Commit Graph

80 Commits (a119da98b5fdf0181fa6f9ae93f1bfff45772495)

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
Yurii Shyrma 753ce28a92
Shyrma sqrtm (#429)
* - start working on implementation of sqrtm op

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

* - improving householder procedure

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

* - further polishing householder stuff

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

* - polishing hh pivoting qr procedure

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

* - polishing BiDiagonalUp procedure

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

* - polishing householder sequence class

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

* - polishing jacobi svd class

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

* - polishing svd stuff 1

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

* - polishing svd stuff 2

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

* - implementation and testing class which performs Hessenberg decomposition of square matrix

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

* - add static method to JacobiSVD class which makes the continuous Givens rotation generation algorithm

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

* - implementation and testing auxiliary methods of Schur decomp class

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

* some references here and there

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

* - trying figure out difference between eigen and our Schur alg

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

* - testing fixing bugs in Schur decomposition op

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

* - start to implement class which performs calculation of eigen values and vectors

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

* - add to EigenValsAndVecs method which calculates complex eigen vectors

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

* - testing and fixing bugs in EigenValsAndVecs class

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

* - implementation and testing triangularSolver class

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

* Added a 2D routine for triangular systems solve.

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

* Refactored triangularSolve2D routine and tests.

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

* Refactored another test for triangularSolve2D.

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

* Refactored test for triangularSolve for vector-bar case.

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

* Refactored triangularSolve2D routine and tests.

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

* - implementation of FullPivLU class

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

* - fix bugs in FullPivLU::solve method

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

* - correct permutation vector in FullPivLU::solve

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

* - correct include headers

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

* - implementation of Sqrtm class

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

* - testing and fixing bugs in Sqrtm class

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

* - include sqrtm classes to cuda folder, investigate in what places synchronization doesn't work

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

* Added implementation for cuda triangularSolve2D and also refactored triangularSolve2D for cpu.

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

* Eliminated waste implementations.

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

* - make offset calculation faster in t<> methods

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

* - rename refference T& NDArray::t<> method

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

* - further work on cuda sqrtm

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

* - provide correct synchronization to device in Sqrtm class

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

* - add tests for sqrtm op

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

* - correct fails which appeared while testing on jenkins

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

* - trying to find out mistake in svd::deflation method

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

* Revert "- trying to find out mistake in svd::deflation method"

This reverts commit 19d37baddbc509028e4bc67bc932fe7449becdb6.

* Revert "- trying to find out mistake in svd::deflation method"

This reverts commit 19d37baddbc509028e4bc67bc932fe7449becdb6.

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

* - change call semantic of r<> and t<> methods

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

* - ged rid of ambiguity in * operator overloads for windows buikd

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

* - get rid of ambiguity in * operator overloads for windows build 2

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

* - get rid of ambiguity in * operator overloads for windows build 3

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

* - resolve conflicts with master

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

* cmakelists updated

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

* - minor fix in merge cpu helper - make use of reference getter

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

Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-14 18:06:13 +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
Yurii Shyrma 76f3553679
Shyrma merge max ind (#443)
* - provide correct possible output types in mergeMaxIndex op

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

* - cleaning up the unneeded backprop arg in reverse_bp op

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

* - improve clipByNorm both ff and bp

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

* - implementation and testing clipByAvgNorm_bp op

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

* - pass biases in any way in dnnl lstm op, they are zeros when user doesn't provide them to us

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

* - start working on mkldnn concat op

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

* - further work on mkldnn concat

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

* missing declaration fix

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

* - polishing mkl ops

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

* - testing and fixing bugs in mkl concat op

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

* - fix linkage error for windows cuda build

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

* - further conflicts resolving with master

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

* - fix format tags in mkldnn matmul op

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

* - provide additional type cast in clip.cu

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

* - finally bug in mkldnn tanh_bp was caught

Co-authored-by: raver119@gmail.com <raver119@gmail.com>
2020-05-12 07:47:09 +03:00
raver119 0613485654
compression ops (#436)
* Added declarations for decode/encode_bitmap ops.

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

* Added implementation for bitmap encoding/decoding ops.

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

* Added helpers for encode/decode bitmap ops.

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

* Refactored encodingBitmap helper.

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

* threshold encode/decode skeleton

* helper skeleton

* minor import fix

* encoder shape fn & op impl

* thresholdEncode cpu impl

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

* thresholdDecode cpu impl

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

* Only cosmetical changes.

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

* placeholder

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

* Added cuda implementation for bitmap decode helper.

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

* cuda thresholdEstimate

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

* cuda thresholdDecode

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

* next step

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

* - nano cmakelist update (get rid of Clion section)
- fixed forgotten throw in AtomicTests

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

* thesholdEncode cuda impl

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

* Added tests for bitmap encoding/decoding ops.

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

* Fixed tests for encode/decode bitmaps.

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

* Refactored decode/encode helpers.

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

* Fixed crashes with bitmap decode/encode helpers.

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

* bitmap encode/decode CPU

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

* bitmap encode/decode CUDA

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

* C API removed for threshold/bitmap encode

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

* EncodeBitmap/DecodeBitmap Java side

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

* EncodeThreshold/DecodeThreshold Java side

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

* EncodeThreshold/DecodeThreshold Java side

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

* few more tests for threshold encoding

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

* minor test tweak

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

* two special tests

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

* encodeBitmap CPU fix

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

* parallel_long/parallel_double proper spans fix

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

* encodeThreshold CUDA fix

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

* nano fix

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

* grid tweaks

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

* RTX adaptation for thresholdEncode

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

* don't allow threshold encoding for length < 2

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

* get rid of NDArrayCompressor in EncodingHandler

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

* one more minor update of EncodingHandler

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

* one more minor tweak of EncodingHandler

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

* - matmul allows integer data types use
- EncodingHandler boundary default value
- few tests for integer matmul

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

* minor fix of CUDA bitmap encode

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

* boundary changed to integer everywhere

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

* boundary changed to integer everywhere

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

* re-enable CUDA deallocator

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

* threshold encoder fix for systems without omp

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

* - encode_threshold now requires non-negative boundary
- minor tweak in EncodingHandler

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

* restore parallelism in decode_bitmap

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

* fall back to omp for encode_bitmap cpu

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

* single time casts

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

* - additional test for encode_threshold
- sync buffers to device before calling for shape function

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

Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-08 20:59:39 +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
Yurii Shyrma 4247718f61
Shyrma gru bp (#377)
* - update gru ff op

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

* - implementation and testing gru_bp op

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

* - neglect dependencies between dLdh/dLdhLast/dLdcLast in lstmLayer backprop

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-04-16 08:09:04 +03:00
Yurii Shyrma 23e4aa99ad
Shyrma lstm layer bp (#370)
* - start working on bp for lstm

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

* - further working on bp for lstmLayer

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

* - minor change

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

* - further work on bp for lstmLayer 2

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

* - further work on bp for lstmLayer 3

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

* - further work on bp for lstmLayer 4

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

* - further work on bp for lstmLayer 5

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

* - further work on bp for lstmLayer 6

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

* - further work on bp for lstmLayer 7

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

* - further work on bp for lstmLayer 8

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

* - further work on bp for lstmLayer 9

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

* - provide lstmLayerCell and lstmLayerCellBp as separate CUSTOM_OPs

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

* - testing and fixing lstmLayerCellBp helper

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

* - implement lstmLayerCellBp as separate op

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

* - implement lstmLayerBp as separate op (not tested)

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

* - fixing calculations of dLdWp and dLdb in lstmLayerCellBp

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

* - further work on bp for lstmLayer 10

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

* - fixing typo in lstmLayerTimeLoop

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

* - forgot to perform clipping of c array and calculate corresponding derivative in lstmLayerCellBp

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

* - further work on bp for lstmLayer 10

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

* - testing and fixing bugs in lstmLayer_bp op 1

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

* - testing and fixing bugs in lstmLayer_bp op 2

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

* - turn off heavy tests for cuda for lstmLayer_bp op

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

* - forgot to nullify gradients at eliminated time steps (when sequnce length array is present )

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-04-13 13:21:51 +03:00
raver119 04b2b4f9b6
Few fixes (#361)
* INDArray.close() fix for CPU

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

* - BroadcastableBoolOp introduced
- ConfusionMatrix now supports explicit DataType argument

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

* confusion_matrix: dtype is still optional

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

* disable bert tests in debug builds

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

* Affinity fix

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

* minor workspace tweak to allow close() on scoped out borrowed workspace

Signed-off-by: raver119 <raver119@gmail.com>
2020-04-06 21:01:59 +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

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* libnd4j merge master

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* libnd4j some improvements to avoid NDArray transpose in xw_plus_b operation

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

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

* libnd4j fixed compilation error

* libnd4j several more corrections after conflict solve and fixed typos

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* libnd4j removed unsupported data types

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* libnd4j merge master and fixed issues

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* 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

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* libnd4j one minor fix of double operation declaration

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* libnd4j code clean up

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* libnd4j minor tests fixes

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* libnd4j fixed build problem, integrate helpers changes

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Co-authored-by: raver119 <raver119@gmail.com>
2020-03-31 13:03:10 +03:00
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

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* libnd4j some corrections for mergeMaxBp

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* libnd4j some minor corrections

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* libnd4j test added for mergemax_bp

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* libnd4j fixed several problems tests added, check with gradCheck

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* libnd4j remove duplicated tests

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* libnd4j split implementation of transforms ops into separate file implementation

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

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* libnd4j merge master, fixed typos and added tests

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* libnd4j some minor fixes

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

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

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* libnd4j some additional corrections for merge ops

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* libnd4j more corrections per request for cuda more proper usage

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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

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* libnd4j some corrections after discussion

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* libnd4j integrate applyScalar

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* libnd4j raw implementation of rmsPropUpdater on cpu

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* libnd4j fix operations declaration

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* libnd4j rmsPropUpdater added, test cases for sgd, etc

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* libnd4j fixed several typos

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

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

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* libnd4j adaGrad updater added

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* libnd4j one minor fix for ada grad

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* libnd4j several more fixes for ada_grad

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* libnd4j nesterovs updater added

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

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* libnd4j one minor typo

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* libnd4j ada max updater added

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* libnd4j fixed several typos in adaMax updater

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* libnd4j fixed several typos in adaMaxUpdater

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* libnd4j several fixes for adaMax, added Adam Updater

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* libnd4j adaDeltaUpdater added, minor fixes for adamUpdater

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* libnd4j several fixes for adaDeltaUpdater

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* libnd4j nadamUpdater added

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* libnd4j one more correction for nadam updater

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* libnd4j several fixes for nadam updater and added amsGradUpdater

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* libnd4j several typos fixed in amsGradUpdater

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* libnd4j some corrections and added f order support rmsProp updater

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

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

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* libnd4j added input shape checks

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* libnd4j some corrections for different cases handling

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* libnd4j some code clean up and optimize per request

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* libnd4j updaters refactoring after review

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* SgdUpdater wrapper

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* first test

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* RmsPropUpdater added

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* NadamUpdater + NesterovsUpdater

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* AmsGradUpdater

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* AdamUpdater added

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* AdaGradUpdater + AdaDeltaUpdater + AdaMaxUpdater

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* AdaGradUpdater test added

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

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* libnd4j next step to split operations implementation into separate files

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* libnd4j merge master and minor corrections

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* libnd4j revert some changes of split implementation

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* libnd4j forgot to add header file

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* public default constructors

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* ImportClassMapping updated

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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

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* one more tweak

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* few more rearrangements

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* few more rearrangements

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* few more rearrangements

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* cuda includes rearrangements

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* java update

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

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* java update

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* LoopKind minor fix

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* few more changes

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* few more changes

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* few more changes

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* sanitizer is optional now

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* dev tests updated

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* few more changes

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* last update

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* java update

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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.

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* Merged tests.

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* Refactored lstsq op for fast case.

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* Fixed test.

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* 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.

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* Added kernel for giagonal factor

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* 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.'

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* Tests on

* Refactored test for lstsq op.

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* 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

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* one small test

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* bert test

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* Graph FlowPath fix

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* - GraphProfiler tweaks
- NodeProfile now includes shapes

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* RELU_layer inplace tweak

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* meh

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* identity tweaks

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* bert result validation

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

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* ffast-math enabled

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* ffast-math enabled

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* allow some legacy ops to be inplace

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* disable -fast_math

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* disable expensive test for cuda

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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

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* 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

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* Libnd4j: TensorMMul backprop op #8174 sync master

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* - 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

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* - 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

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* - 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

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* - correct bug in transform cuda native ops

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* - correct bug in NDArray::assign

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* - remove old shape::reshape stuff

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* - add possibility to disable copy of old buffer to new buffer during reshape operation in NDArray class

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* - correct bug in tensorDot which had to do with wrong pointers assigments

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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.

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* Linear equations systems solve. The next stage commit.

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* Added test for linear equations systems solve operation.

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* Added additional test and fixed lower matrix retrievance.

* Implementation for solve of the systems of linear equations."

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* Refactored permutation generation.

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* 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.

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* Fix gtest output on Windows

* Fixed issue with permutation matrix for cuda implementation.

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* Fixed issue with permutation matrix for cpu implementation.

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* Eliminated waste comments.

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* LinearSolve added

* Mapping added

* Javadoc added

* Refactored implementation of triangular_solve helpers and tests for solve matrix equations generally.

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* Added a test for solve op.

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* 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

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* - one more test for OneHot with dtype
- one more signature in Nd4j

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* ones_as/zeros_as now accept dtype

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* one more test

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

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* few c++ tests fixed

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* few more changes around DArgs

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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.

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* Eliminated waste manual ticking.

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* Refactored memory allocation to avoid waste memory usage.

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* Refactored matrixMinor method both for cuda and cpu platforms.

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* Refactored method of vmul to use raw buffers instead type conversion.

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* Refactored temporary array of matricies.

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

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-01-22 13:59:36 +03:00
shugeo 815a2908af Shugeo solve triangular (#173)
* Added implementation of the triangular_solve op.

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

* Fixed compilation issues.

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.

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* 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.

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* Corrected grammar errors with doc and error messages.

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* Refactored matricies processing with triangular_solve cuda helper implementation.

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* Added triangular_solve wrapper

* Fixed mapping

* Added processing for adjoint with cpu helpers of triangular_solve op implementation.

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* Added implementation for adjoint routine with cuda platform.

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* Added multithreading with adjoint routine for cpu platform.

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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-22 10:48:03 +03:00
shugeo e50b285c2c Shugeo resize area (#162)
* Added implementation for resize_area op. Initial commit.

* Added implementation of resize_area op. Initial revision.

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

* Corrected resizeArea functor call.

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* Implementation of resize_area. Cpu platform helpers.

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* Implementation for resize_area helpers. The first part revision.

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* Added a set of tests for resize_area op.

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* Cuda implementation for resize_area. Initial approach.

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* Adding multithreading for resize_area algorithm.

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* Cuda implementation of resize_area helpers. Shared memory approach.

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* Refactored resizeAreaKernel with cuda implementation.

* Eliminated compilation errors.

* ResizeArea helpers for cuda platform. The first working revision.

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* Added test for batched resize_area op testing.

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* Implementation of resize_are for cuda platform and tests.

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* Fixed multithreading with resize_area op helper.

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* Corrected copyright marks with sources.

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* Corrected copyright mark for resize_area op implementation.

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* Corrected copyright mark for parity ops header.

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* Corrected typo in strings and so on with image resize ops.

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* Refactored resize_area helpers and multithreading.

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* Added ResizeArea wrapper

* Added test with align_corners and fixed shape processing with only int args given for output size.

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* Added test

* TF mapping for ResizeArea

* Fixed implementation issues with resize_area op for both platforms.

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* Refactored image resizer struct to use flexible types for ints and floats.

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* Improved multithreading with resizeAreaKernel launch.

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* Use asynchronical memory copying with cuda platform image resize allocations.

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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

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* Libnd4j: Add broadcastable elementwise power derivative #7461 fised bugs for different shapes support, tests updated

* Libnd4j: Add broadcastable elementwise power derivative #7461 applied all possible variants via tiled arrays, add support of broadcast for Pow and PowDerivative ops, covered by tests, before review have to be replaced tiled implementation by applyTrueBroadcast

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* Libnd4j: Add broadcastable elementwise power derivative #7461 replaced tile by broadcast implementation, fixed issue with negative x input, corrected tests, need additional testing

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* Libnd4j: Add broadcastable elementwise power derivative #7461 added and corrected test cases, corrected implementation need review

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* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up

* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up, removed some tests, add tests with scalar

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* Libnd4j: Add broadcastable elementwise power derivative #7461 code improvement and clean up, split tests

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* Libnd4j: Add broadcastable elementwise power derivative #7461 some code clean up

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* Libnd4j: Add broadcastable elementwise power derivative replace __isnanf by internal realization

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* pow_bp wrapper

* Fixed PowBp wrapper

* Tests added

* Test fixed

* Fix return type

* Disable powBp usage

* Pow backprop changed

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
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

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* libnd4j: Multinomial op some corrections in max min declaration

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* 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

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* 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.

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* libnd4j: Multinomial op minor corrections

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* 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

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* next step

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* missing include

* sparse_to_dense

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* few more tests files

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* draft

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* numeric sparse_to_dense

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* comment

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* string sparse_to_dense version

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* CUDA DataBuffer expand

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* few tweaks for CUDA build

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* shape fn for string_split

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* one more comment

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* string_split indices

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* next step

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* test passes

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* few rearrangements for databuffer implementations

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* DataBuffer: move inline methods to common implementations

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* add native DataBuffer to Nd4j presets

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* DataBuffer creation

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* use DataBuffer for allocation

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* cpu databuffer as deallocatable

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* DataBuffer setters for bufers

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* couple of wrappers

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* DataBuffers being passed around

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* Bunch of ByteBuffer-related signatures gone

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

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

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* one special test

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* empty string array init

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* one more test in cpp

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* memcpy instead of databuffer swap

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* special InteropDataBuffer for front-end languages

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* few tweaks for java

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* pointer/indexer actualization

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* CustomOp returns list for inputArumgents and outputArguments instead of array

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* redundant call

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* print_variable op

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

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* one more test

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* - empty arrays handling

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* - deserialization works now

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* minor fix

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* meh

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* one more fix

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* initial cuda commit

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* print_variable message validation

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* CUDA views

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* CUDA special buffer size

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* minor update to match master changes

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

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* meh

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* - print_variable now allows print from device

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* InteropDataBuffer data type fix

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* ...

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* disable some debug messages

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* master pulled in

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* couple of new methods for DataBuffer interop

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* java side

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* offsetted constructor

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* new CUDA deallocator

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* CUDA backend torn apart

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* CUDA backend torn apart 2

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* CUDA backend torn apart 3

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

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* few more tests + few more tweaks

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* two failing tests

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* one more test

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* two failing tests pass

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* now we pass DataBuffer to legacy ops too

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* Native DataBuffer for legacy ops, Java side

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* CPU java side update

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* CUDA java side update

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* no more prepare/register action on java side

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* NDArray::prepare/register use now accepts vectors

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* InteropDataBuffer now has few more convenience methods

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* java bindings update

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* tick device in NativeOps

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* Corrected usage of OpaqueBuffer for tests.

* Corrected usage of OpaqueBuffer for java tests.

* NativeOpsTests fixes.

* print_variable now returns scalar

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* one more test

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* compat_string_split fix for CUDA

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

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* legacy ops DataBuffer migration prototype

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* ignore device shapeinfo coming from java

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* minor fix

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* minor transformAny fix

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* minor tweak for lazy host allocation

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

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* - IndexReduce CUDA dimension buffer fix

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* views for CPU and CUDA

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* less spam

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* optional memory init

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* async memset

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

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* - reduce3All fix
switch to CUDA 10 temporarily

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* CUDA version

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* proper memory deallocator registration

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* HOST_ONLY workspace allocation

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* temp commit

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* few conflicts resolved

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* few minor fixes

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* one more minor fix

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* NDArray permute should operate on JVM primitives

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

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* - addressPointer temporary moved to C++

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* CUDA: don't account offset twice

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* CUDA: DataBuffer pointer constructor updated

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* CUDA NDArray.unsafeDuplication() simplified

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* CUDA minor workspace-related fixes

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* CPU DataBuffer.reallocate()

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* print_affinity op

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* print_affinity java side

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* CUDA more tweaks for data locality

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* - compat_string_split tweak
- CudaUtf8Buffer update

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* INDArray.close() mechanic restored

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* one more test fixed

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

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* one last fix

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* bad import removed

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* another small fix

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* one special test

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* fix bad databuffer size

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* release primaryBuffer on replace

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* higher timeout

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* disable timeouts

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* dbCreateView now validates offset and length of a view

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* additional validation for dbExpand

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* restore timeout back again

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* smaller distribution for rng test to prevent timeouts

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

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* OpaqueDataBuffer now contains all required methods for interop

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* some javadoc

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* GC on failed allocations

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* minoe memcpu tweak

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* one more bitcast test

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

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* DataBuffer additional syncStream

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* DataBuffer additional syncStream

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* one ignored test

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* skip host alloc for empty arrays

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* ByteBuffer support is back

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* DataBuffer::memcpy minor fix

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* few minor prelu/bp tweaks

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* nullify-related fixes

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* PReLU fixes (#157)

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* Build fixed

* Fix tests

* one more ByteBuffer signature restored

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* nd4j-jdbc-hsql profiles fix

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* nd4j-jdbc-hsql profiles fix

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* PReLU weight init fix

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* Small PReLU fix

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

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* missed file

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* Small tweak

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* cuda 10.2

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* minor fix

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Co-authored-by: shugeo <sgazeos@gmail.com>
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

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* libnd4j: RgbToYuv and YuvToRgb minor corrections

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* libnd4j: RgbToYuv and YuvToRgb corrections to use operations in-place
2019-12-24 18:30:54 +03:00
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