Commit Graph

32 Commits (6dc7e2f08f1222d4384a5bc320f554fc3f3ef405)

Author SHA1 Message Date
shugeo 2aed216c2a
Eliminated error with resize implementation. (#418)
* Eliminated error with resize implementation.

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

* Refactored resize caller implementation.

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

* Refactored image.resize op helper.

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

* Added dumb implementations for missed resize methods.

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

* Added resize_images op. Refactored image_resize op.

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

* Refactored matrix_band_part op and test.

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

* Refactored resize_images op to comply with preserve_aspect_ratio flag properly.

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

* Refactored resize_images and tests for resizeArea method.

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

* Refactored resize methods and test.

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

* Added new methods for TF2 resize op.

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

* Portion of resize algorithms from TF2

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

* Added routine to process resize with given algorithm.

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

* Added new image resize via scale and translate process helper.

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

* Cpu implementation for V2 image resize operation helpers.

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

* Added implementation for lancos5 algorithm of resize and test.

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

* Added prints for span computing.

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

* The first working implementation and tests for lancos5 resize.

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

* Eliminated waste prints.

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

* Refactored image_resize op and tests."

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

* Lanczos3 resize implementation and tests.

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

* Implemented bicubic resize algorithm and tests.

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

* Added a couple of tests and cosmetic changes with image resize helper.

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

* Added bilinear implementation for image resize.

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

* Refactored bicubic algorithm and also implement area and neighbor algoritms for image resize on cpu arch.

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

* Added a couple of tests for nearest neighbor and area resize.

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

* Cosmetic changes for cpu implementation and added cuda implementation for resize methods.

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

* Separated cuda implementation of v2 image resize.

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

* Added kernels for span calculation and span gathering with new image resize cuda implementation.

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

* Refactored cuda implementation of image resize kernels.

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

* Finished the first working implementation of image resize op and tests.

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

* Fixed resize_images and image_resize ops.

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

* Refactored shape construction and output validation.

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

* Fixed test to properly initalized with float.

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

* Added 3D input opotunity for resize ops.

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

* Fixed test for resize_images op.

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

* Fixed test and call for resize_images op.

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

* Refactored image_resize op output data type handling for nearest neighbors method and tests.

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

* Fixed issue with wrong resize method.

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

* Added checkup for wrong resize methods for resize ops.

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

* Refactored resize methods and test.

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

* Added output data type validation for given resize method.

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

* - ResizeMethod rearranged in order to match C++ side
- minor test fix

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

* Refactored resize_images op.

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

Co-authored-by: raver119@gmail.com <raver119@gmail.com>
2020-05-27 21:15:03 +03:00
Abdelrauf 69d91e272a
- new implementations for Index Reductions (#421)
* - new implementations for Index Reductions
- small fix in the legacy reduction
- disabled index reduction bench tests inside Playground

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

* Allow LIBND4J_TYPES

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

* index reduction stuff split into bunch of units

* meh

* IMax switched to new impl

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

* minor fix + test

* minor fix

* index range fix

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

* noop on empty outputs

* minor fix

* minor fix

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

* ArgMax replaces IMax

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

* argmax/argmin/argamax/argamin shape functions updated

* ArgAmax/ArgAmin/ArgMin replaces IAMax/IAMin/IMin

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

* argmax/argmin/argamax/argamin CUDA

* IMax replaced in dl4j

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

* Codegen output

* imports fixed

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

* fix compilation issue

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

* Auto-generate compilation units

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

* Should fix NDArray refactored function calls in indexReductions.cu

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

Co-authored-by: raver119@gmail.com <raver119@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-05-14 13:41:55 +03:00
Oleh 3d15706ffa
Lin_space operation improve (#373)
* libnd4j update linspace op

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

* libnd4j #8513 update lin_space op, tests added

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

* - minor linspace tweaks (num_elements now iArg)
- java linspace updates
- couple of additional tests for linspace

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

* roll back timeout change

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-04-16 14:53:56 +03:00
Oleh 1d004b542a
xw_plus_b mkldnn implementation (#247)
* libnd4j first step of mkldnn for xw_plus_b and test of aurora crash in imageHelper

* libnd4j sync folders with master

* libnd4j merge master, raw implementation of xw_plus_b on mkldnn, clean up, need testing and adding checks for corresponded input shapes

* libnd4j corrections and checks added to xw_plus_b mkl

* libnd4j corrected dataType description based on mkl operation description, need more investigation

* libnd4j fixe xw_blus_b mkl implementation, need testing

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

* libnd4j two unit tests added

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

* libnd4j fixed check input dimensions bug

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

* libndj4 one more test added to cover different order handling

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

* libnd4j added optional int arg support to define weights format, if arg == 1, mkldnn (do not need transpose in mkldnn implementation), else mmul weights format, corrected check points, added unit test

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

* libnd4j merge master

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

* libnd4j some improvements to avoid NDArray transpose in xw_plus_b operation

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

* libnd4j fixed issues connected with weights rank, also added support of one case based on tf (for mkldnn, cpu, cuda), test case added

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

* libnd4j added proper handling of empty inputs (all implementations)

* libnd4j fixed compilation error

* libnd4j several more corrections after conflict solve and fixed typos

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

* libnd4j removed unsupported data types

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

* libnd4j merge master and fixed issues

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

* libnd4j added propagation implementation for xw_plus_b, fixed issue connected with mkl weights data format, avoided data copy in transpose mode, test cases added, manually tested with gradCheck

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

* libnd4j one minor fix of double operation declaration

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

* libnd4j code clean up

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

* libnd4j minor tests fixes

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

* libnd4j fixed build problem, integrate helpers changes

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-31 13:03:10 +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

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* sanitizer is optional now

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* 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
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
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
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
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

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* - further work on digamma function (cpu)

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* - testing and fixing bugs in digamma op

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* - make correction n cuda kernel for polyGamma

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* - remove unnecessary stuff from betaInc cuda kernel

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

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

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* - correct padding calculation in mkl dnn conv1d causal

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* restore empty check in adjust_contrast_v2

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-03 09:40:45 +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

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* missing var

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

* Fixed proper processing for zero max_size inputs.

* Refactored kernel callers.

* Fixed return statement for logdet op helper.

* Refactored unsorted segment SqrtN op.

* get back 8 tail bytes on CUDA

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

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

* Additional test.

* CudaWorkspace tests updated for 8 tail bytes

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* special atomic test

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* atomicMul/atomicDiv fix for 16bit values

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* Eliminated waste prints.
2019-11-28 21:08:51 +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

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* few Context convenience singatures

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* one more range test

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* "range" "fix"

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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable

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* adjust_contrast now allows scale factor as variable too

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* bitcast shape tests

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* BitCast import dtype added

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* few more BitCast signatures

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2019-11-15 17:04:29 +03:00
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
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 130ee25682 Implemented compare_and_bitpack op. 2019-10-03 10:57:48 +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
Yurii Shyrma cb4c9377b1 Shyrma docs (#222)
* - documenting and profiling matrix_set_diag cuda kernel

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

* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag

Signed-off-by: Yurii <yurii@skymind.io>
2019-09-02 16:25:58 +03:00
raver119 eea3062ccf
[WIP] stb/bts nd (#144)
* - start working on space_to_batch_nd

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

* - provide cpu helper for space_to_batch_nd op

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

* few typos fixed

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

* - add tests for space_to_batch and correct bugs

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

* - write cuda kernel for space_to_batch op

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

* - add order argument to shape::index2coords method in convolution cuda ops

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

* - restore some previous code

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

* old col2im kernel activated

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

* - change coords calculation in col2im kernel

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

* - restore old col2im kernel

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

* - add custom op for batch_to_space

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

* - provide cpu version for batch_to_space_nd op

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

* - provide cuda kernel for batch_to_space_nd op

Signed-off-by: Yurii <yurii@skymind.io>
2019-08-21 21:11:46 +03:00
raver119 3c4e959e21 [WIP] More of CUDA (#95)
* initial commit

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

* Implementation of hashcode cuda helper. Working edition.

* Fixed parallel test input arangements.

* Fixed tests for hashcode op.

* Fixed shape calculation for image:crop_and_resize op and test.

* NativeOps tests. Initial test suite.

* Added tests for indexReduce methods.

* Added test on execBroadcast with NDArray as dimensions.

* Added test on execBroadcastBool with NDArray as dimensions.

* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.

* Added tests for execReduce with scalar results.

* Added reduce tests for non-empty dims array.

* Added tests for reduce3.

* Added tests for execScalar.

* Added tests for execSummaryStats.

* - provide cpu/cuda code for batch_to_space
- testing it

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

* - remove old test for batch_to_space (had wrong format and numbers were not checked)

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

* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

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

* Added test for concat.

* comment unnecessary stuff in s_t_b

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

* Added test for specialConcat.

* Added tests for memcpy/set routines.

* Fixed pullRow cuda test.

* Added pullRow test.

* Added average test.

* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)

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

* - debugging and fixing cuda tests in JavaInteropTests file

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

* - correct some tests

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

* Added test for shuffle.

* Fixed ops declarations.

* Restored omp and added shuffle test.

* Added convertTypes test.

* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.

* Added sort tests.

* Added tests for execCustomOp.

* - further debuging and fixing tests terminated with crash

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

* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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

* Added tests for apply_sgd op. Added cpu helper for that op.

* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.

* Added test for assign broadcastable.

* Added tests for assign_bp op.

* Added tests for axpy op.

* - assign/execScalar/execTransformAny signature change
- minor test fix

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

* Fixed axpy op.

* meh

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

* - fix tests for nativeOps::concat

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

* sequential transform/scalar

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* allow nested parallelism

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* assign_bp leak fix

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* block setRNG fix

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

* enable parallelism by default

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* enable nested parallelism by default

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* Added cuda implementation for row_count helper.

* Added implementation for tnse gains op helper.

* - take into account possible situations when input arrays are empty in reduce_ cuda stuff

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

* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.

* Added kernel for tsne/symmetrized op heleper.

* Implementation of tsne/symmetrized op cuda helper. Working edition.

* Eliminated waste printfs.

* Added test for broadcastgradientargs op.

* host-only fallback for empty reduce float

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

* - some tests fixes

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

* - correct the rest of reduce_ stuff

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

* - further correction of reduce_ stuff

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

* Added test for Cbow op. Also added cuda implementation for cbow helpers.

* - improve code of stack operation for scalar case

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

* - provide cuda kernel for gatherND operation

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

* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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

* minor tests tweaks

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* - further correction of cuda stuff

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

* Implementatation of cbow op helper with cuda kernels. Working edition.

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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

* Added tests for ELU and ELU_BP ops.

* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.

* Added tests for neq_scalar.

* Added test for noop.

* - further work on clipbynorm_bp

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

* - get rid of concat op call, use instead direct concat helper call

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* lstmBlockCell context fix

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

* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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

* operator * result shape fix

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* - correct typo in lstmCell

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* few tests fixed

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* CUDA inverse broadcast bool fix

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* disable MMAP test for CUDA

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* BooleanOp syncToDevice

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* meh

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* additional data types for im2col/col2im

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* Added test for firas_sparse op.

* one more RandomBuffer test excluded

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* Added tests for flatten op.

* Added test for Floor op.

* bunch of tests fixed

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* mmulDot tests fixed

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* more tests fixed

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* Implemented floordiv_bp op and tests.

* Fixed scalar case with cuda implementation for bds.

* - work on cuda kernel for clip_by_norm backprop op is completed

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

* Eliminate cbow crach.

* more tests fixed

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* more tests fixed

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* Eliminated abortion with batched nlp test.

* more tests fixed

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* Fixed shared flag initializing.

* disabled bunch of cpu workspaces tests

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* scalar operators fix: missing registerSpecialUse call

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* Fixed logdet for cuda and tests.

* - correct clipBynorm_bp

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

* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

Signed-off-by: Yurii <yurii@skymind.io>
2019-08-05 11:27:05 +10:00
raver119 763a225c6a [WIP] More of CUDA operations (#69)
* initial commit

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

* - gruCell_bp further

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

* - further work on gruCell_bp

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

* Inverse matrix cublas implementation. Partial working revision.

* Separation of segment ops helpers. Max separation.

* Separated segment_min ops.

* Separation of segment_mean/sum/prod/sqrtN ops heleprs.

* Fixed diagonal processing with LUP decomposition.

* Modified inversion approach using current state of LU decomposition.

* Implementation of matrix_inverse op with cuda kernels. Working revision.

* Implemented sequence_mask cuda helper. Eliminated waste printf with matrix_inverse implementation. Added proper tests.

* - further work on gruCell_bp (ff/cuda)

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

* comment one test for gruCell_bp

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

* - provide cuda static_rnn

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

* Refactored random_shuffle op to use new random generator.

* Refactored random_shuffle op helper.

* Fixed debug tests with random ops tests.

* Implement random_shuffle op cuda kernel helper and tests.

* - provide cuda scatter_update

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

* Implementation of random_shuffle for linear case with cuda kernels and tests.

* Implemented random_shuffle with cuda kernels. Final revision.

* - finally gruCell_bp is completed

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

* Dropout op cuda helper implementation.

* Implemented dropout_bp cuda helper.

* Implemented alpha_dropout_bp with cuda kernel helpers.

* Refactored helper.

* Implementation of suppresion helper with cuda kernels.

* - provide cpu code fot hsvToRgb, rgbToHsv, adjustHue

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

* Using sort by value method.

* Implementation of image.non_max_suppression op cuda-based helper.

* - correcting and testing adjust_hue, adjust_saturation cpu/cuda code

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

* Added cuda device prefixes to declarations.

* Implementation of hashcode op with cuda helper. Initital revision.

* rnn cu impl removed

Signed-off-by: raver119 <raver119@gmail.com>
2019-07-20 23:20:41 +10:00
Alex Black 1170827c18 Merge master to upstream (#7945)
* Shugeo strided slice zeros (#14)

* Modified strided_slice op to properly work with empty-like shapes.

* Fixed test for reduce_mean with empty-like input.

* [WIP] Last merge (#15)

* correct logsoftmax looss (#2)

* Small SameDiff listener fix (#4)

* Various fixes (#6)

* #7839 Fix for asXMatrix and tests

* #7866 EmbeddingSequenceLayer dtype fix + test

* #7856 SameDiff save/load stream methods

* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration

* EvaluationBinary 3d/4d

* More evaluation 3d/4d tests

* #7847 Evaluation empty checks

* Small test ifx

* #7848 Fix median edge case

* Improve DL4J samediff layer tests

* [WIP] FastText wrapper implemented (#8)

* FastText implemented

* Some fixes

* Fix shapes for wordsNearest

* Validation of input vectors

* Fixes

* Fixed test

* Thread tagged

* Some tweaks

* setContextClassLoader for DeallocatorServiceThread

* Numpy format tests (#1)

* Various fixes (#11)

* #7852 SameDiff gather fix

* #7892 SameDiff placeholder to constant conversion

* #7890 validate input rank for MLN/CG init methods

* Fix broken permute shape calculation

* Permute and gather fixes

* Tests

* #7850 LogSumExp fix + test

* Handful of test fixes

* Empty arrays with non-scalar shapes (#10)

* minor rearrangements for lambdas

* empty tensors with non-scalar shapes

* numpy empty tensors with non-scalar shapes

* few more empty tweaks

* Small fixes

* conv3d signature update

* micro fix in batchnorm mkldnn

* Import fixes

* Fix

* MKL-DNN update

* Small fill fix

* fill with empty input + test

* Fixes

* Small error improvement

* Fix

* one special test

* couple of fixes for lstm

* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone

* Fixes

* FP16

* Unsigned

* BFloat16

* Fill op - empty tweaks

* - couple of fixes for empty arrays construction
- stack updated

* strided slice fix

* one transform test

* provide method for reducing shapeInfo in case of input array is empty

* Fixed reduceAlongDimensions to use empty input properly.

* couple of broadcast tests

* couple of tests broadcast tests + tweak to make them pass

* add check of non-empty to methods producing sub-arrays

* Fixed reshapeC with zeros in shape.

* complete empty check in reduce_... legacy ops

* Concat and cumsum/prod

* Tweak to empty shape inference on import

* add empty check to the rest of reduce legacy ops

* one more test

* correct typo in evalReduceShapeInfoEmpty

* Added tests for reduce_* ops to tests with zero shapes.

* few more tests for empty reductions

* Fixed strided_slice op with empty case and tests.

* one more empty reduction test

* Fixed strided_slice test.

* add empty check to NDArray::reshapei

* infOrMax

* empty min/max with infinity tests

* made unstack working correctly with empty arrays

* few IndexReduce tests + tweaks for empty shapes

* add test for empty concat

* few tests fixed

* Validation fix for reductions on empty shapes

* Reverse fix

* Reduction shape calc fixes

* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs

* Range fix

* - NDArray constructor updated for scalars/empty arrays
- few tests fixed

* More fixes

* Empty creator fixes

* concat fix

* concat fix

* TF import tests: allow 'both all NaN' and 'both all inf' to pass

* Slice, zero fraction, and reshape fixes

* transpose, gather

* Zero fraction

* scalar cast fix

* Empty reduction axis support

* few more tests fixed

* Fixed input checks conforming with TF for concat op and tests.

* few tests fixed

* matmul scalar shape fix

* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.

* broadcast bool fix

* few more tests

* few more tests

* correct evalReduceShapeInfoEmpty

* argmax/argmin + tests

* one more empty edge case + one more test

* argmax/argmin/realdiv_bp tweaks

* empty reshape test + fix

* Helper fixes

* Small fixes

* Gather test fix

* Gather test fix

* Small fixes

* reduce scalar zero values

* scalar mean workaround

* Remove debug code

* along dim mean workaround

* one more test

* - equalsTo() tweak for empty arrays
- one more test

* broadcast tweaks

* [WIP] Fixing outstanding issues for NLP (#9)

* Avoid using not-inited objects

* Test fixed.

* Redundant method avoided for models like FastText

* KMeans++ implementation

* KMeans++ implementation

* Disable parallel execution

* KMeans++

* Tests

* Dev branch merge (#16)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Fix some issues on master (#17)

* Fix DataVec test issue

* Fix issue with dl4j SameDiff output layer

* Dtype fix for lambda layers

* #7912 BertIterator dtype fix (use float32 not global default)

* [WIP] Next set of CUDA stuff (#7)

New CUDA implementations and improvements

* bad file

* Dev branch master merge (#23)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* SameDiff ops, TF import and fixes (#24)

* CheckNumerics tests + fixes + misc fixes

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

* Fake quant

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* Fixes

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* FakeQuantWithMinMaxArgs

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* CheckNumerics fix

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* Fix libnd4j ALL_INTS and ALL_FLOATS declaration (uint and bfloat types)

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* Small fix

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* Javadoc

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* Exception tweak

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* fix

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* Fix for out of scope stack allocated var use

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* Ignores

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* Ignore for known failing test (already logged issue)

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* Merge upstream to fork (#25)

* Add thousand-separator commas to TotalParams (#7915)

* Add thousand-separator commas to TotalParams

The number of parameters can be quite large, and it would help the reading of the summary printout to have the TotalParams column & values at the bottom have thousand-separator-commas in them.

* Add thousand-separator commas to MultiLayerNetwork

Corresponding change to MultiLayerNetwork

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* Update contributing and issue/PR templates (#7934)

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* Fix link to AdaDelta paper (#7942)

Fix link to AdaDelta paper hosted on matthewzeiler.com

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* Fixes, and ignores for known/logged failing issues (#7943)

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* SameDiff + DL4J/SameDiff: Multiple fixes (#28)

* #7919 HDF5 attribute buffer length fix

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* #7909 Arbiter constructor exception ux improvements

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* #7925 RNN output layer length checks

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* #7939 Add listener for validating inputs are not incorrectly modified

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* #7939 Integrate NonInplaceValidationListener into tests

* #7844 DL4J SameDiff fixes for variable minibatch size

* DL4J SameDiff fixes - ensure gradient for input placeholder is available

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* Tweaks to ExternalErrorsFunction - use placeholders, make more robust

* Another fix

* More fixes

* More SameDiff/DL4J fixes

* Scope out scalar array creation in BaseScalarOp

* Remove debug code

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* [WIP] Final dev branch merge (#29)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* [WIP] Multiple dataset iterators (#27)

* Splitting dataset into arbitrary number

* Fixes

* Multiple split of iterator

* Test

* Test

* Some fixes

* signature change

* one more tweak

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* one more test for sequential use of DataSetIteratorSplitter

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* Fixes

* Fixes

* one more test for Alexander

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* Some fixes

* Some fixes

* one more test for Alexander

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* minor test fix

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* Some fixes

* Some fixes

* couple of assertions tweaked

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* MDS splitter test :/

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* Minor refactoring

* Multi dataset

* Some fixes

* More tests

* Small number of test fixes/improvements (failures on CI) (#31)

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* [WIP] More CUDA stuff (#26)

* initial commit

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* LRN BP CUDA

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* less memory

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* Fixed bug with crop_and_resize op helper.

* get rid of unnecessary index-calculation dunction

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

* Fixed sort with nth_element cuda-based helper.

* Refactored nth_element.

* Refactored nth_element op and tests.

* Modified usage of dim array with sortTad routine.

* Refactored main routine of helper for non_max_image_suppression op.

* non_max_image_suppression op helper with cuda kernel implementation. Initial revision.

* fix vol2col cuda kernel

* meh

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* topK concept

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* unsorted topK with scanWitdh of 1

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* correct vol2col tests

* sorted/unsorted topK

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* implementation and fixing col2im/col2vol

* Corrected usage flags with input/output with reverse op.

* dup is const now

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* percentile op

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* group tests for mapool2d

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* special test for george

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* less threads for sortTad

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* provide conv2d for cuda

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* remove auther in sort tad kernel code

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* provide depthwise_conv2d for cuda

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* - max_pooling_with_argmax
- null check for special use

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* dts cuda

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* provide sconv2d for cuda

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* std cuda

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* Refactored non_max_suppression op to conform TF implementation.

* Improved suppression helper.

* provide pooling3d for cuda

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* minor lstm rearrangements

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* more of minor lstm rearrangements

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* (bi)dynamic_rnn

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* templates init order

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* Refactored non_max_suppression op.

* Added cuda kernel for non_max_suppression.

* CPU sort by key/value

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* CPU sort TAD by key/value

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* CPU sort TAD by key/value tests

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* Eliminate compiler error with cuda implementation.

* - repaired gradCheck in cuda
- provide conv2d_bp for cuda

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* missed signature

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* provide depthwise_conv2d_bp for cuda

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* Implementation of lup helper with cuda kernel. Initial commit.

* further work on backprops for convolutions

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* CUDA linear sort by key/val

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* CUDA tad sort by key/val

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* start providing of backprop for pooling2d/3d

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* Added atomicAdd for bool datatype.

* dynamic partition concept

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* dynamic partition concept

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* dynamic partition scalar CUDA

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* important comment

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* fix pooling2d/3d backprop helpers

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* Added non-linear test with dynamic_partition.

* Improved test for dynamic_partition.

* dynamic_partition TAD concept

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* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix

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* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d

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* dynamic_stitch CUDA vector case

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* dynamic_stitch CUDA TAD case concept

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* dynamic_stitch CUDA TAD case impl

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* Added tests for dynamic_stitch 3D-4D cases.

* minor tests tweaks

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* Fixed type check for dynamic stitch.

* min/max bp

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* rewrite code for upsampling2d/3d cpu

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* reduce min/max/norm_max bp

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* lup implementation. Additional enhancements.

* provide code for upsamling2d/3d backprop

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* weightedCrossEntropyWithLogits

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* Fixed template math atomicMul for 64bit ints.

* Refactored dynamic_partition_bp op.

* inverseBroadcast fix

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* DynamicPartitionBP test datatype fixed.

* - nd4j_atomicMul Windows fix
- cpu/NDArrayLambda.hpp excluded from CUDA

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2019-06-27 18:37:04 +03:00
skymindops b5f0ec072f Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00