* - 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
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* - polishing householder sequence class
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* - polishing jacobi svd class
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* - polishing svd stuff 1
Signed-off-by: Yurii <iuriish@yahoo.com>
* - 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
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* - 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
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* - 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.
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
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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.
Signed-off-by: shugeo <sgazeos@gmail.com>
* - 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
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* 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
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>
* - provide faster index2coords function for cpu
Signed-off-by: Yurii <iuriish@yahoo.com>
* - new faster index2coords function is introduced into cpu code
Signed-off-by: Yurii <iuriish@yahoo.com>
* - replace long long coordinates with int coordinates
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add missed reload of coords2index function
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* - reststart jenkins
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* - rollback changes in convolutions.cu and addBias.cu
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* - profiling TrueBroadcastHelper
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* - further improving of TrueBroadcastHelper
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further profiling of broadcast op
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* - implementation of broadcastShapeHelper which inserts unities in shapes of arrays to be broadcasted
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide additional method in ConstantShapeHelper class for deducing broadcast shapes with unities
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* - provide new NativeOps helpers for usual and true broadcast methods
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* enable bert profiler
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* - delete unnessesary tests
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Co-authored-by: raver119 <raver119@gmail.com>
* 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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* Libnd4j: TensorMMul backprop op #8174, raw implementation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 merge master and some corrections
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 algorithm update, need testing, sync with master
* Libnd4j: TensorMMul backprop op #8174 fixed incorrect B axes calculation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 optimize axes identification and fix bug of indeces overlapping, added first test. need testing with different shapes
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 some fixes and improvements need more testing
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed order of matrix multiply
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed issue of incorrect axes definition, add tests based on TF, need additional testing for case dLdC not equal 1
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed scalar case add test
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed bp algorithm, axes definition, need some mode testing with different orders combination f,c; c,f f,f and add some checks for inputs
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 some checks and corrections added tests, exists the problem with different input orders support A-f B-c and A-f B-f
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 sync master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* - correct bug in MmulHelper::tensorDot(a, b, c, axes_a, axes_b,permutForC)
Signed-off-by: Yurii <iuriish@yahoo.com>
* Libnd4j: TensorMMul backprop op #8174 code clean up and refactoring
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* - add check for linspase ordered permutations in ShapeUtils::evalShapeForTensorDot
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide additional code in shape::reshape stuff in order to reduce amount of allocation/copy operations during reshaping procedure
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on problem of wrong shape evaluation during permute/reshape procedures
Signed-off-by: Yurii <iuriish@yahoo.com>
* - still looking for bug reason in reshape/permute stuff
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct bug in transform cuda native ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct bug in NDArray::assign
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove old shape::reshape stuff
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add possibility to disable copy of old buffer to new buffer during reshape operation in NDArray class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct bug in tensorDot which had to do with wrong pointers assigments
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: Oleh <oleg.semeniv@gmail.com>
* initial commit
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* one file
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* few more includes
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* m?
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* const
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* cudnn linkage in tests
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* culibos
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* static reminder
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* platform engine tag
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* HAVE_CUDNN moved to config.h.in
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* include
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* include
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* skip cudnn handle creation if there's not cudnn
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* meh
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* target device in context
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* platform engines
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* platform engines
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* allow multiple -h args
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* allow multiple -h args
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* move mkldnn out of CPU block
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* link to mkldnn on cuda
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* less prints
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* minor tweaks
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* next step
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* conv2d NCHW draft
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* conv2d biasAdd
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* test for MKL/CUDNN combined use
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* - provide additional code for conv2d ff based on cudnn api, not tested yet
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on conv2d helper based on using cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - fixing several cuda bugs which appeared after cudnn lib had been started to use
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementation of conv2d backprop op based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementaion of conv3d and conv3d_bp ops based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - bugs fixing in conv3d/conv3d_bp ops (cudnn in use)
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementation of depthwiseConv2d (ff/bp) op based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementation of batchnorm ff op based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - disable cudnn batchnorm temporary
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add minor change in cmake
Signed-off-by: Yurii <iuriish@yahoo.com>
* engine for depthwise mkldnn
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* couple of includes
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* - provide permutation to cudnn batchnorm ff when format is NHWC
Signed-off-by: Yurii <iuriish@yahoo.com>
* lgamma fix
Signed-off-by: raver119 <raver119@gmail.com>
* - eliminate memory leak in two tests
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
* Added comments to tileKernel routine.
* Refactored kernel and added doc to it.
* Refactored setDiagonal kernel and added doc for it.
* Added doc for tnse cuda helpers.
* Added doc for diag kernels.
* Added doc for kernel.
* Refactored code with fake quantization.
* Added docs for image resize and crop kernels.
* Added docs for image suppression helpers.
* Added docs to matrix_band helpers.
* Added docs for matrix_diag_part and nth_element helpers.
* Fixed syntax error and refactored getIndexOffset usage.
* - profiling bias_add op
- add some docementation
Signed-off-by: Yurii <yurii@skymind.io>
* - minor change
Signed-off-by: Yurii <yurii@skymind.io>
* - provide addBias cuda kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - improve shape::getIndexOfffset and change its signature
Signed-off-by: Yurii <yurii@skymind.io>
* - same as previous
Signed-off-by: Yurii <yurii@skymind.io>
* - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements
Signed-off-by: Yurii <yurii@skymind.io>
* - minor changes in flatten
Signed-off-by: Yurii <shyrma@skymind.io>
* - add function shape::getIndexOffsetOrdered
Signed-off-by: Yurii <shyrma@skymind.io>
* - correct shape::getIndexOffsetOrdered()
Signed-off-by: Yurii <shyrma@skymind.io>
* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function
Signed-off-by: Yurii <shyrma@skymind.io>
* CUDA empty reduction
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* - listdiff synchronization fix for CUDA
- listdiff test
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* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output
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* Refactored extract_image_patches op helpers.
* Eliminated compliler errors with helper implementation.
* Finished implementation for extract_image_patches both cpu and cuda helpers.
* Improved cpu implementation.
* Improved cuda implementation for extract_image_patches helper.
* Added omp to ClipByGlobalNorm helpers implementation.
* Added implementation for thresholedrelu_bp op.
* Fixed cuda kernel with F order.
* Fixed tests for subarray.
* Refactored tests for Gaussian_3 and Truncated_22.
* Added tests for GaussianDistribution with native ops.
* Modified tests for Gaussian distribution.
* Fixed random tests.
* Fixed atomicMin/atomicMax for 64bit cases.
* Fixed tests for execReduce3TAD tests.
* Eliminated waste comments.
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* Implementation of hashcode cuda helper. Working edition.
* Fixed parallel test input arangements.
* Fixed tests for hashcode op.
* Fixed shape calculation for image:crop_and_resize op and test.
* NativeOps tests. Initial test suite.
* Added tests for indexReduce methods.
* Added test on execBroadcast with NDArray as dimensions.
* Added test on execBroadcastBool with NDArray as dimensions.
* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.
* Added tests for execReduce with scalar results.
* Added reduce tests for non-empty dims array.
* Added tests for reduce3.
* Added tests for execScalar.
* Added tests for execSummaryStats.
* - provide cpu/cuda code for batch_to_space
- testing it
Signed-off-by: Yurii <yurii@skymind.io>
* - remove old test for batch_to_space (had wrong format and numbers were not checked)
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed complilation errors with test.
* Added test for execTransformFloat.
* Added test for execTransformSame.
* Added test for execTransformBool.
* Added test for execTransformStrict.
* Added tests for execScalar/execScalarBool with TADs.
* Added test for flatten.
* - provide cpu/cuda code for space_to_Batch operaion
Signed-off-by: Yurii <yurii@skymind.io>
* Added test for concat.
* comment unnecessary stuff in s_t_b
Signed-off-by: Yurii <yurii@skymind.io>
* Added test for specialConcat.
* Added tests for memcpy/set routines.
* Fixed pullRow cuda test.
* Added pullRow test.
* Added average test.
* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)
Signed-off-by: Yurii <yurii@skymind.io>
* - debugging and fixing cuda tests in JavaInteropTests file
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* - correct some tests
Signed-off-by: Yurii <yurii@skymind.io>
* Added test for shuffle.
* Fixed ops declarations.
* Restored omp and added shuffle test.
* Added convertTypes test.
* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.
* Added sort tests.
* Added tests for execCustomOp.
* - further debuging and fixing tests terminated with crash
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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
Signed-off-by: Yurii <yurii@skymind.io>
* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.
* Added kernel for tsne/symmetrized op heleper.
* Implementation of tsne/symmetrized op cuda helper. Working edition.
* Eliminated waste printfs.
* Added test for broadcastgradientargs op.
* host-only fallback for empty reduce float
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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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* 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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* Shugeo strided slice zeros (#14)
* Modified strided_slice op to properly work with empty-like shapes.
* Fixed test for reduce_mean with empty-like input.
* [WIP] Last merge (#15)
* correct logsoftmax looss (#2)
* Small SameDiff listener fix (#4)
* Various fixes (#6)
* #7839 Fix for asXMatrix and tests
* #7866 EmbeddingSequenceLayer dtype fix + test
* #7856 SameDiff save/load stream methods
* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration
* EvaluationBinary 3d/4d
* More evaluation 3d/4d tests
* #7847 Evaluation empty checks
* Small test ifx
* #7848 Fix median edge case
* Improve DL4J samediff layer tests
* [WIP] FastText wrapper implemented (#8)
* FastText implemented
* Some fixes
* Fix shapes for wordsNearest
* Validation of input vectors
* Fixes
* Fixed test
* Thread tagged
* Some tweaks
* setContextClassLoader for DeallocatorServiceThread
* Numpy format tests (#1)
* Various fixes (#11)
* #7852 SameDiff gather fix
* #7892 SameDiff placeholder to constant conversion
* #7890 validate input rank for MLN/CG init methods
* Fix broken permute shape calculation
* Permute and gather fixes
* Tests
* #7850 LogSumExp fix + test
* Handful of test fixes
* Empty arrays with non-scalar shapes (#10)
* minor rearrangements for lambdas
* empty tensors with non-scalar shapes
* numpy empty tensors with non-scalar shapes
* few more empty tweaks
* Small fixes
* conv3d signature update
* micro fix in batchnorm mkldnn
* Import fixes
* Fix
* MKL-DNN update
* Small fill fix
* fill with empty input + test
* Fixes
* Small error improvement
* Fix
* one special test
* couple of fixes for lstm
* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone
* Fixes
* FP16
* Unsigned
* BFloat16
* Fill op - empty tweaks
* - couple of fixes for empty arrays construction
- stack updated
* strided slice fix
* one transform test
* provide method for reducing shapeInfo in case of input array is empty
* Fixed reduceAlongDimensions to use empty input properly.
* couple of broadcast tests
* couple of tests broadcast tests + tweak to make them pass
* add check of non-empty to methods producing sub-arrays
* Fixed reshapeC with zeros in shape.
* complete empty check in reduce_... legacy ops
* Concat and cumsum/prod
* Tweak to empty shape inference on import
* add empty check to the rest of reduce legacy ops
* one more test
* correct typo in evalReduceShapeInfoEmpty
* Added tests for reduce_* ops to tests with zero shapes.
* few more tests for empty reductions
* Fixed strided_slice op with empty case and tests.
* one more empty reduction test
* Fixed strided_slice test.
* add empty check to NDArray::reshapei
* infOrMax
* empty min/max with infinity tests
* made unstack working correctly with empty arrays
* few IndexReduce tests + tweaks for empty shapes
* add test for empty concat
* few tests fixed
* Validation fix for reductions on empty shapes
* Reverse fix
* Reduction shape calc fixes
* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs
* Range fix
* - NDArray constructor updated for scalars/empty arrays
- few tests fixed
* More fixes
* Empty creator fixes
* concat fix
* concat fix
* TF import tests: allow 'both all NaN' and 'both all inf' to pass
* Slice, zero fraction, and reshape fixes
* transpose, gather
* Zero fraction
* scalar cast fix
* Empty reduction axis support
* few more tests fixed
* Fixed input checks conforming with TF for concat op and tests.
* few tests fixed
* matmul scalar shape fix
* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.
* broadcast bool fix
* few more tests
* few more tests
* correct evalReduceShapeInfoEmpty
* argmax/argmin + tests
* one more empty edge case + one more test
* argmax/argmin/realdiv_bp tweaks
* empty reshape test + fix
* Helper fixes
* Small fixes
* Gather test fix
* Gather test fix
* Small fixes
* reduce scalar zero values
* scalar mean workaround
* Remove debug code
* along dim mean workaround
* one more test
* - equalsTo() tweak for empty arrays
- one more test
* broadcast tweaks
* [WIP] Fixing outstanding issues for NLP (#9)
* Avoid using not-inited objects
* Test fixed.
* Redundant method avoided for models like FastText
* KMeans++ implementation
* KMeans++ implementation
* Disable parallel execution
* KMeans++
* Tests
* Dev branch merge (#16)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Fix some issues on master (#17)
* Fix DataVec test issue
* Fix issue with dl4j SameDiff output layer
* Dtype fix for lambda layers
* #7912 BertIterator dtype fix (use float32 not global default)
* [WIP] Next set of CUDA stuff (#7)
New CUDA implementations and improvements
* bad file
* Dev branch master merge (#23)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Compatibility of deserialization (#18)
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff: add activation gradient checking support for debugging (#19)
* SameDiff gradient checker: first pass on activation gradient checks
* Fixes + tests for activation gradient checking
* Javadoc
* [WIP] Some nd4j data type corrections (#20)
* Adjust data type
* Set correct Data type.
* Size of proper data type.
* fix averaged cpu load (#22)
* SameDiff ops, TF import and fixes (#24)
* CheckNumerics tests + fixes + misc fixes
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* Fake quant
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* Fixes
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* FakeQuantWithMinMaxArgs
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* CheckNumerics fix
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* Fix libnd4j ALL_INTS and ALL_FLOATS declaration (uint and bfloat types)
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* Small fix
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* Javadoc
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* Exception tweak
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* fix
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* Fix for out of scope stack allocated var use
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* Ignores
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* Ignore for known failing test (already logged issue)
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* Merge upstream to fork (#25)
* Add thousand-separator commas to TotalParams (#7915)
* Add thousand-separator commas to TotalParams
The number of parameters can be quite large, and it would help the reading of the summary printout to have the TotalParams column & values at the bottom have thousand-separator-commas in them.
* Add thousand-separator commas to MultiLayerNetwork
Corresponding change to MultiLayerNetwork
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* Update contributing and issue/PR templates (#7934)
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* Fix link to AdaDelta paper (#7942)
Fix link to AdaDelta paper hosted on matthewzeiler.com
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* Fixes, and ignores for known/logged failing issues (#7943)
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* SameDiff + DL4J/SameDiff: Multiple fixes (#28)
* #7919 HDF5 attribute buffer length fix
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* #7909 Arbiter constructor exception ux improvements
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* #7925 RNN output layer length checks
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* #7939 Add listener for validating inputs are not incorrectly modified
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* #7939 Integrate NonInplaceValidationListener into tests
* #7844 DL4J SameDiff fixes for variable minibatch size
* DL4J SameDiff fixes - ensure gradient for input placeholder is available
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* Tweaks to ExternalErrorsFunction - use placeholders, make more robust
* Another fix
* More fixes
* More SameDiff/DL4J fixes
* Scope out scalar array creation in BaseScalarOp
* Remove debug code
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* [WIP] Final dev branch merge (#29)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Compatibility of deserialization (#18)
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff: add activation gradient checking support for debugging (#19)
* SameDiff gradient checker: first pass on activation gradient checks
* Fixes + tests for activation gradient checking
* Javadoc
* [WIP] Some nd4j data type corrections (#20)
* Adjust data type
* Set correct Data type.
* Size of proper data type.
* fix averaged cpu load (#22)
* [WIP] Multiple dataset iterators (#27)
* Splitting dataset into arbitrary number
* Fixes
* Multiple split of iterator
* Test
* Test
* Some fixes
* signature change
* one more tweak
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* one more test for sequential use of DataSetIteratorSplitter
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* Fixes
* Fixes
* one more test for Alexander
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* Some fixes
* Some fixes
* one more test for Alexander
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* minor test fix
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* Some fixes
* Some fixes
* couple of assertions tweaked
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* MDS splitter test :/
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* Minor refactoring
* Multi dataset
* Some fixes
* More tests
* Small number of test fixes/improvements (failures on CI) (#31)
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* [WIP] More CUDA stuff (#26)
* initial commit
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* LRN BP CUDA
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* less memory
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* Fixed bug with crop_and_resize op helper.
* get rid of unnecessary index-calculation dunction
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* Fixed sort with nth_element cuda-based helper.
* Refactored nth_element.
* Refactored nth_element op and tests.
* Modified usage of dim array with sortTad routine.
* Refactored main routine of helper for non_max_image_suppression op.
* non_max_image_suppression op helper with cuda kernel implementation. Initial revision.
* fix vol2col cuda kernel
* meh
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* topK concept
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* unsorted topK with scanWitdh of 1
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* correct vol2col tests
* sorted/unsorted topK
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* implementation and fixing col2im/col2vol
* Corrected usage flags with input/output with reverse op.
* dup is const now
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* percentile op
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* group tests for mapool2d
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* special test for george
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* less threads for sortTad
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* provide conv2d for cuda
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* remove auther in sort tad kernel code
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* provide depthwise_conv2d for cuda
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* - max_pooling_with_argmax
- null check for special use
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* dts cuda
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* provide sconv2d for cuda
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* std cuda
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* Refactored non_max_suppression op to conform TF implementation.
* Improved suppression helper.
* provide pooling3d for cuda
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* minor lstm rearrangements
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* more of minor lstm rearrangements
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* (bi)dynamic_rnn
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* templates init order
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* Refactored non_max_suppression op.
* Added cuda kernel for non_max_suppression.
* CPU sort by key/value
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* CPU sort TAD by key/value
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* CPU sort TAD by key/value tests
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* Eliminate compiler error with cuda implementation.
* - repaired gradCheck in cuda
- provide conv2d_bp for cuda
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* missed signature
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* provide depthwise_conv2d_bp for cuda
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* Implementation of lup helper with cuda kernel. Initial commit.
* further work on backprops for convolutions
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* CUDA linear sort by key/val
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* CUDA tad sort by key/val
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* start providing of backprop for pooling2d/3d
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* Added atomicAdd for bool datatype.
* dynamic partition concept
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* dynamic partition concept
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* dynamic partition scalar CUDA
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* important comment
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* fix pooling2d/3d backprop helpers
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* Added non-linear test with dynamic_partition.
* Improved test for dynamic_partition.
* dynamic_partition TAD concept
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* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix
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* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d
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* dynamic_stitch CUDA vector case
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* dynamic_stitch CUDA TAD case concept
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* dynamic_stitch CUDA TAD case impl
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* Added tests for dynamic_stitch 3D-4D cases.
* minor tests tweaks
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* Fixed type check for dynamic stitch.
* min/max bp
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* rewrite code for upsampling2d/3d cpu
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* reduce min/max/norm_max bp
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* lup implementation. Additional enhancements.
* provide code for upsamling2d/3d backprop
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* weightedCrossEntropyWithLogits
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* Fixed template math atomicMul for 64bit ints.
* Refactored dynamic_partition_bp op.
* inverseBroadcast fix
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* DynamicPartitionBP test datatype fixed.
* - nd4j_atomicMul Windows fix
- cpu/NDArrayLambda.hpp excluded from CUDA
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