* RL4J: Add generic update rule (#502)
Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
* Shyrma reduce (#481)
* - start working on improving of cpu legacy code for reduce ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on improving legacy loops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - still working on improving reduce ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on improving reduce ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing speed run of new reduce op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - working on improvement of default loop for reduce op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - update signatures of stuff which calls reduce ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - make corrections in cuda reduce kernels
Signed-off-by: Yurii <iuriish@yahoo.com>
* - change loop for default case in broadcast legacy ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - comment some shape stuff
Signed-off-by: Yurii <iuriish@yahoo.com>
* - comment unnecessary prints in RNGtests
Signed-off-by: Yurii <iuriish@yahoo.com>
* - finish to resolve conflicts after master has been merged
Signed-off-by: Yurii <iuriish@yahoo.com>
* - get rid of some compilation mistakes of cuda stuff
Signed-off-by: Yurii <iuriish@yahoo.com>
* - minor changes
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further search for bug causing crash on java test
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add scalar case in reduce_ ... exec stuff
Signed-off-by: Yurii <iuriish@yahoo.com>
* - minor corrections in NAtiveOps.cu
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add switch to scalar case execReduceXD functions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add support for vectors old shape in ConstantShapeHelper::createShapeInfoWithNoUnitiesForReduce
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct cuda mirrorPad
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add support for vectors old shape in cuda createShapeInfoWithNoUnitiesForReduce
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
* Add support for CUDA 11.0 (#492)
* Add support for CUDA 11.0
* libnd4j tweaks for CUDA 11
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* bindings update, again?
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* * Update versions of JavaCPP Presets for FFmpeg, OpenBLAS, and NumPy
* update API to match CUDA 8
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* * Update version of JavaCPP Presets for CPython
* C++ updated for cuDNN 8.0
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* one more test
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* one more test
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* one more test
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* 128-bit alignment for workspaces
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* change seed in 1 test
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* Fix dependecy duplication in python4j-parent pom
* Fix group id for in python4j-numpy
* few tests tweaked
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* Remove macosx-x86_64-gpu from nd4j-tests-tensorflow
* few minor tweaks for IndexReduce
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* one test removed
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
Co-authored-by: raver119@gmail.com <raver119@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
* RL4J: Add SyncTrainer and AgentLearnerBuilder for a few algorithms (#504)
Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
Co-authored-by: Alexandre Boulanger <44292157+aboulang2002@users.noreply.github.com>
Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
* Refactor nd4j-common: org.nd4j.* -> org.nd4j.common.*
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix CUDA (missed nd4j-common package refactoring changes)
Signed-off-by: Alex Black <blacka101@gmail.com>
* nd4j-kryo: org.nd4j -> org.nd4j.kryo
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix nd4j-common for deeplearning4j-cuda
Signed-off-by: Alex Black <blacka101@gmail.com>
* nd4j-grppc-client: org.nd4j.graph -> org.nd4j.remote.grpc
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-common: org.deeplearning4.* -> org.deeplearning4j.common.*
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-core: org.deeplearning4j.* -> org.deeplearning.core.*
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-cuda: org.deeplearning4j.nn.layers.* -> org.deeplearning4j.cuda.*
Signed-off-by: Alex Black <blacka101@gmail.com>
* Import fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-nlp-*: org.deeplearning4.text.* -> org.deeplearning4j.nlp.(language).*
Signed-off-by: Alex Black <blacka101@gmail.com>
* deeplearning4j-ui-model: org.deeplearning4j.ui -> org.deeplearning4j.ui.model
Signed-off-by: Alex Black <blacka101@gmail.com>
* datavec-spark-inference-{server/model/client}: org.datavec.spark.transform -> org.datavec.spark.inference.{server/model/client}
Signed-off-by: Alex Black <blacka101@gmail.com>
* datavec-jdbc: org.datavec.api -> org.datavec.jdbc
Signed-off-by: Alex Black <blacka101@gmail.com>
* Delete org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter in favor of (essentially identical) org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter
Signed-off-by: Alex Black <blacka101@gmail.com>
* ND4S fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* nd4j-common-tests: org.nd4j.* -> org.nd4j.common.tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Trigger CI
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8878 Ignore CUDA tests on modules with 'nd4j-native under cuda' issue
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix bad imports in tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add ignore on test (already failing) due to #8882
Signed-off-by: Alex Black <blacka101@gmail.com>
* Import fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Additional import fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add maven profile + base tests methods for integration tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch from system property to environment variable; seems more reliable in intellij
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add nd4j-common-tests module, and common base test; cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Ensure all ND4J tests extend BaseND4JTest
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Test spam reduction, import fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add test logging to nd4j-aeron
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix unintended change
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Reduce sprint test log spam
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* More test spam cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Significantly speed up TSNE tests
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* W2V iterator test unit/integration split
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More NLP test speedups
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* Avoid debug/verbose mode leaking between tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* test tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Arbiter extends base DL4J test
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* Arbiter test speedup
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* nlp-uima test speedup
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* More test speedups
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix ND4J base test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Few small ND4J test speed improvements
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J tests speedup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Even more test speedups
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Various test fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* More test fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add ability to specify number of threads for C++ ops in BaseDL4JTest and BaseND4JTest
Signed-off-by: Alex Black <blacka101@gmail.com>
* nd4j-aeron test profile fix for CUDA
Signed-off-by: Alex Black <blacka101@gmail.com>
* Test updated to reflect changes in random generation
* Invalid resource removed and fixed tests
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.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
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* Fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* FakeQuantWithMinMaxArgs
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* 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
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* Exception tweak
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* fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for out of scope stack allocated var use
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* Ignores
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* 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
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* #7909 Arbiter constructor exception ux improvements
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* #7925 RNN output layer length checks
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* #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
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* Fixes
* Fixes
* one more test for Alexander
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* Some fixes
* Some fixes
* one more test for Alexander
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* minor test fix
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* 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
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* special test for george
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* less threads for sortTad
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* provide conv2d for cuda
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* std cuda
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* Refactored non_max_suppression op to conform TF implementation.
* Improved suppression helper.
* provide pooling3d for cuda
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* provide depthwise_conv2d_bp for cuda
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of lup helper with cuda kernel. Initial commit.
* further work on backprops for convolutions
Signed-off-by: Yurii <yurii@skymind.io>
* CUDA linear sort by key/val
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA tad sort by key/val
Signed-off-by: raver119 <raver119@gmail.com>
* start providing of backprop for pooling2d/3d
Signed-off-by: Yurii <yurii@skymind.io>
* Added atomicAdd for bool datatype.
* dynamic partition concept
Signed-off-by: raver119 <raver119@gmail.com>
* dynamic partition concept
Signed-off-by: raver119 <raver119@gmail.com>
* dynamic partition scalar CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* important comment
Signed-off-by: raver119 <raver119@gmail.com>
* fix pooling2d/3d backprop helpers
Signed-off-by: Yurii <yurii@skymind.io>
* Added non-linear test with dynamic_partition.
* Improved test for dynamic_partition.
* dynamic_partition TAD concept
Signed-off-by: raver119 <raver119@gmail.com>
* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix
Signed-off-by: raver119 <raver119@gmail.com>
* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d
Signed-off-by: Yurii <yurii@skymind.io>
* dynamic_stitch CUDA vector case
Signed-off-by: raver119 <raver119@gmail.com>
* dynamic_stitch CUDA TAD case concept
Signed-off-by: raver119 <raver119@gmail.com>
* dynamic_stitch CUDA TAD case impl
Signed-off-by: raver119 <raver119@gmail.com>
* Added tests for dynamic_stitch 3D-4D cases.
* minor tests tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed type check for dynamic stitch.
* min/max bp
Signed-off-by: raver119 <raver119@gmail.com>
* rewrite code for upsampling2d/3d cpu
Signed-off-by: Yurii <yurii@skymind.io>
* reduce min/max/norm_max bp
Signed-off-by: raver119 <raver119@gmail.com>
* lup implementation. Additional enhancements.
* provide code for upsamling2d/3d backprop
Signed-off-by: Yurii <yurii@skymind.io>
* weightedCrossEntropyWithLogits
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed template math atomicMul for 64bit ints.
* Refactored dynamic_partition_bp op.
* inverseBroadcast fix
Signed-off-by: raver119 <raver119@gmail.com>
* DynamicPartitionBP test datatype fixed.
* - nd4j_atomicMul Windows fix
- cpu/NDArrayLambda.hpp excluded from CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* 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
dariuszzbyrad
Samuel Audet
raver119
Abdelrauf
Alex Black
CT
Alexander Stoyakin
Serhii Shepel
skymindops