* Adding more datatypes support in datavec-python
* Using numpy C API for creating numpy arrays
* Adding parameterized tests
* Adding support for BFLOAT16 (by converting it to FLOAT)
* Cleanup
* Using casting instead of creating an array
* Giving out a warning while casting array from BFLOAT16 to FLOAT
* Add syncToPrimary and syncToSpecial methods to BaseDataBuffer
Signed-off-by: Alex Black <blacka101@gmail.com>
* Python exec: sync to host before passing pointers
Signed-off-by: Alex Black <blacka101@gmail.com>
* Added copyright header
* use np api (#267)
* python exec / numpy - check object type before cast (#268)
* use np api
* verify object before cast
* fix cong
* cuda fix
* inplace test + tiny fix
* more test
* fix double alloc
* rem tags
* fix cuda check
* Fix implicit CUDA dependency in datavec-python tests; remove new method, add test
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Fariz Rahman <farizrahman4u@gmail.com>
* created NDImage.java and fixed constructor in AdjustContrast.java
* created NDImage.java and fixed constructor in AdjustContrast.java
* created NDImage.java and fixed constructor in AdjustContrast.java v2
* regenerated NDImage from cleaned Image,kt also cleaned AdjustContrast.java
* draft of NDCNN
* draft of NDCNN
* started NDRNN
* started NDRNN
* looking like finished with namespace
* Regenerate namespaces
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add ND4J namespace methods for new namespaces
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fixes, cleanup
Signed-off-by: Alex Black <blacka101@gmail.com>
* More fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Andrii Tuzhykov <andrew@unrealists.com>
Co-authored-by: Andrii Tuzhykov <andrew@konduit.ai>
Co-authored-by: AlexDBlack <blacka101@gmail.com>
* Revive and start updating DL4J integration tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add SameDiff support - first pass
Signed-off-by: Alex Black <blacka101@gmail.com>
* SameDiff test case generation
Signed-off-by: Alex Black <blacka101@gmail.com>
* SameDiff integration tests polishing
Signed-off-by: Alex Black <blacka101@gmail.com>
* More SameDiff integration test fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Final polish
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small test tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* codegen for SDLoss. WIP.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* first pass of SDLoss.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* wip. Firsat cut of new op constructors. UNTESTED , NOT COMPILED YET.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* updated op signatures.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* add NDLoss tests.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* fix test.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* adds loss default params. factory.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Regenerate NDLoss
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* adds tests for null weights.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Last few tweaks
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Robert Altena <Rob@Ra-ai.com>
* Add check to ensure ALL tests extend BaseND4JTest for proper timeouts + logging
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add 'must extend BaseDL4JTest' check for deeplearning4j-core
Signed-off-by: Alex Black <blacka101@gmail.com>
* Flush logging on workspace exit during tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add Maven profiles for ARM builds to pom.xml files
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Remove mkl from dependencies when running on non intel/amd platforms
* Downgrade openblas for now
* Change back to 0.3.8
Co-authored-by: Adam Gibson <1144306+agibsonccc@users.noreply.github.com>
* initial set of include changes
Signed-off-by: raver119 <raver119@gmail.com>
* one more tweak
Signed-off-by: raver119 <raver119@gmail.com>
* few more rearrangements
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* few more rearrangements
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* few more rearrangements
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* cuda includes rearrangements
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* java update
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* = namespace changed to sd
- few CMake variables renamed with SD_ prefix
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* java update
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* LoopKind minor fix
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* few more changes
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* few more changes
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* few more changes
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* sanitizer is optional now
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* dev tests updated
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* few more changes
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* last update
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* java update
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* #8565 Normalizer toString/hashcode
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8731 ImagePreProcessingScaler lables/segmentation fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8691 Fix SameDiffLayer/Vertx finetuning and parameter setting support
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8663 DL4J embedding layer weight init - don't depend on vocab size
Signed-off-by: Alex Black <blacka101@gmail.com>
* EmbeddingLayer test tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* - profiling of concat op (both cuda and cpu)
Signed-off-by: Yurii <iuriish@yahoo.com>
* better comparison for large concat
Signed-off-by: raver119 <raver119@gmail.com>
* - further improving of concat op
Signed-off-by: Yurii <iuriish@yahoo.com>
* some loggin
Signed-off-by: raver119 <raver119@gmail.com>
* - add possibility to verify presence of trailing unities in shape and set strides/ews correspondingly
- restrict second simple case in concat op to c order only
Signed-off-by: Yurii <iuriish@yahoo.com>
* - move concat op to specials_single.cpp file
Signed-off-by: Yurii <iuriish@yahoo.com>
* - get rid of second concat op declaration in transforms.cpp file
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
* Libnd4j: TensorMMul backprop op #8174, raw implementation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 merge master and some corrections
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 algorithm update, need testing, sync with master
* Libnd4j: TensorMMul backprop op #8174 fixed incorrect B axes calculation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 optimize axes identification and fix bug of indeces overlapping, added first test. need testing with different shapes
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 some fixes and improvements need more testing
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed order of matrix multiply
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed issue of incorrect axes definition, add tests based on TF, need additional testing for case dLdC not equal 1
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed scalar case add test
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed bp algorithm, axes definition, need some mode testing with different orders combination f,c; c,f f,f and add some checks for inputs
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 some checks and corrections added tests, exists the problem with different input orders support A-f B-c and A-f B-f
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 sync master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* - correct bug in MmulHelper::tensorDot(a, b, c, axes_a, axes_b,permutForC)
Signed-off-by: Yurii <iuriish@yahoo.com>
* Libnd4j: TensorMMul backprop op #8174 code clean up and refactoring
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* - add check for linspase ordered permutations in ShapeUtils::evalShapeForTensorDot
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide additional code in shape::reshape stuff in order to reduce amount of allocation/copy operations during reshaping procedure
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on problem of wrong shape evaluation during permute/reshape procedures
Signed-off-by: Yurii <iuriish@yahoo.com>
* - still looking for bug reason in reshape/permute stuff
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct bug in transform cuda native ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct bug in NDArray::assign
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove old shape::reshape stuff
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add possibility to disable copy of old buffer to new buffer during reshape operation in NDArray class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct bug in tensorDot which had to do with wrong pointers assigments
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: Oleh <oleg.semeniv@gmail.com>
* Gradients tests added
* Fix for Standard deviation serialization + test
Signed-off-by: Alex Black <blacka101@gmail.com>
* More fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Test fixed
* Spark config driver host config for CI
Signed-off-by: Alex Black <blacka101@gmail.com>
* Op validation timeout increase
Signed-off-by: Alex Black <blacka101@gmail.com>
* Gradient check - fix for low probability test failure due to randomly all 0s mask
Signed-off-by: AlexDBlack <blacka101@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
* special workaround methods for DataBuffer.write
Signed-off-by: raver119 <raver119@gmail.com>
* one test removed
Signed-off-by: raver119 <raver119@gmail.com>
* more of unsynced
Signed-off-by: raver119 <raver119@gmail.com>
* missing asLong for BaseCudaDataBuffer
Signed-off-by: raver119 <raver119@gmail.com>
* linear equations systems solve op. Initial commit.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed compiling issues.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Linear equations systems solve. The next stage commit.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added test for linear equations systems solve operation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added additional test and fixed lower matrix retrievance.
* Implementation for solve of the systems of linear equations."
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored permutation generation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added restore for permutations batched with cuda helper for solve op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Finished cuda implementation for solve op helpers.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored cpu helpers for solve op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fix gtest output on Windows
* Fixed issue with permutation matrix for cuda implementation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed issue with permutation matrix for cpu implementation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Eliminated waste comments.
Signed-off-by: shugeo <sgazeos@gmail.com>
* LinearSolve added
* Mapping added
* Javadoc added
* Refactored implementation of triangular_solve helpers and tests for solve matrix equations generally.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added a test for solve op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Solve test added
* Fix for TF import
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* - range op now accepts dargs
- dargs now can be in signature
Signed-off-by: raver119 <raver119@gmail.com>
* range dtype java side
Signed-off-by: raver119 <raver119@gmail.com>
* linspace fix
Signed-off-by: raver119 <raver119@gmail.com>
* lin_space fix for scalar outputs
Signed-off-by: raver119 <raver119@gmail.com>
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* - one more test for OneHot with dtype
- one more signature in Nd4j
Signed-off-by: raver119 <raver119@gmail.com>
* ones_as/zeros_as now accept dtype
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* one more test
Signed-off-by: raver119 <raver119@gmail.com>
* - more updates for configurable data types
- ones_as/zeros_as java side + tests
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* few c++ tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* few more changes around DArgs
Signed-off-by: raver119 <raver119@gmail.com>
* 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>
* 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
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* 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
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
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
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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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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
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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
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* 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
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* License headers
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* 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
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* 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.
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* 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.
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* AdjustContrast tests activated
* two typos fixed
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* 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
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* - add causal mode of padding to convolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add additional tests for causal conv1d
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* - add causal mode for cuda conv kernels
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* Java side of Conv1D changes
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* Add Conv1DDerivative op
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* Causal Conv1D gradient checks
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* Tweaks
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* - add causal padding mode to conv2d_bp
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* More thorough causal conv1d tests
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* Implementation for non_max_suppression_v3 was added. Initial version
* Added check for overcome threshold.
* Added definition for V3 method.
* java remapping for NonMaxSuppressionV3
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* 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
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* missing var
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* 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
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* 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
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* Remove no longer needed scala compiler plugin from UI
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* Fix op name for BitwiseAnd op
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* TimeDistributedLayer mask array fix + test
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* 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
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* 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
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* 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
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* Readd preload directories for ARM
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* 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
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* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea
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* Create op and mapping for it
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* - get rid of some copy procedures in mmulHelper ops
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* - 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
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* - write own cuda kernel performing batched gemm
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* 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
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* disable old tensordot
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* - rewrite cuda kernels for usualGemm and usualGemv
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* - profiling mmul helpers
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* - prints to check shapes were added
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* - correct type of output array Cin mmulNxN
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* - take into account possible nans in C array
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* slightly change numThreads message
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* - make corrections in accordance to given notes in pr review
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* 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
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* 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
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* Fix float property mapping (flatbuffers)
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* Override equality function for model 'dropout'
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* Fail tests
* Failed tests ignored temporarily.
* Minor fixes
* Small fix
* Conflict resolved
* Default implementations of tensorflowName and onnxName
* clang as compiler for jcpp
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* we don't need macos profile
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* one range test
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* few Context convenience singatures
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* one more range test
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* "range" "fix"
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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable
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* adjust_contrast now allows scale factor as variable too
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* 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
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* global platform-helpers trigger
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* few signatures renamed
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* - few new env variables to follow
- maxThreads/masterThreads differentiation
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* Javadoc update
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* #8280 biasadd_bp nchw arg fixes (java side) + test
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* #8285 Concat op Java side fixes
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* Concat op cpp fix - allow dynamic axis to be negative, same as static axis
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* ignores for deconv3d import tests until deconv3d_tf op is implemented
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* - write code for new batchnorm backprop
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* - testing batchnorm backprop
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* - write code for batchnorm backprop based on mkl dnn api
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* - testing and fixing bugs in batchnorm_bp mkl dnn
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* - made corrections required by reviewer
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* - change name in java wrapper for batchnorm op
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* update javadocs and a few method signatures
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add PRelu op
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* 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
Signed-off-by: raver119 <raver119@gmail.com>
* bfloat16
Signed-off-by: raver119 <raver119@gmail.com>
* minor test rearrangement to fastpath launch
Signed-off-by: raver119 <raver119@gmail.com>
* - 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
Signed-off-by: raver119 <raver119@gmail.com>
* Addede linear test for dynamic_partition op.
* Refactored test with int datatype.
* some logging
Signed-off-by: raver119 <raver119@gmail.com>
* some logging
Signed-off-by: raver119 <raver119@gmail.com>
* some logging
Signed-off-by: raver119 <raver119@gmail.com>
* dynamicPartition fix
Signed-off-by: raver119 <raver119@gmail.com>
* get rid of some logging
Signed-off-by: raver119 <raver119@gmail.com>
* one more test for dynamic_stitch
Signed-off-by: raver119 <raver119@gmail.com>
* one more test for dynamic_stitch
Signed-off-by: raver119 <raver119@gmail.com>
* empty check for stitch
Signed-off-by: raver119 <raver119@gmail.com>
* minor print changes
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* - one more noop empty test
- one more validation before sync
Signed-off-by: raver119 <raver119@gmail.com>
* typo
Signed-off-by: raver119 <raver119@gmail.com>
* one more validation fix
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA empty reductions java side
Signed-off-by: raver119 <raver119@gmail.com>
* one svd test
Signed-off-by: raver119 <raver119@gmail.com>
* Corrected segment_mean helpers and added another test.
* Refactored segment_mean kernels to avoid race_condition.
Shams Ul Azeem
raver119
Alex Black
Yurii Shyrma
Andrii T
Samuel Audet
Fariz Rahman
shugeo
Alexander Stoyakin
Robert Altena
Oleh
Susan Eraly
longzhendong
Steven Lang
Ryan Nett
Serhii Shepel
Yurii Shyrma