Commit Graph

70 Commits (63c9223bc2d95e3311e7f551aac829abf3693875)

Author SHA1 Message Date
Oleh e8cbf5255a
Backpropagation implementation of mergemax, mergeadd and mergeavg ops (#343)
* libnd4j: first step of merge_max implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections for mergeMaxBp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some minor corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j test added for mergemax_bp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several problems tests added, check with gradCheck

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j remove duplicated tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j split implementation of transforms ops into separate file implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j code clean up, added mergeavg_bp and mergeadd_bp, need testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master, fixed typos and added tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some minor fixes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added helper for mergeAddBp operation, this permits to skip nullify

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j file renaming changes and cuda some corrections, need some additional corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some additional corrections for merge ops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more corrections per request for cuda more proper usage

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-25 08:40:30 +03:00
Oleh 69c92ca5ae
Learning updaters for gradient (#335)
* libnd4j raw implementation of sgd upader

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections and simple test added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections after discussion

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j integrate applyScalar

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j raw implementation of rmsPropUpdater on cpu

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fix operations declaration

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j rmsPropUpdater added, test cases for sgd, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some fixes and improvements for rmsPropUpdater based on Java tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed cuda implementation, update tests and corrected behavior according java tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j adaGrad updater added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one minor fix for ada grad

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several more fixes for ada_grad

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j nesterovs updater added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed nesterovs updater behavior, several typos and rename file

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one minor typo

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j ada max updater added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos in adaMax updater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos in adaMaxUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several fixes for adaMax, added Adam Updater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j adaDeltaUpdater added, minor fixes for adamUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several fixes for adaDeltaUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j nadamUpdater added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one more correction for nadam updater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several fixes for nadam updater and added amsGradUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several typos fixed in amsGradUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections and added f order support rmsProp updater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added support of f order for all updaters and modify tests for testing in place

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed issues for updates when not in place mode used, added tests for f order

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added input shape checks

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections for different cases handling

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some code clean up and optimize per request

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j updaters refactoring after review

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* SgdUpdater wrapper

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

* first test

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

* RmsPropUpdater added

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

* NadamUpdater + NesterovsUpdater

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

* AmsGradUpdater

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

* AdamUpdater added

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

* AdaGradUpdater + AdaDeltaUpdater + AdaMaxUpdater

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

* AdaGradUpdater test added

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

* libnd4j remove input parameters parsing through NDArray, split implementation of helpers to separate files, added some rename, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j next step to split operations implementation into separate files

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master and minor corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j revert some changes of split implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j forgot to add header file

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* public default constructors

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

* ImportClassMapping updated

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-23 07:28:31 +03:00
raver119 63fa3c2ef3
libnd4j polishing (#273)
* 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

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

* few more rearrangements

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

* few more rearrangements

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

* cuda includes rearrangements

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

* java update

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

* = namespace changed to sd
- few CMake variables renamed with SD_ prefix

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

* java update

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

* LoopKind minor fix

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

* few more changes

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

* few more changes

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

* few more changes

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

* sanitizer is optional now

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

* dev tests updated

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

* few more changes

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

* last update

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

* java update

Signed-off-by: raver119 <raver119@gmail.com>
2020-03-02 12:49:41 +03:00
shugeo 330a69d4e2
Shugeo solve ls (#203)
* lstsq op. Initial commit.

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

* Least squares linear problem solve op (lstsq). Cpu draft implementation.

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

* Fixed shape routine and tests.

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

* Added test for lstsq op.

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

* Rectification for lstsq op implementation.

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

* Corrected test to avoid numerical inconsistensy.

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

* Added prints for check computing.

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

* Corrected tests to use evalueate facility instead.

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

* CPU implementation of MatrixSolveLs op and tests.

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

* Added cuda implementation for helpers with lstsq op.

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

* Refactored tests for lstsq op.

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

* Added processing for empty inputs.

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

* Merged tests.

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

* Refactored lstsq op for fast case.

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

* Fixed test.

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

* Refactored lstsq op.

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

* Fixed some issues with solve.

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

* Fixed lstsq op to avoid erros.

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

* Added kernel for giagonal factor

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

* lstsq wrapper and triangular_solve fixed

* Added proper processing empty inputs and test.

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

* SequenceMask test

* Build fixed

* Added proper processing of empty inputs with solve op.

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

* Mapping added

* Added check of input shapes with solve op.

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

* Added a couple of tests for lstsq op and minor changes with cuda helper for one.'

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

* Tests on

* Refactored test for lstsq op.

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

* Fixed test

* Added another approach for lstsq op aka solve_ls.

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

* Finished cpu part for solve_ls op helpers.

* Added helper for low triangular matrix inversion.

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

* Refactored alternate solve_ls cpu implementation.

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

* Removed alternate approach for solve_ls op. Added multithreading with matrix inversion.

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

* Assert fixed

* Refactored multithreading for inverse matricies.

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

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-02-28 11:37:26 +03:00
raver119 3de3cd8277
R119 tests (#238)
* one small test

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

* one small test

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

* bert test

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

* Graph FlowPath fix

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

* - GraphProfiler tweaks
- NodeProfile now includes shapes

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

* RELU_layer inplace tweak

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

* meh

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

* identity tweaks

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

* bert result validation

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

* - bunch of Shape ops have inplace exec forbidden now
- Legacy ops have inplace exec disabled by default now

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

* ffast-math enabled

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

* ffast-math enabled

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

* allow some legacy ops to be inplace

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

* disable -fast_math

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

* disable expensive test for cuda

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-13 20:59:35 +03:00
Yurii Shyrma fe47f52896
Oleh tenzor mmul (#231)
* 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>
2020-02-13 20:33:54 +03:00
shugeo 41ff907bc6
Shugeo solve linear (#191)
* 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>
2020-02-04 08:59:11 +03:00
raver119 5d98cfcf47
Configurable DataType for ops (#201)
* 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

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

* one more test

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

* - more updates for configurable data types
- ones_as/zeros_as java side + tests

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

* few c++ tests fixed

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

* few more changes around DArgs

Signed-off-by: raver119 <raver119@gmail.com>
2020-01-30 18:46:12 +03:00
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.

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>
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.

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>
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.

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>
2020-01-22 10:46:33 +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
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 29e8e09db6
String changes (#3)
* initial commit

* additional data types & tensor type

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

* next step

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

* missing include

* sparse_to_dense

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

* few more tests files

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

* draft

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

* numeric sparse_to_dense

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

* comment

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

* string sparse_to_dense version

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

* CUDA DataBuffer expand

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

* few tweaks for CUDA build

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

* shape fn for string_split

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

* one more comment

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

* string_split indices

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

* next step

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

* test passes

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

* few rearrangements for databuffer implementations

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

* DataBuffer: move inline methods to common implementations

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

* add native DataBuffer to Nd4j presets

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

* DataBuffer creation

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

* use DataBuffer for allocation

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

* cpu databuffer as deallocatable

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

* DataBuffer setters for bufers

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

* couple of wrappers

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

* DataBuffers being passed around

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

* Bunch of ByteBuffer-related signatures gone

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

* - few more Nd4j signatures removed
- minor fix for bfloat16

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

* nullptr pointer is still a pointer, but 0 as address :)

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

* one special test

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

* empty string array init

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

* one more test in cpp

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

* memcpy instead of databuffer swap

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

* special InteropDataBuffer for front-end languages

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

* few tweaks for java

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

* pointer/indexer actualization

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

* CustomOp returns list for inputArumgents and outputArguments instead of array

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

* redundant call

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

* print_variable op

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

* - view handling (but wrong one)
- print_variable java wrapper

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

* one more test

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

* - empty arrays handling

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

* - deserialization works now

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

* minor fix

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

* meh

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

* one more fix

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

* initial cuda commit

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

* print_variable message validation

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

* CUDA views

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

* CUDA special buffer size

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

* minor update to match master changes

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

* - consider arrays always actual on device for CUDA
- additional PrintVariable constructor
- CudaUtf8Buffer now allocates host buffer by default

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

* meh

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

* - print_variable now allows print from device

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

* InteropDataBuffer data type fix

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

* ...

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

* disable some debug messages

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

* master pulled in

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

* couple of new methods for DataBuffer interop

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

* java side

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

* offsetted constructor

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

* new CUDA deallocator

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

* CUDA backend torn apart

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

* CUDA backend torn apart 2

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

* CUDA backend torn apart 3

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

* - few new tests
- few new methods for DataBuffer management

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

* few more tests + few more tweaks

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

* two failing tests

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

* one more test

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

* two failing tests pass

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

* now we pass DataBuffer to legacy ops too

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

* Native DataBuffer for legacy ops, Java side

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

* CPU java side update

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

* CUDA java side update

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

* no more prepare/register action on java side

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

* NDArray::prepare/register use now accepts vectors

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

* InteropDataBuffer now has few more convenience methods

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

* java bindings update

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

* tick device in NativeOps

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

* Corrected usage of OpaqueBuffer for tests.

* Corrected usage of OpaqueBuffer for java tests.

* NativeOpsTests fixes.

* print_variable now returns scalar

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

* one more test

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

* compat_string_split fix for CUDA

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

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

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

* legacy ops DataBuffer migration prototype

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

* ignore device shapeinfo coming from java

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

* minor fix

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

* minor transformAny fix

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

* minor tweak for lazy host allocation

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

* - DataBuffer::memcpy method
- bitcast now uses memcpy

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

* - IndexReduce CUDA dimension buffer fix

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

* views for CPU and CUDA

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

* less spam

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

* optional memory init

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

* async memset

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

* - SummaryStats CUDA fix
- DataBuffer.sameUnderlyingData() impl
- execBroadcast fix

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

* - reduce3All fix
switch to CUDA 10 temporarily

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

* CUDA version

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

* proper memory deallocator registration

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

* HOST_ONLY workspace allocation

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

* temp commit

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

* few conflicts resolved

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

* few minor fixes

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

* one more minor fix

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

* NDArray permute should operate on JVM primitives

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

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

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

* - addressPointer temporary moved to C++

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

* CUDA: don't account offset twice

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

* CUDA: DataBuffer pointer constructor updated

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

* CUDA NDArray.unsafeDuplication() simplified

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

* CUDA minor workspace-related fixes

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

* CPU DataBuffer.reallocate()

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

* print_affinity op

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

* print_affinity java side

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

* CUDA more tweaks for data locality

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

* - compat_string_split tweak
- CudaUtf8Buffer update

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

* INDArray.close() mechanic restored

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

* one more test fixed

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

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

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

* one last fix

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

* bad import removed

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

* another small fix

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

* one special test

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

* fix bad databuffer size

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

* release primaryBuffer on replace

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

* higher timeout

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

* disable timeouts

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

* dbCreateView now validates offset and length of a view

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

* additional validation for dbExpand

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

* restore timeout back again

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

* smaller distribution for rng test to prevent timeouts

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

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

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

* OpaqueDataBuffer now contains all required methods for interop

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

* some javadoc

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

* GC on failed allocations

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

* minoe memcpu tweak

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

* one more bitcast test

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

* - NDArray::deviceId() propagation
- special multi-threaded test for data locality checks

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

* DataBuffer additional syncStream

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

* DataBuffer additional syncStream

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

* one ignored test

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

* skip host alloc for empty arrays

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

* ByteBuffer support is back

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

* DataBuffer::memcpy minor fix

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

* few minor prelu/bp tweaks

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

* nullify-related fixes

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

* PReLU fixes (#157)

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

* Build fixed

* Fix tests

* one more ByteBuffer signature restored

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

* nd4j-jdbc-hsql profiles fix

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

* nd4j-jdbc-hsql profiles fix

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

* PReLU weight init fix

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

* Small PReLU fix

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

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

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

* missed file

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

* Small tweak

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

* cuda 10.2

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

* minor fix

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

Co-authored-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 13:27:50 +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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: RgbToYuv and YuvToRgb minor corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: RgbToYuv and YuvToRgb corrections to use operations in-place
2019-12-24 18:30:54 +03:00
Abdelrauf 39d43ca170 RgbToYiq and YiqToRgb operations (#142)
* RgbToYiq and YiqToRgb

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

* CUDA impl for RgbToYiq and YiqToRgb

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

* remove print

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

* allow inplace for hsv,rgb,yiq ops

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

Co-authored-by: raver119 <raver119@gmail.com>
2019-12-24 15:20:35 +03:00
raver119 495256c827
minor build fix (#139)
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-21 08:07:13 +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
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
Yurii Shyrma 1f5e15b541 Shyrma adjust (#98)
* - add possibility of passing scalar-array as input parameter for scale factor in adjust hue/contrast/saturation ops
- correct typo in function which calculates regularized incomplete beta integral

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

* - fix bug in betainc cuda kernel

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

* - start working on implementation of digamma function

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

* - further work on digamma function (cpu)

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

* - testing and fixing bugs in digamma op

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

* - make correction n cuda kernel for polyGamma

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

* - remove unnecessary stuff from betaInc cuda kernel

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

* - resolve conflicts in DeclarableOpsTests3.cpp after master branch has been merged

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

* - restore id number of Not opertion in legacy_ops.h

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

* - correct padding calculation in mkl dnn conv1d causal

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

* restore empty check in adjust_contrast_v2

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-03 09:40:45 +03:00
Yurii Shyrma d19eeaec52 Shyrma casual conv1d (#90)
* - add causal mode of padding to convolutions

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

* - add additional tests for causal conv1d

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

* - add causal mode for cuda conv kernels

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

* Java side of Conv1D changes

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

* Add Conv1DDerivative op

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

* Causal Conv1D gradient checks

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

* Tweaks

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

* - add causal padding mode to conv2d_bp

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

* More thorough causal conv1d tests

Signed-off-by: Alex Black <blacka101@gmail.com>
2019-11-29 14:14:30 +03:00
shugeo 009007120b Shugeo_release_fixes3 (#81)
* Implementation for non_max_suppression_v3 was added. Initial version

* Added check for overcome threshold.

* Added definition for V3 method.

* java remapping for NonMaxSuppressionV3

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

* Fixed proporly processing of an empty output and test.

* Refactored op to less threshold data to float.

* Implemented cuda-based helper for non_max_suppression_v3 op.

* Fixed fake_quant_with_min_max_vars op.

* Fixed tests with float numbers.

* - assert now stops execution
- sortByKey/sortByValue now have input validation

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

* missing var

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

* Fixed proper processing for zero max_size inputs.

* Refactored kernel callers.

* Fixed return statement for logdet op helper.

* Refactored unsorted segment SqrtN op.

* get back 8 tail bytes on CUDA

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

* Refactored segment prod ops and helpers for cuda and tests.

* Additional test.

* CudaWorkspace tests updated for 8 tail bytes

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

* special atomic test

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

* atomicMul/atomicDiv fix for 16bit values

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

* Eliminated waste prints.
2019-11-28 21:08:51 +03:00
raver119 83cb0d9329
[WIP] Create and small fix (#67)
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea

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

* Create op and mapping for it

Signed-off-by: raver119 <raver119@gmail.com>
2019-11-21 13:31:20 +03:00
Alex Black da1944e8e1
SameDiff TF import (#49)
* Added implementation files for image_resize and resize_bicubic ops.

* Image resize and image.resize_bicubic ops implementation. Initial revision.

* Minor fix

* Some TF imports disabled.

* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.

* Refactored resize methods.

* Added processing for Mitchelcubic algorithm.

* adjust_contrast

* Small fix for TF import expected value loading when variable name starts with the test name

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

* Tests

* Tests added.

* Removed tf names absent in mapping.

* Some fixes.

* Small fixes

* Minor change

* Some failing tests.

* Disable failed test

* Ignore some tests

* Fix import class mapping

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

* Fix float property mapping (flatbuffers)

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

* Override equality function for model 'dropout'

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

* Fail tests

* Failed tests ignored temporarily.

* Minor fixes

* Small fix

* Conflict resolved

* Default implementations of tensorflowName and onnxName
2019-11-19 22:44:29 +11:00
raver119 1780dcc883
[WIP] Small fixes here and there (#50)
* one range test

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

* few Context convenience singatures

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

* one more range test

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

* "range" "fix"

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

* adjuct_contrast_v2 now allows scale factor to be provided via input_variable

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

* adjust_contrast now allows scale factor as variable too

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

* bitcast shape tests

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

* BitCast import dtype added

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

* few more BitCast signatures

Signed-off-by: raver119 <raver119@gmail.com>
2019-11-15 17:04:29 +03:00
Alex Black 47d19908f4
Various fixes (#43)
* #8172 Enable DL4J MKLDNN batch norm backward pass

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

* #8382 INDArray.toString() rank 1 brackets / ambiguity fix

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

* #8308 Fix handful of broken links (inc. some in errors)

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

* Unused dependencies, round 1

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

* Unused dependencies, round 2

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

* Unused dependencies, round 3

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

* Small fix

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

* Uniform distribution TF import fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-14 19:38:20 +11:00
shugeo 08853c7829
Shugeo random uniform int (#30)
* Corrected randomuniform declaration.

* Refactored uniform distribution for both cuda and cpu platforms.

* Refactored uniform distribution and tests.

* Fixed type usage with indices.

* Refactored uniform distribution implementation and tests to full conform with TF implementation.

* Refactored gamma function to use type util method.

* Copyright changes and fixes with ConstantHelper.

* Added error checking on allocate cuda device memory and operations.
2019-11-06 12:49:27 +02:00
shugeo 7b14a9f603
Gamma and Poisson distributions (#27)
* Added implementation for random_gamma op.

* Added implementation for random_poisson op and support classes.

* Added helpers for random_poisson and random_gamma ops.

* Implementation of random_poisson. The first working edition.

* Implementation of random_poisson. Parallelized working edition.

* Implementation of random_gamma. Parallelized working edition with alpha only.

* Added cuda implementation for helper of poisson distribution.

* Corrected shape calculation with random_gamma and tests.

* Finished cpu implementation for gamma distribution.

* Finished cuda implementation for random_gamma op.

* Refactored cpu helpers for random_gamma and random_poisson ops.

* Refactored cuda helpers for gamma and poisson distribution.

* Refactored cuda helper for gamma distribution.

* Refactored cpu helper for random_poisson op.

* Refactored cpu helper for random_gamma op.
2019-11-04 15:42:28 +02:00
Yurii Shyrma 0cdb5750e0
Shyrma concat (#24)
* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case

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

* - write code for deconv2d op based on mkl dnn api

* no unsafe math

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

* no unsafe math

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

* - get rid of e<> and p<> methods in svd helper

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

* - provide mkl api support for deconvolution 3d

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

* - write deconv2d_bp based on mkl api

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

* - write deconv3d_bp based on mkl api

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

* - testing and fixing deconv based on mkl api

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

* - remove dilation form conv2d/3d mkl

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

* - minor changes

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

* - further corrections of deconv ops based on mkl dnn api

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

* - provide deconv2d_tf based on mkl dnn api

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

* - add minor corrections required by reviewer

Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-03 12:37:19 +02:00
shugeo 95f7ad7b94
Shugeo suppression overlaps (#9)
* Added non_max_suppression_overlaps op and tests.

* Refactored implementation of non_max_suppression_overlaps.

* Refactoring of implementation of non_max_suppression_overlaps op.

* Refactoring of implementation of non_max_suppression op.

* Fixed portion error.

* Added cuda frontends for image suppression ops.

* Eliminated crash with cuda arch on image.non_max_suppression_overlaps op.

* Improved implementation of image_suppression helper for cpu platform.

* The generic approach of non_max_suppression_overlaps op helper with cuda platform.

* Working cuda implementation of helper non_max_suppression_overlaps op.

* Eliminated waste comments.

* Improved implementations for both platforms

* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.

* Improved cuda implementation of non_max_suppression op helper.

* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.

* Improved cuda implementation of image.non_max_suppression_overlaps op helper.

* Added modifications into cuda implementation for image suppression overlaps op.

* Correct queue emulation with cuda implementation of non_max_suppression_overlaps op.

* Prefinal stage of cuda implementation of non_max_suppression_overlaps.

* Worked cuda implementation of non_max_suppresion_overlaps helper.

* Fixed return to proper thread.

* Improvements for cuda implementation of image.non_max_suppression_overlaps op helper.

* Fixed implementation issues with non_max_suppression_overlaps on cuda platform.

* Fixed skip for non_max_suppression_overlaps on cuda platform.

* Finalize implementation of image_suppression helper and tests.

* Cosmetic changes only.
2019-10-30 13:43:45 +02:00
Yurii Shyrma 029a69a835
Shyrma bn mkl bp (#14)
* - write code for new batchnorm backprop

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

* - testing batchnorm backprop

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

* - write code for batchnorm backprop based on mkl dnn api

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

* - testing and fixing bugs in batchnorm_bp mkl dnn

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

* - made corrections required by reviewer

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

* - change name in java wrapper for batchnorm op

Signed-off-by: Yurii <iuriish@yahoo.com>
2019-10-26 14:14:21 +03:00
Alexander Stoyakin f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019
KDTree optimization
2019-10-23 12:11:25 +03:00
Yurii 99be467f76 - minor change in recurrent.h
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-10-17 20:46:51 +03:00
Yurii 70bd925abd - write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api 2019-10-17 20:44:52 +03:00
shugeo 7617682a46 Added declarations for igamma and igammac ops. 2019-10-16 14:45:10 +03:00
shugeo a09cb5e2be Added doc for fake_quant_with_min_max_per_channel op declaration. 2019-10-10 17:13:33 +03:00
shugeo cb56b0b06a The first approach for fake_quant_with_min_max_vars_per_channel op implementation. 2019-10-08 19:00:41 +03:00
shugeo 8f70b4441f draw_bounding_boxes op implementation. Inital revision. 2019-10-04 18:32:21 +03:00
shugeo 908e4c4912 Added implementation for divide_no_nan op and tests. 2019-10-04 10:29:15 +03:00
raver119 cff26f13c5
Revert "Implement divide_no_nan op." 2019-10-03 20:25:52 +03:00
shugeo 6eaca179d6 Implement divide_no_nan op. 2019-10-03 18:22:17 +03:00
shugeo 130ee25682 Implemented compare_and_bitpack op. 2019-10-03 10:57:48 +03:00
shugeo a27e61553a Added tests and fixed op name. 2019-10-02 15:04:28 +03:00
shugeo 863ff76878 Added declaration for bincast op. 2019-10-02 12:17:00 +03:00
shugeo 1575c704ae Added implementation for adjust_contrast_v2 op and tests. 2019-10-01 11:44:27 +03:00
shugeo e06dfb5dcc Implementation of adjust_contrast op. 2019-09-30 18:24:12 +03:00
raver119 589401477d
[WIP] bunch of improvements (#257)
* - profiling bias_add op
- add some docementation

Signed-off-by: Yurii <yurii@skymind.io>

* - minor change

Signed-off-by: Yurii <yurii@skymind.io>

* - provide addBias cuda kernel

Signed-off-by: Yurii <yurii@skymind.io>

* - improve shape::getIndexOfffset and change its signature

Signed-off-by: Yurii <yurii@skymind.io>

* - same as previous

Signed-off-by: Yurii <yurii@skymind.io>

* - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements

Signed-off-by: Yurii <yurii@skymind.io>

* - minor changes in flatten

Signed-off-by: Yurii <shyrma@skymind.io>

* - add function shape::getIndexOffsetOrdered

Signed-off-by: Yurii <shyrma@skymind.io>

* - correct shape::getIndexOffsetOrdered()

Signed-off-by: Yurii <shyrma@skymind.io>

* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function

Signed-off-by: Yurii <shyrma@skymind.io>
2019-09-11 20:12:09 +03:00
shugeo 548044a1e2 Shugeo doc (#235)
* Actualized doc to tnse ops.

* Added comments for dynamic_stitch op.

* Added comments to dynamic_stitch op implementation.

* Modified comment for unstack_list op.

* Added doc for space_to_depth and depth_to_space ops.

* Added doc for space_to_batch op.

* Enlarge test type for adjustSaturation.

* Added doc for runner.
2019-09-04 14:57:59 +03:00