* - range op now accepts dargs
- dargs now can be in signature
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* range dtype java side
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* linspace fix
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* lin_space fix for scalar outputs
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* initial commit
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* - one more test for OneHot with dtype
- one more signature in Nd4j
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* ones_as/zeros_as now accept dtype
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* one more test
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* - more updates for configurable data types
- ones_as/zeros_as java side + tests
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* few c++ tests fixed
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* few more changes around DArgs
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* Cleanup modules
* Moving subprojects to nd4j-api
* Project cleanup
* Dropped AWS sub-project
* dl4j-util moved to core
* dl4j-perf moved to core
* Tests coverage
* Revert "Moving subprojects to nd4j-api"
This reverts commit bc6eb573c6b60c407ade47172c5d204725077e6b.
* Moved nd4j-buffer and nd4j-context to nd4j-api
* Rolled back change
* Revert "Project cleanup"
This reverts commit 64ac7f369b2d968f7be437718034f093fc886ffc.
* Datavec cleaned up
* Revert "Moved nd4j-buffer and nd4j-context to nd4j-api"
This reverts commit 75f4e8da80d2551e44e1251dd6c5923289fff8e1.
# Conflicts:
# nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/ReductionBpOpValidation.java
* Resolve conflict
* Compilation fixed.
* nd4j-context and nd4j-buffer moved to nd4j-api
* Fixed TF mapping for mmul
* Fix for dl4j-cuda tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Move last few tests from deeplearning4j-nn to -core
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* Remove incorrect TF import mapping for TensorMmul op
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* Cleaned TF mapping
* Fix path for test results on windows
* Remove old dependency
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* One more attempt to fix path for test results on windows
* fixup! One more attempt to fix path for test results on windows
* fixup! One more attempt to fix path for test results on windows
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
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* missing alloc validation in RandomGenerator for CUDA
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* set error message if rng alloc failed
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* check for error code during RNG creation in java
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* nd4j-aeron profiles
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* nd4j-aeron profiles
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* skip one long test
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* skip one long test
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* kryo profile
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* few more profiles
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* few more profiles
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* few more profiles
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* Add maven profile + base tests methods for integration tests
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* Switch from system property to environment variable; seems more reliable in intellij
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* Add nd4j-common-tests module, and common base test; cleanup
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* Ensure all ND4J tests extend BaseND4JTest
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* Test spam reduction, import fix
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* Add test logging to nd4j-aeron
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* Fix unintended change
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* Reduce sprint test log spam
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* More test spam cleanup
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* Significantly speed up TSNE tests
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* W2V iterator test unit/integration split
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* More NLP test speedups
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* Avoid debug/verbose mode leaking between tests
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* test tweak
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* 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
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* Fix ND4J base test
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* Few small ND4J test speed improvements
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* DL4J tests speedup
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* More tweaks
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* Even more test speedups
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* More tweaks
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* Various test fixes
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* More test fixes
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* Add ability to specify number of threads for C++ ops in BaseDL4JTest and BaseND4JTest
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* nd4j-aeron test profile fix for CUDA
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* Added qr op implementation. Initial version.
* Fixed doc for qr op.
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* Implementation of QR decomposition. CPU platform version.
* Added a pair of tests for qr op testing.
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* QR implementation.
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* Corrected norm using.
* Properly calculated intermediate results with QR decomposition.
* Another step to implement QR algorithm by householder.
* Cpu implementatio for QR decomposition. The first working edition.
* Corrected test to QR decomposition.
* Added tad multithreading with QR implementation.
* Finished cpu implementation for QR decomposition helpers.
* Refactored tests and improved multithreading.
* Refactored QR cpu implementation and update cuda implementation helpers.
* Cuda QR helper implementation. The first working edition.
* Eliminated waste prints.
* Restore multithreading with cuda implementation.
* Ops names corrected
* Refactored qr op helpers to optimize.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Eliminated waste manual ticking.
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* Refactored memory allocation to avoid waste memory usage.
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* Refactored matrixMinor method both for cuda and cpu platforms.
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* Refactored method of vmul to use raw buffers instead type conversion.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored temporary array of matricies.
Signed-off-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
Co-authored-by: raver119 <raver119@gmail.com>
* Added implementation of the triangular_solve op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed compilation issues.
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* Added verification of input data and helpers facilities for triangular_solve op.'
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* Added cpu implementation for triangular_solve helpers.
* Added tests and implementation for upper triangular equations.
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* Added a pair of cases to tests.
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* Added multithreading with cpu helpers for triangular_solve op.
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* Added cuda implementation of triangular_solve op helpers.
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* Finished cuda implementation of triangular_solve helpers and tests.
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* Fixed copyright marks.
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* Corrected grammar errors with doc and error messages.
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* Refactored matricies processing with triangular_solve cuda helper implementation.
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* Added triangular_solve wrapper
* Fixed mapping
* Added processing for adjoint with cpu helpers of triangular_solve op implementation.
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* Added implementation for adjoint routine with cuda platform.
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* Added multithreading with adjoint routine for cpu platform.
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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Added implementation for resize_area op. Initial commit.
* Added implementation of resize_area op. Initial revision.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected resizeArea functor call.
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* Implementation of resize_area. Cpu platform helpers.
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* Implementation for resize_area helpers. The first part revision.
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* Added a set of tests for resize_area op.
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* Cuda implementation for resize_area. Initial approach.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Adding multithreading for resize_area algorithm.
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* Cuda implementation of resize_area helpers. Shared memory approach.
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* Refactored resizeAreaKernel with cuda implementation.
* Eliminated compilation errors.
* ResizeArea helpers for cuda platform. The first working revision.
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* Added test for batched resize_area op testing.
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* Implementation of resize_are for cuda platform and tests.
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* Fixed multithreading with resize_area op helper.
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* Corrected copyright marks with sources.
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* Corrected copyright mark for resize_area op implementation.
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* Corrected copyright mark for parity ops header.
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* Corrected typo in strings and so on with image resize ops.
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* Refactored resize_area helpers and multithreading.
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* Added ResizeArea wrapper
* Added test with align_corners and fixed shape processing with only int args given for output size.
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* Added test
* TF mapping for ResizeArea
* Fixed implementation issues with resize_area op for both platforms.
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* Refactored image resizer struct to use flexible types for ints and floats.
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* Improved multithreading with resizeAreaKernel launch.
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* Use asynchronical memory copying with cuda platform image resize allocations.
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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* initial commit
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* one file
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* few more includes
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* m?
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* const
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* cudnn linkage in tests
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* culibos
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* static reminder
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* platform engine tag
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* HAVE_CUDNN moved to config.h.in
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* include
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* include
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* skip cudnn handle creation if there's not cudnn
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* meh
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* target device in context
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* platform engines
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* platform engines
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* allow multiple -h args
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* allow multiple -h args
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* move mkldnn out of CPU block
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* link to mkldnn on cuda
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* less prints
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* minor tweaks
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* next step
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* conv2d NCHW draft
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* conv2d biasAdd
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* test for MKL/CUDNN combined use
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* - provide additional code for conv2d ff based on cudnn api, not tested yet
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* - further work on conv2d helper based on using cudnn api
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* - fixing several cuda bugs which appeared after cudnn lib had been started to use
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* - implementation of conv2d backprop op based on cudnn api
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* - implementaion of conv3d and conv3d_bp ops based on cudnn api
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* - bugs fixing in conv3d/conv3d_bp ops (cudnn in use)
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* - implementation of depthwiseConv2d (ff/bp) op based on cudnn api
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* - implementation of batchnorm ff op based on cudnn api
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* - disable cudnn batchnorm temporary
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* - add minor change in cmake
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* engine for depthwise mkldnn
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* couple of includes
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* - provide permutation to cudnn batchnorm ff when format is NHWC
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* lgamma fix
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* - eliminate memory leak in two tests
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* Libnd4j: Add broadcastable elementwise power derivative #7461 first step of Pow_bp operation implementation
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* Libnd4j: Add broadcastable elementwise power derivative #7461 some corrections of calculation steps
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* Libnd4j: Add broadcastable elementwise power derivative #7461 some bug fixes, the PowDerevative op made broadcastable, add the raw tests for op, need refactoring to use broadcast ops
* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed several bugs add broadcast support and tests, need to fix scalar+array and array+scalar
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* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed bugs for scalar inputs, fixed multinomial tests, added tests
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* Libnd4j: Add broadcastable elementwise power derivative #7461 fised bugs for different shapes support, tests updated
* Libnd4j: Add broadcastable elementwise power derivative #7461 applied all possible variants via tiled arrays, add support of broadcast for Pow and PowDerivative ops, covered by tests, before review have to be replaced tiled implementation by applyTrueBroadcast
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* Libnd4j: Add broadcastable elementwise power derivative #7461 replaced tile by broadcast implementation, fixed issue with negative x input, corrected tests, need additional testing
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* Libnd4j: Add broadcastable elementwise power derivative #7461 added and corrected test cases, corrected implementation need review
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* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up
* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up, removed some tests, add tests with scalar
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* Libnd4j: Add broadcastable elementwise power derivative #7461 code improvement and clean up, split tests
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* Libnd4j: Add broadcastable elementwise power derivative #7461 some code clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative replace __isnanf by internal realization
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* pow_bp wrapper
* Fixed PowBp wrapper
* Tests added
* Test fixed
* Fix return type
* Disable powBp usage
* Pow backprop changed
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff exec: Fix for switch op when predicate is constant, and op is inside loop
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* Update ignores for failing zoo models
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* #8555 SameDiff profiler analysis improvements
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* Fix TF sub-op aggregation
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* Small filtering tweak
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* Copyright headers
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* Allow scalar op result array auto allocation
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* Don't swallow underlying exception for calculateOutputShape execution failures
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* Ignore for known keras failure
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* Profiler
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* Next steps, polishing, and loading SD/TF format JSON
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* Next steps
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* Profile comparison method
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* Make profiling result writing async to reduce main thread overhead
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* Profiling polishing
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* Fix
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* Profile analyzer fixes
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* Polish
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* Cleanup
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* Small formatting improvement
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* Formatting tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* License headers
Signed-off-by: Alex Black <blacka101@gmail.com>
* Timeouts added
* Added some ops
* Ops added
* Fixed tests
* Minor fix
* Some fixes
* Digamma added
* Small fixes
* Timeouts added
* Added some ops
* Ops added
* Fixed tests
* Minor fix
* Some fixes
* Digamma added
* Small fixes
* Fused batch norm fixes-
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests switched off.
* Added test for resize_bicubic.
* Eliminated wasted in test of bicubic resize.
* Switched off multithreading explicit.
* HsvToRgb and RgbToHsv added
* Eliminated waste comments and conform proper float constants.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed multithreading with resize_bicubic helper for cpu platform.
Signed-off-by: shugeo <sgazeos@gmail.com>
* ResizeBicubic was fixed.
* Some fixes
* Fix op name
* Validation fixed.
* Clarifications for tests
* Wrappers and small fixes for new ops.
* Add op counting to TensorFlowImportValidator
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Test tweak
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* resize_bicubic: allow more dtypes
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* resize_bicubic: allow less dtypes
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* Refactored resize_bicubic op to full conform with TF1.5 and tests.
* Corrected test to proper data type output.
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* Corrected double input test to float constant outputs.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Finished with correction of tests for bicubic interpolated resizes expected.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed adjust_contrast ops to allow non-RGB inputs.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored adjust_contrast_v2 to conform with TF one.
Signed-off-by: shugeo <sgazeos@gmail.com>
* AdjustContrast tests activated
* two typos fixed
Signed-off-by: raver119 <raver119@gmail.com>
* cleaned up bert iterator tests (#110)
Signed-off-by: eraly <susan.eraly@gmail.com>
* Various pre-release fixes (#111)
* Various fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix default dtypes for MaxPoolWithArgmax
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* Small pre-release tweak (#112)
* Log UI address on launch as in previous Play-based UI
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* Logging level tweak for UI
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* http not https
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* datavec python ensure host (#113)
* ensure host
* one more host ensure
* info->debug
* [WIP] reverse improvements (#115)
* initial commit
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* reverse draft
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* reverse kernel
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* reverse kernel
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* 2 micro fixes
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* Shugeo resize fix5 (#102)
* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
Signed-off-by: raver119 <raver119@gmail.com>
* - add causal mode of padding to convolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add additional tests for causal conv1d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add causal mode for cuda conv kernels
Signed-off-by: Yurii <iuriish@yahoo.com>
* Java side of Conv1D changes
Signed-off-by: raver119 <raver119@gmail.com>
* Add Conv1DDerivative op
Signed-off-by: Alex Black <blacka101@gmail.com>
* Causal Conv1D gradient checks
Signed-off-by: Alex Black <blacka101@gmail.com>
* Tweaks
Signed-off-by: Alex Black <blacka101@gmail.com>
* - add causal padding mode to conv2d_bp
Signed-off-by: Yurii <iuriish@yahoo.com>
* More thorough causal conv1d tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Implementation for non_max_suppression_v3 was added. Initial version
* Added check for overcome threshold.
* Added definition for V3 method.
* java remapping for NonMaxSuppressionV3
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed proporly processing of an empty output and test.
* Refactored op to less threshold data to float.
* Implemented cuda-based helper for non_max_suppression_v3 op.
* Fixed fake_quant_with_min_max_vars op.
* Fixed tests with float numbers.
* - assert now stops execution
- sortByKey/sortByValue now have input validation
Signed-off-by: raver119 <raver119@gmail.com>
* missing var
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed proper processing for zero max_size inputs.
* Refactored kernel callers.
* Fixed return statement for logdet op helper.
* Refactored unsorted segment SqrtN op.
* get back 8 tail bytes on CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored segment prod ops and helpers for cuda and tests.
* Additional test.
* CudaWorkspace tests updated for 8 tail bytes
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* special atomic test
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* atomicMul/atomicDiv fix for 16bit values
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* Eliminated waste prints.
* Update shaded Jackson version to 2.10.1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove no longer needed scala compiler plugin from UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix op name for BitwiseAnd op
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* TimeDistributedLayer mask array fix + test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Corrected input checking and tests for bitcast op.
* Fixed an issue with non_max_suppression form generation and processing with score threshold given.
* Fixed bilinear resize kernel and tests.
* push for Serhii
Signed-off-by: raver119 <raver119@gmail.com>
* Added test for nearest_neighbor resize with int input.
* Added data type check for input/output match.
* Eliminate error in macros.
* Improved output message for type checking.
* Fixed input/output types for op.
* Eliminated waste logging.
* Refactored resize_bilinear helper for multithreading for cpu platform.
* Cosmetic changes only.
* Fixed error for string substitution.
* Skip test for cbow_batch with cuda.
* fix for resizeNearestNeighbor output dtype
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored non_max_suppression helper.
* Refactored shape generation and input handling.
* Added additional test.
* ND4J: Fix OpenBLAS loading for nd4j-native and remove bundling of OpenMP
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Bundle back libgomp.so.1 for Linux
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Readd preload directories for ARM
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Add back preloads for GCC on Windows
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Add explicit preloadpaths for ARM and POWER to bundle correct library
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea
Signed-off-by: raver119 <raver119@gmail.com>
* Create op and mapping for it
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* - get rid of some copy procedures in mmulHelper ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on cuda batched gamm api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write own cuda kernel performing batched gemm
Signed-off-by: Yurii <iuriish@yahoo.com>
* missing include in MmulHelper
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* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future
Signed-off-by: Yurii <iuriish@yahoo.com>
* disable old tensordot
Signed-off-by: raver119 <raver119@gmail.com>
* - rewrite cuda kernels for usualGemm and usualGemv
Signed-off-by: Yurii <iuriish@yahoo.com>
* - profiling mmul helpers
Signed-off-by: Yurii <iuriish@yahoo.com>
* - prints to check shapes were added
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct type of output array Cin mmulNxN
Signed-off-by: Yurii <iuriish@yahoo.com>
* - take into account possible nans in C array
Signed-off-by: Yurii <iuriish@yahoo.com>
* slightly change numThreads message
Signed-off-by: raver119 <raver119@gmail.com>
* - make corrections in accordance to given notes in pr review
Signed-off-by: Yurii <iuriish@yahoo.com>
* Added implementation files for image_resize and resize_bicubic ops.
* Image resize and image.resize_bicubic ops implementation. Initial revision.
* Minor fix
* Some TF imports disabled.
* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.
* Refactored resize methods.
* Added processing for Mitchelcubic algorithm.
* adjust_contrast
* Small fix for TF import expected value loading when variable name starts with the test name
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests
* Tests added.
* Removed tf names absent in mapping.
* Some fixes.
* Small fixes
* Minor change
* Some failing tests.
* Disable failed test
* Ignore some tests
* Fix import class mapping
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix float property mapping (flatbuffers)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Override equality function for model 'dropout'
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fail tests
* Failed tests ignored temporarily.
* Minor fixes
* Small fix
* Conflict resolved
* Default implementations of tensorflowName and onnxName
* clang as compiler for jcpp
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* we don't need macos profile
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* one range test
Signed-off-by: raver119 <raver119@gmail.com>
* few Context convenience singatures
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* one more range test
Signed-off-by: raver119 <raver119@gmail.com>
* "range" "fix"
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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable
Signed-off-by: raver119 <raver119@gmail.com>
* adjust_contrast now allows scale factor as variable too
Signed-off-by: raver119 <raver119@gmail.com>
* bitcast shape tests
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* BitCast import dtype added
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* few more BitCast signatures
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* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well
Signed-off-by: raver119 <raver119@gmail.com>
* global platform-helpers trigger
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* few signatures renamed
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* - few new env variables to follow
- maxThreads/masterThreads differentiation
Signed-off-by: raver119 <raver119@gmail.com>
* Javadoc update
Signed-off-by: raver119 <raver119@gmail.com>
* #8280 biasadd_bp nchw arg fixes (java side) + test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8285 Concat op Java side fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Concat op cpp fix - allow dynamic axis to be negative, same as static axis
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* ignores for deconv3d import tests until deconv3d_tf op is implemented
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* - write code for new batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for batchnorm backprop based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing bugs in batchnorm_bp mkl dnn
Signed-off-by: Yurii <iuriish@yahoo.com>
* - made corrections required by reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* - change name in java wrapper for batchnorm op
Signed-off-by: Yurii <iuriish@yahoo.com>
* update javadocs and a few method signatures
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add PRelu op
Signed-off-by: Ryan Nett <rnett@skymind.io>
* test and fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add PRelu op
Signed-off-by: Ryan Nett <rnett@skymind.io>
* test and fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* slightly better test
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Fixed signatures. SameDiff tests
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Tests fixed
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Test fixed
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Small fix
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Fixed test
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* fix execBackwards training issue
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fix validation not specifying outputs
Signed-off-by: Ryan Nett <rnett@skymind.io>
* another fix for validation listeners and history
Signed-off-by: Ryan Nett <rnett@skymind.io>
* tests
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add single batch dataset output methods
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Fix repo links and clean up old github templates
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More link updates
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small base spark test fix; ROC toString for empty ROC
Signed-off-by: Alex Black <blacka101@gmail.com>
* More fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* SDCNN cleanup
Signed-off-by: Ryan Nett <rnett@skymind.io>
* NonNull annotations
Signed-off-by: Ryan Nett <rnett@skymind.io>
* better javadoc, NonNull fix for sconv
Signed-off-by: Ryan Nett <rnett@skymind.io>
* update builders to fix names
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* even more fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fix for null bias
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Rename flatbuffers DataType enum to DType
Signed-off-by: Alex Black <blacka101@gmail.com>
* Rename flatbuffers DataType enum to DType
Signed-off-by: Alex Black <blacka101@gmail.com>
* Updates for flatbuffers datatype enum renaming
Signed-off-by: Alex Black <blacka101@gmail.com>
* new (for java at least) backprop ops
Signed-off-by: Ryan Nett <rnett@skymind.io>
* update activation functions
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add differential functions for SameDiff
Signed-off-by: Ryan Nett <rnett@skymind.io>
* deprecate old ops
Signed-off-by: Ryan Nett <rnett@skymind.io>
* update correct old ops
Signed-off-by: Ryan Nett <rnett@skymind.io>
* update ops backprop to use new ops
Signed-off-by: Ryan Nett <rnett@skymind.io>
* misc updates for deprecated functions (mostly Nd4j.rand w/ vararg shape)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove old imports
Signed-off-by: Ryan Nett <rnett@skymind.io>
* one test for alex
Signed-off-by: raver119 <raver119@gmail.com>
* fix
Signed-off-by: raver119 <raver119@gmail.com>
* get rid of safety offset in cpp
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* bfloat16
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* minor test rearrangement to fastpath launch
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* - atomicAdd/Mul/Div fix for float16/bfloat16 misalignment
- one special test for maxpoolbp java
- safety offset of 8 bytes is back to libnd4j legacy
Signed-off-by: raver119 <raver119@gmail.com>
* Add java op class for relu derivative, and use in ACtivation ReLU
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* - add one additional test for svd
* - provide float argument in eye op to be a type of output array
Signed-off-by: Yurii <yurii@skymind.io>
* - add cuda capability check to mmulHelper
Signed-off-by: Yurii <yurii@skymind.io>
* - make use another method for divice id evaluation
Signed-off-by: Yurii <yurii@skymind.io>
* Eye data type as T argument
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored kernels for segment_max/min/sum ops.
* Refactored segment_prod kernels.
* Refactored segment_prod kernels.
* DynamicPartition test
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* Addede linear test for dynamic_partition op.
* Refactored test with int datatype.
* some logging
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* some logging
Signed-off-by: raver119 <raver119@gmail.com>
* some logging
Signed-off-by: raver119 <raver119@gmail.com>
* dynamicPartition fix
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* get rid of some logging
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* one more test for dynamic_stitch
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* one more test for dynamic_stitch
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* empty check for stitch
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* minor print changes
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* remove some unneeded java-side output shape calculations
Signed-off-by: Ryan Nett <rnett@skymind.io>
* delete Broadcast
Signed-off-by: Ryan Nett <rnett@skymind.io>
* delete Linear and Module,
Signed-off-by: Ryan Nett <rnett@skymind.io>
* update Identity, HashCode, and NoOp
Signed-off-by: Ryan Nett <rnett@skymind.io>
* removed Cast java-side shape function, added tests and SDVariable.isEmpty
Signed-off-by: Ryan Nett <rnett@skymind.io>
* ignoring test w/ issues on master
Signed-off-by: Ryan Nett <rnett@skymind.io>
* noop needs more work, fixed BaseArithmeticBackprop and BaseDynamicTransform ops
merge in master for c++ build fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fix EqualTo
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fix other cond ops
Signed-off-by: Ryan Nett <rnett@skymind.io>
* "fake" ops calculateOutputShape() throws exception
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use c++ shape calc for Linspace
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fix exception message, move most to BaseCompatOp
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove SDVariable.isEmpty
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove commented out code
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove unneeded resolveProperties methods
Signed-off-by: Ryan Nett <rnett@skymind.io>
* final fixes, make final to prevent more from being added
Signed-off-by: Ryan Nett <rnett@skymind.io>
* gather fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* deprecate DifferentialFunction resolveProps
Signed-off-by: Ryan Nett <rnett@skymind.io>
* one noop test
Signed-off-by: raver119 <raver119@gmail.com>
* skip input validation for no-input ops
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* - one more noop empty test
- one more validation before sync
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* typo
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* one more validation fix
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* CUDA empty reductions java side
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* one svd test
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* Corrected segment_mean helpers and added another test.
* Refactored segment_mean kernels to avoid race_condition.
* CUDA empty reduction
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* - listdiff synchronization fix for CUDA
- listdiff test
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* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output
Signed-off-by: raver119 <raver119@gmail.com>
* small fix of compiler warnings in nd4j.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* indarray javadoc start.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* First steps for protobuf version upgrade
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Phase 2
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update imports to shaded protobuf
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Version fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch to single execution for protobuf codegen to work around plugin bug
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* Automatically delete old PB generated files after name change
Signed-off-by: Alex Black <blacka101@gmail.com>
* one test for maxpool2d_bp
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* - maxpool2d_bp cuda fix for NaNs
- streamSync after each custom op execution
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* one test for size
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* - few tests for size op
- size/rank/size_at ops now use p instead of assign
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* throw exception if op execution failed
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* expected for test
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* one more ismax test
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* ismax view fix
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* Nd4j pad update
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* switched from guava Immutables to Collections.unmodifiableList/Map
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* javadoc
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* use new pad
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* conv tests use OpValidation
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* deconv3d overrides
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* test fix for the new pad method
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* more test fixes
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* more test fixes
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* rename SameDiff function methods to op (except for the actual SameDiff function ones)
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* more pad overloads, test fix
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* test updates
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* conv1d test
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* remove Conv1D tf import (there isn't a TF conv1d op)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove numThreads from Nd4j
Signed-off-by: Ryan Nett <rnett@skymind.io>
* replace Old ops with their newer versions, deprecate ones that haven't already been deprecated
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove use of setNumThreads
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fix for Reverse and ATan2
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* fix test for wrong equals type
Signed-off-by: Ryan Nett <rnett@skymind.io>
* well it works now
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* better javadocs
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* NonNulls
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* better array literal
Signed-off-by: Ryan Nett <rnett@skymind.io>
* re-add tf import stuff (will remove later)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* conv1d config load fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* partial config usage changes
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* remove Old op classes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* config property fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* removed one too many ops
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raver119
Alex Black
Fariz Rahman
Alexander Stoyakin
Robert Altena
shugeo
Oleh
Susan Eraly
Yurii Shyrma
Samuel Audet
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Steven Lang
Ryan Nett
Serhii Shepel
Yurii Shyrma