cuda
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* Implementation of lup helper with cuda kernel. Initial commit.
* further work on backprops for convolutions
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* CUDA linear sort by key/val
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* CUDA tad sort by key/val
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* start providing of backprop for pooling2d/3d
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* Added atomicAdd for bool datatype.
* dynamic partition concept
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* dynamic partition concept
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* dynamic partition scalar CUDA
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* important comment
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* fix pooling2d/3d backprop helpers
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* Added non-linear test with dynamic_partition.
* Improved test for dynamic_partition.
* dynamic_partition TAD concept
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* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix
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* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d
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* dynamic_stitch CUDA vector case
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* dynamic_stitch CUDA TAD case concept
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* dynamic_stitch CUDA TAD case impl
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* Added tests for dynamic_stitch 3D-4D cases.
* minor tests tweaks
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* Fixed type check for dynamic stitch.
* min/max bp
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* rewrite code for upsampling2d/3d cpu
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* reduce min/max/norm_max bp
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* lup implementation. Additional enhancements.
* provide code for upsamling2d/3d backprop
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* weightedCrossEntropyWithLogits
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* Fixed template math atomicMul for 64bit ints.
* Refactored dynamic_partition_bp op.
* inverseBroadcast fix
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* DynamicPartitionBP test datatype fixed.
* - nd4j_atomicMul Windows fix
- cpu/NDArrayLambda.hpp excluded from CUDA
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* correct logsoftmax looss (#2)
* Small SameDiff listener fix (#4)
* Various fixes (#6)
* #7839 Fix for asXMatrix and tests
* #7866 EmbeddingSequenceLayer dtype fix + test
* #7856 SameDiff save/load stream methods
* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration
* EvaluationBinary 3d/4d
* More evaluation 3d/4d tests
* #7847 Evaluation empty checks
* Small test ifx
* #7848 Fix median edge case
* Improve DL4J samediff layer tests
* [WIP] FastText wrapper implemented (#8)
* FastText implemented
* Some fixes
* Fix shapes for wordsNearest
* Validation of input vectors
* Fixes
* Fixed test
* Thread tagged
* Some tweaks
* setContextClassLoader for DeallocatorServiceThread
* Numpy format tests (#1)
* Various fixes (#11)
* #7852 SameDiff gather fix
* #7892 SameDiff placeholder to constant conversion
* #7890 validate input rank for MLN/CG init methods
* Fix broken permute shape calculation
* Permute and gather fixes
* Tests
* #7850 LogSumExp fix + test
* Handful of test fixes
* Empty arrays with non-scalar shapes (#10)
* minor rearrangements for lambdas
* empty tensors with non-scalar shapes
* numpy empty tensors with non-scalar shapes
* few more empty tweaks
* Small fixes
* conv3d signature update
* micro fix in batchnorm mkldnn
* Import fixes
* Fix
* MKL-DNN update
* Small fill fix
* fill with empty input + test
* Fixes
* Small error improvement
* Fix
* one special test
* couple of fixes for lstm
* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone
* Fixes
* FP16
* Unsigned
* BFloat16
* Fill op - empty tweaks
* - couple of fixes for empty arrays construction
- stack updated
* strided slice fix
* one transform test
* provide method for reducing shapeInfo in case of input array is empty
* Fixed reduceAlongDimensions to use empty input properly.
* couple of broadcast tests
* couple of tests broadcast tests + tweak to make them pass
* add check of non-empty to methods producing sub-arrays
* Fixed reshapeC with zeros in shape.
* complete empty check in reduce_... legacy ops
* Concat and cumsum/prod
* Tweak to empty shape inference on import
* add empty check to the rest of reduce legacy ops
* one more test
* correct typo in evalReduceShapeInfoEmpty
* Added tests for reduce_* ops to tests with zero shapes.
* few more tests for empty reductions
* Fixed strided_slice op with empty case and tests.
* one more empty reduction test
* Fixed strided_slice test.
* add empty check to NDArray::reshapei
* infOrMax
* empty min/max with infinity tests
* made unstack working correctly with empty arrays
* few IndexReduce tests + tweaks for empty shapes
* add test for empty concat
* few tests fixed
* Validation fix for reductions on empty shapes
* Reverse fix
* Reduction shape calc fixes
* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs
* Range fix
* - NDArray constructor updated for scalars/empty arrays
- few tests fixed
* More fixes
* Empty creator fixes
* concat fix
* concat fix
* TF import tests: allow 'both all NaN' and 'both all inf' to pass
* Slice, zero fraction, and reshape fixes
* transpose, gather
* Zero fraction
* scalar cast fix
* Empty reduction axis support
* few more tests fixed
* Fixed input checks conforming with TF for concat op and tests.
* few tests fixed
* matmul scalar shape fix
* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.
* broadcast bool fix
* few more tests
* few more tests
* correct evalReduceShapeInfoEmpty
* argmax/argmin + tests
* one more empty edge case + one more test
* argmax/argmin/realdiv_bp tweaks
* empty reshape test + fix
* Helper fixes
* Small fixes
* Gather test fix
* Gather test fix
* Small fixes
* reduce scalar zero values
* scalar mean workaround
* Remove debug code
* along dim mean workaround
* one more test
* - equalsTo() tweak for empty arrays
- one more test
* broadcast tweaks
* Capsnet test runtime improvements
* Slow test speedups
* Next round of test speed improvements
* More test improvements
* Improve test speed
* Next round of test speedups
* Another round
* More test speedups
* Another round
* Another round of test speedups
* Another round of speedups...
* CuDNN test speedups + more tests extending BaseDL4JTest
* Minor fix + more BaseDL4JTest use in other modules
Robert Altena
Ryan Nett
Alex Black
raver119
Samuel Audet
Alexandre Boulanger
skymindops