Commit Graph

14 Commits (74ec451934541ba5f85eb571f29214e112c6a15c)

Author SHA1 Message Date
agibsonccc 6dc7e2f08f Update c++ copyrights 2021-02-01 21:31:45 +09:00
raver119 ac7fb903d7
C++ rearrangements (#485)
* initial commit

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* some minor singleton changes

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* more iterations

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* more singletons updated

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* more singletons updated

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* more changes

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* CUDA updates

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* Java side update

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* one commented out test

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2020-06-06 15:26:55 +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

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* - polishing hh pivoting qr procedure

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* - polishing BiDiagonalUp procedure

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* - polishing householder sequence class

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* - polishing jacobi svd class

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* - polishing svd stuff 1

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* - polishing svd stuff 2

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

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* - 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

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* some references here and there

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

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

* - testing fixing bugs in Schur decomposition op

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

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* - add to EigenValsAndVecs method which calculates complex eigen vectors

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* - testing and fixing bugs in EigenValsAndVecs class

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* - implementation and testing triangularSolver class

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* Added a 2D routine for triangular systems solve.

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

* Refactored triangularSolve2D routine and tests.

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* Refactored another test for triangularSolve2D.

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* Refactored test for triangularSolve for vector-bar case.

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* Refactored triangularSolve2D routine and tests.

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* - implementation of FullPivLU class

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* - fix bugs in FullPivLU::solve method

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* - correct permutation vector in FullPivLU::solve

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* - correct include headers

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* - implementation of Sqrtm class

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* - testing and fixing bugs in Sqrtm class

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

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

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

* Eliminated waste implementations.

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* - make offset calculation faster in t<> methods

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

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* - further work on cuda sqrtm

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* - provide correct synchronization to device in Sqrtm class

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* - add tests for sqrtm op

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* - correct fails which appeared while testing on jenkins

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* - 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.

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

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

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

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

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* - resolve conflicts with master

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* cmakelists updated

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* - 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
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.

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* Added helpers for encode/decode bitmap ops.

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* Refactored encodingBitmap helper.

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* threshold encode/decode skeleton

* helper skeleton

* minor import fix

* encoder shape fn & op impl

* thresholdEncode cpu impl

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* thresholdDecode cpu impl

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* Only cosmetical changes.

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* placeholder

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* Added cuda implementation for bitmap decode helper.

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* cuda thresholdEstimate

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* cuda thresholdDecode

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* next step

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

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* thesholdEncode cuda impl

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* Added tests for bitmap encoding/decoding ops.

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* Fixed tests for encode/decode bitmaps.

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* Refactored decode/encode helpers.

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* Fixed crashes with bitmap decode/encode helpers.

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* bitmap encode/decode CPU

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* bitmap encode/decode CUDA

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* C API removed for threshold/bitmap encode

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* EncodeBitmap/DecodeBitmap Java side

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* EncodeThreshold/DecodeThreshold Java side

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* EncodeThreshold/DecodeThreshold Java side

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* few more tests for threshold encoding

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* minor test tweak

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* two special tests

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* encodeBitmap CPU fix

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* parallel_long/parallel_double proper spans fix

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* encodeThreshold CUDA fix

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* nano fix

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* grid tweaks

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* RTX adaptation for thresholdEncode

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* don't allow threshold encoding for length < 2

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* get rid of NDArrayCompressor in EncodingHandler

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* one more minor update of EncodingHandler

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* one more minor tweak of EncodingHandler

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

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* minor fix of CUDA bitmap encode

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* boundary changed to integer everywhere

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* boundary changed to integer everywhere

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* re-enable CUDA deallocator

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* threshold encoder fix for systems without omp

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

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* restore parallelism in decode_bitmap

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* fall back to omp for encode_bitmap cpu

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* single time casts

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

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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-08 20:59:39 +03:00
raver119 3e2dbc65dd
MatMul for gemm/gemv calls (#365)
* libnd4j added optional alpha and beta support to matmul

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

* libnd4j typos fixes

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

* libnd4j add optional alpha and beta to matmul_bp

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

* libnd4j one more typo fix

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

* libnd4j added optional alpha and beta to mkl implementation

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

* MatMul alpha/beta on java side

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* alpha/beta fix in libnd4j

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* alpha/beta fix in matmul_bp

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* restored view validation

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* gemv/gemm now use MatMul op

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* few tests fixed

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* additional INDArray.mmul signature

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* make C order default for INDArray.mmul, unless both A/B have F order

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* Nd4j.gemm validation fix

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* disable mkldnn matmul for xxf with beta != 0 case

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* SimpleRnn workspace fix + timeouts

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

* two more tests + minor fix in matmul platform check

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* Flaky test fixes

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* propagate testresources profile

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* Resources fix + flaky test fix

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

Co-authored-by: Oleg <oleg.semeniv@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-10 17:57:02 +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
Yurii Shyrma 22c7aa9acf
Shyrma mkl matmul (#250)
* - provide matmul code based on mkl api

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

* - correct typo in mkl matmul op

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

* - take into account empty arrays in mkl matmul op

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* - fix bug in mkl matmul and group all matmul tests in one file

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-18 08:58:01 +03:00
Yurii Shyrma fe47f52896
Oleh tenzor mmul (#231)
* Libnd4j: TensorMMul backprop op #8174, raw implementation

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

* Libnd4j: TensorMMul backprop op #8174 merge master and some corrections

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

* Libnd4j: TensorMMul backprop op #8174 algorithm update, need testing, sync with  master

* Libnd4j: TensorMMul backprop op #8174 fixed incorrect B axes calculation

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

* Libnd4j: TensorMMul backprop op #8174 optimize axes identification and fix bug of indeces overlapping, added first test. need testing with different shapes

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

* Libnd4j: TensorMMul backprop op #8174 some fixes and improvements need more testing

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

* Libnd4j: TensorMMul backprop op #8174 fixed order of matrix multiply

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

* Libnd4j: TensorMMul backprop op #8174 fixed issue of incorrect axes definition, add tests based on TF, need additional testing for case dLdC not equal 1

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

* Libnd4j: TensorMMul backprop op #8174 fixed scalar case add test

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

* Libnd4j: TensorMMul backprop op #8174 fixed bp algorithm, axes definition, need some mode testing with different orders combination f,c; c,f f,f and add some checks for inputs

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

* Libnd4j: TensorMMul backprop op #8174 some checks and corrections added tests, exists the problem with different input orders support A-f B-c and A-f B-f

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

* Libnd4j: TensorMMul backprop op #8174 sync master

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

* - correct bug in MmulHelper::tensorDot(a, b, c, axes_a, axes_b,permutForC)

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

* Libnd4j: TensorMMul backprop op #8174 code clean up and refactoring

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

* - add check for linspase ordered permutations in ShapeUtils::evalShapeForTensorDot

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

* - provide additional code in shape::reshape stuff in order to reduce amount of allocation/copy operations during reshaping procedure

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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

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

* - correct bug in transform cuda native ops

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

* - correct bug in NDArray::assign

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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

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

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

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

Co-authored-by: Oleh <oleg.semeniv@gmail.com>
2020-02-13 20:33:54 +03:00
Yurii Shyrma 5d9b2a16e5 Shyrma temp (#131)
* - specifying template instantiation for certain types in float16 and bloat16

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

* - polishing bfloat16 and float16 member functions template specialization

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* - rewrite and overload array +-*/ scalar and scalar +-*/ arr in NDAray class

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

* - make corrections which have to do with and rvalue lvalue conversions

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* - provide move semantic in NDArray operators array +-/* array

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* float16/bfloat16 tweaks

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* one more tweak

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* - make float16 and bfloat16 to compile successfully on cuda

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* - do not use resources of view-like arrays when move semantics is applied

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* - get rid of pointers in signatures NDArray methods 1

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* - correction of signature of NDArray::dup method

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* - correction of signature of NDArray::reduceAlongDimension method

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* - signature correction of NDArray::applyIndexReduce and applyTrueBroadcast methods

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* - signature correction of NDArray::applyReduce3 and varianceAlongDimension methods

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* - signature correction of NDArray::tensorsAlongDimension and diagonal methods

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* - signature correction of NDArray::allTensorsAlongDimension

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* - signature correction of NDArray::reduceAlongDimension 2

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* - signature correction of NDArray::applyTransform 2

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* - signature correction of NDArray::applyPairwiseTransform 2

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* - signature correction of NDArray::applyBroadcast 2

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* - signature correction of NDArray::applyTrueBroadcast 2

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* - signature correction of NDArray::applyScalar and applyScalarArr

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* - signature correction of NDArray::lambda methods

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* - signature correction of NDArray::reduce3 methods 2

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* - signature correction of following NDArray methods: add/sub/mul/div row/column and fillAsTriangular

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* - signature correction of NDArray::tileToShape methods

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* - signature correction of NDArray::isShapeSameStrict method

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* minor corrections in tests

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* - replace reduce op in batchnorm mkldnn

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* - add explicit templates instantiations for operator+(NDArray&&. const scalar)

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* - corrections of casts in float16/bfloat16

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* - provide move semantics in following NDArray methods: transform, applyTrueBroadcast, transpose, reshape, permute

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* - get rid of input array A duplicate in svd cuda op

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* - avoid available bug in svd cuda API

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* - add temporary global memory buffer in svd cuda when calcUV = false and  m != n

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* - remove test with blfoat16 type for betainC

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* - resolve conflicts after master has been merged in

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* - changed type of affected input array in fused_batch_norm

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* - add several explicit type castings

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* - add ND4J_EXPORT to operators

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* - add explicit template types in instantiations of template arithm operators of NDArray class

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* - one more test fix

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

Co-authored-by: raver119 <raver119@gmail.com>
2019-12-20 22:35:39 +03:00
raver119 4ada65b384
[WIP] MSVC-related tests fixes (#88)
* fix narrowing down cast

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* trigger jenkins

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* few more fixes for MSVC and Windows

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* few more fixes for MSVC and Windows

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* few more fixes for MSVC and Windows

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* few more fixes for MSVC and Windows

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* few more tweaks

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* few more tweaks

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* few more tweaks

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* few more tweaks

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* few more tweaks

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* - few more tweaks
- tensormmul dtype validation

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* - few more tweaks
- batched gemm dtype validation

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* - few more tweaks

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* - few more tweaks

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* - few more tweaks

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* - few more tweaks

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2019-11-30 16:02:07 +03:00
raver119 6de00bf75f
[WIP] Weekly update of repo (#8390)
* [WIP] Fix compilation after nd4j changes (#37)

* Fix compilation.

* Some tests fixed

* Disable tests temporarily.

* Restored test

* Tests restored.

* Test restored.

* [WIP] perf tests (#40)

* special maxpool test

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* special maxpool test

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* Shyrma bnorm bp (#41)

Batchnorm backprop mkldnn

* Add SameDiff memory reuse memory manager (array cache) (#39)

* Attention op comments

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* ArrayCacheMemoryMgr - first pass

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* Tweak array cache for use with SameDiff identity arrays

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* ArrayCacheMemoryMgr javadoc and properly get max memory

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* LRU cache policy + add tests

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* Fixes

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* Resize arrays internally if required for ArrayCacheMemoryMgr

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* Test improvement

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* Small polish

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* SameDiff op runtime benchmarking listener (#42)

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* INLINE_LOOPS for windows

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* [WIP] ThreadPool (#8)

This PR removes OpenMP use in 95% of cases
2019-11-13 17:15:18 +03:00
raver119 3c4e959e21 [WIP] More of CUDA (#95)
* initial commit

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* 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

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

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* 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

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* Added test for concat.

* comment unnecessary stuff in s_t_b

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* 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...)

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* - debugging and fixing cuda tests in JavaInteropTests file

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* - correct some tests

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* 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

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* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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* 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

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* Fixed axpy op.

* meh

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* - fix tests for nativeOps::concat

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* 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

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* 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

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* 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

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* - some tests fixes

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* - correct the rest of reduce_ stuff

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* - further correction of reduce_ stuff

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

* - improve code of stack operation for scalar case

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* - provide cuda kernel for gatherND operation

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* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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* minor tests tweaks

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* - further correction of cuda stuff

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

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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* 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

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

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* lstmBlockCell context fix

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* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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* 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

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* 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

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* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

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2019-08-05 11:27:05 +10:00
raver119 c969b724bb [WIP] more CUDA stuff (#57)
* initial commit

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* Added gradcheck test for dynamic_partition_bp op.

* - implementation of dilation op (cpu and cuda)

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* Fixed broadcast_dynamic_shape 1D case and tests.

* Fixed usage of default integer arguments.

* Fixed dynamic_partition_bp op and tests.

* Eliminated test with grad check for dynamic_partition_bp op.

* start working on cuda svd - porting available corresponding api from cuSOLVER library

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* provide prelu_bp

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* - provide gruCell_bp (old version ??)

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* - polishing cumsum_bp and cumprod_bp tests

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* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad

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* Fixed atomicMul with float input/output

* implementation of cuda kernel for triu_bp operation

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* Refactored lup helper to add parrallel computing.

* cusolver libraries

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* uncomment cuSolver APIs in svd.cu

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* cusolver var

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* - further work on cuSolver svd

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* Implement usage of cuda solver to LUP decomposition.

* - correct naames in lup functions

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* correct svdQR cuda

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* - provide transpositions of input matrices in case of c order in svdCudaQR

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* Fixed implementation issues with LUP usign cuda solver.

* Implementation of matrix_determinant helper with cuda kernels. Working revision.

* Implemented log_matrix_determinant helper with cuda kernels.

* - implementation of batched cuda svd

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* Refactored cholesky helper and implementation of cuda solver cholesky batch.

* - implementation of cuda kernel for tile bp

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* Implementation of cholesky and logdet with cuda kernels.

* - implementation of cuda kernel for sru_bidirectional

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* Fixed cholesky helper.

* Cholesky op helper implementation. Working double-based cublas implementation.

* bad import excluded

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* Finished with cuda implementation of cholesky helper and tests.

* - implementation of cuda kernel for sru_bidirectional_backprop operation

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* Implementation of matrix_inverse op helper with cuda kernels. The first revision.

* - start working on gruCell_bp

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* Implementation of matrix_inverse helper.

* - further work on new gruCell_bp

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* cuBLAS related fixes

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* calculateOutputShapes() now passes device buffers as well

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* special concat/average/accumulate init host pointers now

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* few more tweaks

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* additional CudaDataBufferFactory signatures certain for data types

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* cuSolver host buffer

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* buffer to buffer memcpy host ptr allocation

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2019-07-20 23:05:21 +10:00
skymindops b5f0ec072f Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00