* static increments in loops
Signed-off-by: raver119 <raver119@gmail.com>
* specials and concat split into separate units
Signed-off-by: raver119 <raver119@gmail.com>
* - 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
Signed-off-by: Yurii <iuriish@yahoo.com>
* - 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
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide move semantic in NDArray operators array +-/* array
Signed-off-by: Yurii <iuriish@yahoo.com>
* float16/bfloat16 tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* one more tweak
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* - make float16 and bfloat16 to compile successfully on cuda
Signed-off-by: Yurii <iuriish@yahoo.com>
* - do not use resources of view-like arrays when move semantics is applied
Signed-off-by: Yurii <iuriish@yahoo.com>
* - get rid of pointers in signatures NDArray methods 1
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correction of signature of NDArray::dup method
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correction of signature of NDArray::reduceAlongDimension method
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyIndexReduce and applyTrueBroadcast methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyReduce3 and varianceAlongDimension methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::tensorsAlongDimension and diagonal methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::allTensorsAlongDimension
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::reduceAlongDimension 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyTransform 2
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* - signature correction of NDArray::applyPairwiseTransform 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyBroadcast 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyTrueBroadcast 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyScalar and applyScalarArr
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::lambda methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::reduce3 methods 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of following NDArray methods: add/sub/mul/div row/column and fillAsTriangular
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::tileToShape methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::isShapeSameStrict method
Signed-off-by: Yurii <iuriish@yahoo.com>
* minor corrections in tests
Signed-off-by: Yurii <iuriish@yahoo.com>
* - replace reduce op in batchnorm mkldnn
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add explicit templates instantiations for operator+(NDArray&&. const scalar)
Signed-off-by: Yurii <iuriish@yahoo.com>
* - corrections of casts in float16/bfloat16
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide move semantics in following NDArray methods: transform, applyTrueBroadcast, transpose, reshape, permute
Signed-off-by: Yurii <iuriish@yahoo.com>
* - get rid of input array A duplicate in svd cuda op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - avoid available bug in svd cuda API
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add temporary global memory buffer in svd cuda when calcUV = false and m != n
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove test with blfoat16 type for betainC
Signed-off-by: Yurii <iuriish@yahoo.com>
* - resolve conflicts after master has been merged in
Signed-off-by: Yurii <iuriish@yahoo.com>
* - changed type of affected input array in fused_batch_norm
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add several explicit type castings
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add ND4J_EXPORT to operators
Signed-off-by: Yurii <iuriish@yahoo.com>
* - 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>
* - write code for new batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing batchnorm backprop
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* - 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
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* - 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>
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* Added gradcheck test for dynamic_partition_bp op.
* - implementation of dilation op (cpu and cuda)
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* provide prelu_bp
Signed-off-by: Yurii <yurii@skymind.io>
* - provide gruCell_bp (old version ??)
Signed-off-by: Yurii <yurii@skymind.io>
* - polishing cumsum_bp and cumprod_bp tests
Signed-off-by: Yurii <yurii@skymind.io>
* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed atomicMul with float input/output
* implementation of cuda kernel for triu_bp operation
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored lup helper to add parrallel computing.
* cusolver libraries
Signed-off-by: raver119 <raver119@gmail.com>
* uncomment cuSolver APIs in svd.cu
Signed-off-by: Yurii <yurii@skymind.io>
* cusolver var
Signed-off-by: raver119 <raver119@gmail.com>
* - further work on cuSolver svd
Signed-off-by: Yurii <yurii@skymind.io>
* Implement usage of cuda solver to LUP decomposition.
* - correct naames in lup functions
Signed-off-by: Yurii <yurii@skymind.io>
* correct svdQR cuda
Signed-off-by: Yurii <yurii@skymind.io>
* - provide transpositions of input matrices in case of c order in svdCudaQR
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored cholesky helper and implementation of cuda solver cholesky batch.
* - implementation of cuda kernel for tile bp
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of cholesky and logdet with cuda kernels.
* - implementation of cuda kernel for sru_bidirectional
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed cholesky helper.
* Cholesky op helper implementation. Working double-based cublas implementation.
* bad import excluded
Signed-off-by: raver119 <raver119@gmail.com>
* Finished with cuda implementation of cholesky helper and tests.
* - implementation of cuda kernel for sru_bidirectional_backprop operation
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of matrix_inverse op helper with cuda kernels. The first revision.
* - start working on gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of matrix_inverse helper.
* - further work on new gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* cuBLAS related fixes
Signed-off-by: raver119 <raver119@gmail.com>
* calculateOutputShapes() now passes device buffers as well
Signed-off-by: raver119 <raver119@gmail.com>
* special concat/average/accumulate init host pointers now
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* additional CudaDataBufferFactory signatures certain for data types
Signed-off-by: raver119 <raver119@gmail.com>
* cuSolver host buffer
Signed-off-by: raver119 <raver119@gmail.com>
* buffer to buffer memcpy host ptr allocation
Signed-off-by: raver119 <raver119@gmail.com>
raver119
Yurii Shyrma
skymindops