* 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
Signed-off-by: Alex Black <blacka101@gmail.com>
* Remove incorrect TF import mapping for TensorMmul op
Signed-off-by: Alex Black <blacka101@gmail.com>
* Cleaned TF mapping
* Fix path for test results on windows
* Remove old dependency
Signed-off-by: Alex Black <blacka101@gmail.com>
* 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>
Co-authored-by: raver119 <raver119@gmail.com>
* Added test for issue with resize_area op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added a pair of tests for resize_are op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored resize_area kernel to avoid shared memory overflow.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Eliminated prints with tests.
Signed-off-by: shugeo <sgazeos@gmail.com>
* ignore bad test
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed test with resize_area.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed test for float constants.
Signed-off-by: shugeo <sgazeos@gmail.com>
Co-authored-by: raver119 <raver119@gmail.com>
* missing alloc validation in RandomGenerator for CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* 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
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
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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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Arbiter extends base DL4J test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Arbiter test speedup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* nlp-uima test speedup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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>
* Added qr op implementation. Initial version.
* Fixed doc for qr op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation of QR decomposition. CPU platform version.
* Added a pair of tests for qr op testing.
Signed-off-by: shugeo <sgazeos@gmail.com>
* QR implementation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* 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.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored memory allocation to avoid waste memory usage.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored matrixMinor method both for cuda and cpu platforms.
Signed-off-by: shugeo <sgazeos@gmail.com>
* 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.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added verification of input data and helpers facilities for triangular_solve op.'
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added cpu implementation for triangular_solve helpers.
* Added tests and implementation for upper triangular equations.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added a pair of cases to tests.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added multithreading with cpu helpers for triangular_solve op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added cuda implementation of triangular_solve op helpers.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Finished cuda implementation of triangular_solve helpers and tests.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed copyright marks.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected grammar errors with doc and error messages.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored matricies processing with triangular_solve cuda helper implementation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added triangular_solve wrapper
* Fixed mapping
* Added processing for adjoint with cpu helpers of triangular_solve op implementation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added implementation for adjoint routine with cuda platform.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added multithreading with adjoint routine for cpu platform.
Signed-off-by: shugeo <sgazeos@gmail.com>
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.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation of resize_area. Cpu platform helpers.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation for resize_area helpers. The first part revision.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added a set of tests for resize_area op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Cuda implementation for resize_area. Initial approach.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Adding multithreading for resize_area algorithm.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Cuda implementation of resize_area helpers. Shared memory approach.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored resizeAreaKernel with cuda implementation.
* Eliminated compilation errors.
* ResizeArea helpers for cuda platform. The first working revision.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added test for batched resize_area op testing.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation of resize_are for cuda platform and tests.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed multithreading with resize_area op helper.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected copyright marks with sources.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected copyright mark for resize_area op implementation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected copyright mark for parity ops header.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected typo in strings and so on with image resize ops.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored resize_area helpers and multithreading.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added ResizeArea wrapper
* Added test with align_corners and fixed shape processing with only int args given for output size.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added test
* TF mapping for ResizeArea
* Fixed implementation issues with resize_area op for both platforms.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored image resizer struct to use flexible types for ints and floats.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Improved multithreading with resizeAreaKernel launch.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Use asynchronical memory copying with cuda platform image resize allocations.
Signed-off-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* one file
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* move mkldnn out of CPU block
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* link to mkldnn on cuda
Signed-off-by: raver119 <raver119@gmail.com>
* less prints
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* minor tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* next step
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* conv2d NCHW draft
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* conv2d biasAdd
Signed-off-by: raver119 <raver119@gmail.com>
* test for MKL/CUDNN combined use
Signed-off-by: raver119 <raver119@gmail.com>
* - provide additional code for conv2d ff based on cudnn api, not tested yet
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on conv2d helper based on using cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - fixing several cuda bugs which appeared after cudnn lib had been started to use
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementation of conv2d backprop op based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementaion of conv3d and conv3d_bp ops based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - bugs fixing in conv3d/conv3d_bp ops (cudnn in use)
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementation of depthwiseConv2d (ff/bp) op based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementation of batchnorm ff op based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - disable cudnn batchnorm temporary
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add minor change in cmake
Signed-off-by: Yurii <iuriish@yahoo.com>
* engine for depthwise mkldnn
Signed-off-by: raver119 <raver119@gmail.com>
* couple of includes
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* - provide permutation to cudnn batchnorm ff when format is NHWC
Signed-off-by: Yurii <iuriish@yahoo.com>
* lgamma fix
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* - eliminate memory leak in two tests
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 first step of Pow_bp operation implementation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 some corrections of calculation steps
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* 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
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed bugs for scalar inputs, fixed multinomial tests, added tests
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* 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
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 replaced tile by broadcast implementation, fixed issue with negative x input, corrected tests, need additional testing
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 added and corrected test cases, corrected implementation need review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* 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
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 code improvement and clean up, split tests
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* 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
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* 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>
* - implementation of depthwise_conv2d (both ff/bp) based on mkl dnn api
* - minor corrections in deconv3d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove unnecessary time test
Signed-off-by: Yurii <iuriish@yahoo.com>
* - update mkl dnn version in cmake
Signed-off-by: Yurii <iuriish@yahoo.com>
* - take into account several notes given by pr reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* - fix bug in depthwise conv2d op based on mkl
Signed-off-by: Yurii <iuriish@yahoo.com>
* SameDiff exec: Fix for switch op when predicate is constant, and op is inside loop
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update ignores for failing zoo models
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* libnd4j: Multinomial op #8570 first raw step of multinomial random data generator implementation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op #8570 next step of multinomial random categories generator implementation on both cpu and cuda, need corrections and code clean up before review and testing
* libnd4j: Multinomial op #8570 code clean up and fixed issues data selecting, moved from coords to tads
* libnd4j: Multinomial op #8570 fixed cuda build add reference for math materials that was used for implementation
* libnd4j: Multinomial op #8570 fixed several bugs, added several tests and improved cuda version. current implementation works, need testing of reproduction with the same seed
* libnd4j: Multinomial op #8570 fixes and optimization after discussion in both cuda and cpu
* libnd4j: Multinomial op #8570 add corrections after review, removed tads, replace 2D parallel loop by 3D
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op fixed declaration and add tests need discussion
* libnd4j: Multinomial op fix in test
* libnd4j: Multinomial op corrected behavior to get reproducible results, fixed issue in uniform value getting, tests added, need cuda review and cuda testing
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op fixed indexing on uniform calculation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op some corrections in max min declaration
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op fixed index calculation, added rewind, corrected input declaration, added stats tests, both cuda and cpu. cuda need testing
* libnd4j: Multinomial op fixed bugs on cuda nad cpu. need review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op corrected tests to handle different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op some improvements after code review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op more corrections after review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op fixed seed usage, update tests, fixed cuda based on comments, fixed bug of rewind, removed one behavior, minor corrections.
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op minor corrections
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op rise the bound of fluctuation for random cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: Multinomial op modified operation inputs and update implementation and tests on both cpu and cuda
* libnd4j: Multinomial op corrected data types according ops.proto
Co-authored-by: raver119 <raver119@gmail.com>
* libnd4j: RgbToYuv and YuvToRgb, both implementations for both cpu and cuda. Need adding tests and review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToYuv and YuvToRgb, replace coords method on Tad in both cpu and cuda, add tests, fixed bugs
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToYuv and YuvToRgb minor corrections
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToYuv and YuvToRgb corrections to use operations in-place
* one special test
Signed-off-by: raver119 <raver119@gmail.com>
* one special test
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* local memory for concat
Signed-off-by: raver119 <raver119@gmail.com>
* fixed grid size for concat
Signed-off-by: raver119 <raver119@gmail.com>
* fixed grid size for concat
Signed-off-by: raver119 <raver119@gmail.com>
* test commented out
Signed-off-by: raver119 <raver119@gmail.com>
* #8555 SameDiff profiler analysis improvements
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix TF sub-op aggregation
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small filtering tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* Copyright headers
Signed-off-by: Alex Black <blacka101@gmail.com>
* Allow scalar op result array auto allocation
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Don't swallow underlying exception for calculateOutputShape execution failures
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Ignore for known keras failure
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* - specifying template instantiation for certain types in float16 and bloat16
Signed-off-by: Yurii <iuriish@yahoo.com>
* - polishing bfloat16 and float16 member functions template specialization
Signed-off-by: Yurii <iuriish@yahoo.com>
* - rewrite and overload array +-*/ scalar and scalar +-*/ arr in NDAray class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - make corrections which have to do with and rvalue lvalue conversions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide move semantic in NDArray operators array +-/* array
Signed-off-by: Yurii <iuriish@yahoo.com>
* float16/bfloat16 tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* one more tweak
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* - make float16 and bfloat16 to compile successfully on cuda
Signed-off-by: Yurii <iuriish@yahoo.com>
* - do not use resources of view-like arrays when move semantics is applied
Signed-off-by: Yurii <iuriish@yahoo.com>
* - get rid of pointers in signatures NDArray methods 1
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correction of signature of NDArray::dup method
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correction of signature of NDArray::reduceAlongDimension method
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyIndexReduce and applyTrueBroadcast methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyReduce3 and varianceAlongDimension methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::tensorsAlongDimension and diagonal methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::allTensorsAlongDimension
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::reduceAlongDimension 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyTransform 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyPairwiseTransform 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyBroadcast 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyTrueBroadcast 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyScalar and applyScalarArr
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::lambda methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::reduce3 methods 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of following NDArray methods: add/sub/mul/div row/column and fillAsTriangular
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::tileToShape methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::isShapeSameStrict method
Signed-off-by: Yurii <iuriish@yahoo.com>
* minor corrections in tests
Signed-off-by: Yurii <iuriish@yahoo.com>
* - replace reduce op in batchnorm mkldnn
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add explicit templates instantiations for operator+(NDArray&&. const scalar)
Signed-off-by: Yurii <iuriish@yahoo.com>
* - corrections of casts in float16/bfloat16
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide move semantics in following NDArray methods: transform, applyTrueBroadcast, transpose, reshape, permute
Signed-off-by: Yurii <iuriish@yahoo.com>
* - get rid of input array A duplicate in svd cuda op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - avoid available bug in svd cuda API
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add temporary global memory buffer in svd cuda when calcUV = false and m != n
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove test with blfoat16 type for betainC
Signed-off-by: Yurii <iuriish@yahoo.com>
* - resolve conflicts after master has been merged in
Signed-off-by: Yurii <iuriish@yahoo.com>
* - changed type of affected input array in fused_batch_norm
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add several explicit type castings
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add ND4J_EXPORT to operators
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add explicit template types in instantiations of template arithm operators of NDArray class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - one more test fix
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
* libnd4j: RgbToGrayscale op #8536 - raw implementation in user branch, need checks for integration and adding other orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToGrayscale op #8536 next step of merging images
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToGrayscale op #8536, Revert merge of hsv_to_rgb and rgb_to_hsv as cause conflicts in naming need refactoring before merge, implementation of rbg_to_grs added
* libnd4j: RgbToGrayscale op #8536 imlementation and conflict resolve
* libnd4j: RgbToGrayscale op #8536 merged operations with images into image, renamed methods and files
* libnd4j: RgbToGrayscale op #8536 added test for rgbToGrayScale, need clarification and fixed tests case run
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToGrayscale op #8536 bug fixing and need review
* libnd4j: RgbToGrayscale op #8536 some additional corrections after review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* - minor corrections in rgbToGrs test1
Signed-off-by: Yurii <iuriish@yahoo.com>
* libnd4j: RgbToGrayscale op #8536, corrected tests and rbf_to_grs, fixed problems, refactoring, need review
* libnd4j: RgbToGrayscale op #8536 fix for 'f' order in rgbToGrs
* libnd4j: RgbToGrayscale op #8536 fixed several bugs with dimC, test case refactoring and improve
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* - add cuda kernel for rgbToGrs op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - fix linkage errors
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
* Added infrastructure for implementation op lu for both cuda and cpu platforms.
* Added implementation of helpers with lu op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored LU decomposition to use vector of permutations instead.
* Refactored helpers for lu op.
* Fixed crash with determinant op.
* Refactored cpu LU op heleper.
* Added implementation for lu op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed issue with argmax on column.
* Added multithreaded behaviour for lu op helper.
* Fixed multithreaded cpu implementation helpers for lu op.
* Added cuda implementation for lu op helper.
* Finished lu helper implementation for cuda platform.
* Eliminated waste prints and comments.
* Fixed race condition and multithreading issues.
* Fixed memory leak with shape construction.
* Corrected test for lu op to avoid near zero elements on the main diagonal."
Signed-off-by: shugeo <sgazeos@gmail.com>
* Improved test for adjust_constast op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed issues with cuda implementation of resize_bicubic helpers.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Profiler
Signed-off-by: Alex Black <blacka101@gmail.com>
* Next steps, polishing, and loading SD/TF format JSON
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Profile comparison method
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Make profiling result writing async to reduce main thread overhead
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Profiling polishing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Profile analyzer fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Polish
Signed-off-by: Alex Black <blacka101@gmail.com>
* Cleanup
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small formatting improvement
Signed-off-by: Alex Black <blacka101@gmail.com>
* Formatting tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* License headers
Signed-off-by: Alex Black <blacka101@gmail.com>
* Expanding allowed paddings type to 64bit ints also.
* Extended to int64 paddins data types for mirror_pad op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added test for resize_bicubic.
* Eliminated wasted in test of bicubic resize.
* Switched off multithreading explicit.
* 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>
Alexander Stoyakin
shugeo
raver119
Robert Altena
Alex Black
Oleh
Yurii Shyrma
Susan Eraly
Abdelrauf