Commit Graph

619 Commits (99cfb8893369a35d3e33c6774fe19b6793d9497b)

Author SHA1 Message Date
raver119 99cfb88933 two tests fixes
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2020-01-24 15:26:46 +03:00
raver119 5d69069177
[WIP] Memory limits (#167)
* initial commit

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* one more initial commit

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* additional initial commit

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* subsequent initial commit

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* initial commit testing

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* initial commit per device

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* initial commit per group

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* initial commit for cuda

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* initial commit for cuda + few missed lines

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* initial commit for cuda + missed includes

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* initial commit for cuda + one more missed include

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* initial commit shouldn't count host mem as dev0 in cuda

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* initial commit that tracks HOST group limits for CUDA

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* initial commit with some Environment changes

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* initial commit with more Environment changes

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* initial commit with maxMasterThreads fix

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* initial commit with maxMasterThreads fix

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* initial commit without maxMasterThreads exception

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* initial commit without Nd4jULong in Environment

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* add sleep and more iterations for OOM cases

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* limits propagation from java side

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* - consume ErrorCode every time
- one test for memory limits

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* unordered_map

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* unordered_map

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* unordered_map

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* RSub op mapping fixed

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* typo fixed

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* one bad test fixed

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2020-01-24 10:11:09 +03:00
Robert Altena 0caf50f80f SDLoss cleanup. (#180)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2020-01-23 22:22:06 +11:00
raver119 256c9d20b0
alloc check for RNG (#179)
* 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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2020-01-23 09:51:02 +03:00
raver119 25db3a44f1
[WIP] few fixes for tests (#177)
* 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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2020-01-22 16:12:30 +03:00
Alex Black a25bb6a11c
Unit/integration test split + test speedup (#166)
* 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

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-01-22 22:27:01 +11:00
shugeo 2717b25931 Shugeo qr (#153)
* 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.

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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.

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* 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>
2020-01-22 13:59:36 +03:00
shugeo 815a2908af Shugeo solve triangular (#173)
* 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.

Signed-off-by: shugeo <sgazeos@gmail.com>

* 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>
2020-01-22 10:48:03 +03:00
shugeo e50b285c2c Shugeo resize area (#162)
* 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.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a set of tests for resize_area op.

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* Cuda implementation for resize_area. Initial approach.

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* 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.

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.

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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.

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.

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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.

Signed-off-by: shugeo <sgazeos@gmail.com>

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-22 10:46:33 +03:00
raver119 7783012f39
cuDNN integration (#150)
* 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

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

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* - 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

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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

Signed-off-by: Yurii <iuriish@yahoo.com>

* - 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>
2020-01-20 21:32:46 +03:00
Oleh 8fc0e63ce7 Oleh powderev (#171)
* 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>
2020-01-20 12:59:12 +03:00
shugeo 6943a5f57a Shugeo lgamma (#170)
* lgamma op. Initial version.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored lgamma op and test.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Lgamma wrapper

* Added TF mapping

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-20 12:29:36 +03:00
Yurii Shyrma cae5ef4180 Shyrma depthconv (#156)
* - 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>
2020-01-11 07:36:40 +03:00
Yurii Shyrma bbf88b53dd - fix wrong calculation of elements offsets in batchnorm op when input arrays have unusual (#169)
Signed-off-by: Yurii <iuriish@yahoo.com>
2020-01-11 00:14:20 +03:00
Alex Black c84307a6fe
Small SameDiff execution fix (#168)
* 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>
2020-01-08 23:57:23 +11:00
Oleh 2404be5fe0 Oleh multinomial (#163)
* 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>
2020-01-06 22:35:05 +03:00
raver119@gmail.com bb86bbc255 few tests tweaked
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-01-06 15:55:16 +03:00
raver119 d9ef5e2467
Minor fixes (#165)
* ios-arm excluded

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* histogram single threaded

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2020-01-04 15:27:16 +03:00
raver119 29e8e09db6
String changes (#3)
* initial commit

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* next step

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* few more tests files

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* comment

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* string sparse_to_dense version

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* CUDA DataBuffer expand

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* few tweaks for CUDA build

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* shape fn for string_split

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* one more comment

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* string_split indices

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* next step

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* test passes

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* DataBuffer setters for bufers

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* couple of wrappers

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* one special test

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* redundant call

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* print_variable op

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* - view handling (but wrong one)
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* one more test

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* - empty arrays handling

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* - deserialization works now

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* minor fix

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* meh

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* one more fix

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* initial cuda commit

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* print_variable message validation

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* CUDA views

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* minor update to match master changes

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* meh

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* - print_variable now allows print from device

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* InteropDataBuffer data type fix

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* ...

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* disable some debug messages

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* master pulled in

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* java side

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* two failing tests

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* two failing tests pass

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* now we pass DataBuffer to legacy ops too

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* Native DataBuffer for legacy ops, Java side

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* CPU java side update

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* CUDA java side update

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* java bindings update

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* tick device in NativeOps

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* Corrected usage of OpaqueBuffer for tests.

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* NativeOpsTests fixes.

* print_variable now returns scalar

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* one more test

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* compat_string_split fix for CUDA

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* - CUDA execScalar fix
- CUDA lazyAllocateHostPointer now checks java indexer/pointer instead of native pointer

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* legacy ops DataBuffer migration prototype

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* ignore device shapeinfo coming from java

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* minor fix

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* minor transformAny fix

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* minor tweak for lazy host allocation

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* - DataBuffer::memcpy method
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* - IndexReduce CUDA dimension buffer fix

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* views for CPU and CUDA

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* less spam

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* optional memory init

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* async memset

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* - SummaryStats CUDA fix
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* - reduce3All fix
switch to CUDA 10 temporarily

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* CUDA version

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* proper memory deallocator registration

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* HOST_ONLY workspace allocation

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* temp commit

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* few conflicts resolved

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* few minor fixes

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* one more minor fix

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* NDArray permute should operate on JVM primitives

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* - create InteropDataBuffer for shapes as well
- update pointers after view creation in Java

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* - addressPointer temporary moved to C++

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* CUDA: don't account offset twice

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* CUDA: DataBuffer pointer constructor updated

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* CUDA NDArray.unsafeDuplication() simplified

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* CUDA minor workspace-related fixes

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* CPU DataBuffer.reallocate()

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* print_affinity op

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* print_affinity java side

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* CUDA more tweaks for data locality

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* - compat_string_split tweak
- CudaUtf8Buffer update

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* INDArray.close() mechanic restored

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* one more test fixed

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* - CUDA DataBuffer.reallocate() updated
- cudaMemcpy (synchronous) restored

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* one last fix

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* bad import removed

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* another small fix

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* one special test

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* fix bad databuffer size

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* release primaryBuffer on replace

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* higher timeout

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* disable timeouts

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* dbCreateView now validates offset and length of a view

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* additional validation for dbExpand

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* restore timeout back again

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* smaller distribution for rng test to prevent timeouts

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* CUDA DataBuffer::memcpy now copies to device all the time

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* OpaqueDataBuffer now contains all required methods for interop

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* some javadoc

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* GC on failed allocations

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* minoe memcpu tweak

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* one more bitcast test

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* - NDArray::deviceId() propagation
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* DataBuffer additional syncStream

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* DataBuffer additional syncStream

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* one ignored test

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* skip host alloc for empty arrays

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* ByteBuffer support is back

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* DataBuffer::memcpy minor fix

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* few minor prelu/bp tweaks

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* nullify-related fixes

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* PReLU fixes (#157)

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* Build fixed

* Fix tests

* one more ByteBuffer signature restored

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* nd4j-jdbc-hsql profiles fix

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* nd4j-jdbc-hsql profiles fix

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* PReLU weight init fix

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* Small PReLU fix

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* - INDArray.migrate() reactivated
- DataBuffer::setDeviceId(...) added
- InteropDataBuffer Z syncToDevice added for views

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* missed file

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* Small tweak

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* cuda 10.2

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* minor fix

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Co-authored-by: shugeo <sgazeos@gmail.com>
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2020-01-04 13:27:50 +03:00
raver119 451d9d57fd
shape function override (#161)
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2020-01-04 09:06:44 +03:00
Robert Altena 53d3bd1269 shallow delete of assign from SDBase. (#164)
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2020-01-04 15:26:39 +11:00
Alex Black 29104083cc
Various fixes (#143)
* #8568 ArrayUtil optimization

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* #6171 Keras ReLU and ELU support

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* Keras softmax layer import

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* #8549 Webjars dependency management

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* Fix for TF import names ':0' suffix issue / NPE

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* BiasAdd: fix default data format for TF import

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* Update zoo test ignores

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* #8509 SameDiff Listener API - provide frame + iteration

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* #8520 ND4J Environment

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* Deconv3d

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* Deconv3d fixes + gradient check

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* Conv3d fixes + deconv3d DType test

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* Fix issue with deconv3d gradinet check weight init

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* #8579 Fix BaseCudaDataBuffer constructor fix for UINT16

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* DataType.isNumerical() returns false for BOOL type

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* #8504 Reduce Spark log spam for tests

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* Clean up DL4J gradient check test spam

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* More Gradient check spam reduction

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* SameDiff test spam reduction

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* Fixes for FlatBuffers mapping

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* SameDiff log spam cleanup

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* Tests should extend BaseNd4jTest

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* Remove debug line in c++ op

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* ND4J test spam cleanup

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* DL4J test spam reduction

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* More Dl4J and datavec test spam cleanup

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* Fix for bad conv3d test

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* Additional test

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* Embedding layers: don't inherit global default activation function

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* Trigger CI

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* Consolidate all BaseDL4JTest classes to single class used everywhere; make timeout configurable per class

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* Test fixes and timeout increases

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* Timeouts and PReLU fixes

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* Restore libnd4j build threads arg for CUDA build

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* Increase timeouts on a few tests to avoid spurious failures on some CI machines

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* More timeout fixes

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* More test timeout fixes

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* Tweak timeout for one more test

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* Final tweaks

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* One more ignore

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2020-01-04 13:45:07 +11:00
raver119 ac0d249f07
build fix for clang (#159)
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2020-01-03 15:17:06 +03:00
shugeo fbf7c9d38b Fixed lu for cuda platform and tests. (#158)
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2020-01-02 23:25:41 +03:00
Susan Eraly c32acb2ec7 fix if dir does not exist (#129)
* fix if dir does not exist

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* added simple test

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2019-12-30 19:48:57 -05:00
Alexander Stoyakin 010744ef9c Lu wrapper and tests fixes (#144)
* Tests fixed

* Lu added

* Test fixed

* Default timeout

* Tests timeouts fixed.

* TF import fix

* Timeouts added

* Timeout fixed.

* Test corrected

* rgb and yiq conversion ops added

* Converter ops added

* Header

* Yuv converters

* API added

* Empty test for matmul

* Explanation

* skip gemm/gemv on empty inputs

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* Test added

* Correct test

* one more empty pass-through for mmul

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* Cleanup

* Test added

* Test fixed

* Added missing mapping

* Added missing mapping

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2019-12-30 15:06:12 +03:00
raver119 9b329d2601
[WIP] bias_add NHWC loop (#149)
* one more test

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* one more test

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* one more test

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* bias_add nhwc 4D

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* bias_add nhwc 4D

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* bias_add nhwc 4D

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* bias_add nhwc 4D

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* disable test

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2019-12-24 20:56:49 +03:00
raver119 fc760de348 RgbToYuv & YuvToRgb skip empty arrays
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2019-12-24 18:45:54 +03:00
Oleh 75123b0a4c [WIP] Oleh rgb yuv (#147)
* libnd4j: RgbToYuv and YuvToRgb, both implementations for both cpu and cuda. Need adding tests and review

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* libnd4j: RgbToYuv and YuvToRgb, replace coords method on Tad in both cpu and cuda, add tests, fixed bugs

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* libnd4j: RgbToYuv and YuvToRgb minor corrections

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* libnd4j: RgbToYuv and YuvToRgb corrections to use operations in-place
2019-12-24 18:30:54 +03:00
raver119 d1e5e79c10
[WIP] CUDA concat tweak (#148)
* one special test

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* one special test

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* local memory for concat

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* fixed grid size for concat

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* fixed grid size for concat

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* test commented out

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2019-12-24 17:01:03 +03:00
Abdelrauf 39d43ca170 RgbToYiq and YiqToRgb operations (#142)
* RgbToYiq and YiqToRgb

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* CUDA impl for RgbToYiq and YiqToRgb

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* remove print

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* allow inplace for hsv,rgb,yiq ops

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2019-12-24 15:20:35 +03:00
raver119 62f93ac211
negative handling for empty arrays (#146)
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2019-12-24 13:23:25 +03:00
Alex Black 1f9e1b6022
SameDiff profiler analysis improvements (#141)
* #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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2019-12-23 15:24:20 +11:00
Alex Black ce02b6fae7
Small fixes (#140)
* 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

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-12-21 17:00:46 +11:00
raver119 495256c827
minor build fix (#139)
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-21 08:07:13 +03:00
Yurii Shyrma 5d9b2a16e5 Shyrma temp (#131)
* - 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

Signed-off-by: raver119 <raver119@gmail.com>

* - 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>
2019-12-20 22:35:39 +03:00
raver119 3e0afadea1 minor build fix
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-20 21:11:18 +03:00
Oleh 211c0df76f Oleh rgb to gray scale (#138)
* 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>
2019-12-20 20:59:29 +03:00
shugeo 67d8199165 [WIP] Shugeo lup (#126)
* 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>
2019-12-20 17:56:28 +03:00
Alexander Stoyakin 6d8a063c9b nd4j-tests cleanup (#137)
* Fixed tests

* Invalid test removed
2019-12-20 16:38:33 +03:00
Abdelrauf 3c9a2a5cd9 Fix for hsv and rgb ranges (#136)
Signed-off-by: Abdelrauf <rauf@konduit.ai>
2019-12-20 08:48:30 +03:00
raver119 43e118de1e maxThreads -> maxMasterThreads
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-19 18:41:27 +03:00
raver119 8b877a8ddf
- 3d loops parallelism fix (#135)
- additional check for maxMasterThreads <= maxThreads

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-19 16:50:08 +03:00
Alex Black 3d8f6d50a1
SameDiff profiler / tracing and profile analysis/comparison (#133)
* 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>
2019-12-19 23:43:58 +11:00
shugeo e303c06042 Shugeo pad fix3 (#132)
* 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>
2019-12-19 13:14:02 +03:00
shugeo de3c0afdce Shugeo bicubic fix3 (#130)
* 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>
2019-12-19 13:12:35 +03:00
shugeo fc7c6d4e82 Shugeo roll fix3 (#127)
* Added tests for roll with scalar shift and axis.

* Fixed problem with roll on 1D input with scalar axis and test.

* Only cosmetic changes.
2019-12-19 13:10:06 +03:00
Alexander Stoyakin f5068f3980 Added missing Java ops wrappers (#122)
* 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.
2019-12-19 20:15:48 +11:00
Abdelrauf e0a9cb6c08 [WIP] HSV,RGB color model conversions (#125)
* CUDA implementation for hsv_to_rgb and rgb_to_hsv

Signed-off-by: raver119 <raver119@gmail.com>

* hsv_to_rgb and rgb_to_hsv operations
Test coverage: c order 1d, 2d, 3d array

Signed-off-by: Abdelrauf <rauf@konduit.ai>

* Index check

Signed-off-by: Abdelrauf <rauf@konduit.ai>

* Suppress Msvc floating point errors

Signed-off-by: Abdelrauf <rauf@konduit.ai>

* Added Index Check for adjust_saturation and adjust_hue

Signed-off-by: Abdelrauf <rauf@konduit.ai>

* minor fix

Signed-off-by: raver119 <raver119@gmail.com>

* Fixes missed Msvc floating narrowing errors

Signed-off-by: Abdelrauf <rauf@konduit.ai>
2019-12-17 09:42:09 +03:00
Alex Black bfd9e3692a
Add op counting to TensorFlowImportValidator (#128)
* Add op counting to TensorFlowImportValidator

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Test tweak

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-12-17 10:23:37 +11:00