* - provide correct possible output types in mergeMaxIndex op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - cleaning up the unneeded backprop arg in reverse_bp op
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* - improve clipByNorm both ff and bp
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* - implementation and testing clipByAvgNorm_bp op
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* - pass biases in any way in dnnl lstm op, they are zeros when user doesn't provide them to us
Signed-off-by: Yurii <iuriish@yahoo.com>
* - start working on mkldnn concat op
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* - further work on mkldnn concat
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* missing declaration fix
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* - polishing mkl ops
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* - testing and fixing bugs in mkl concat op
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* - fix linkage error for windows cuda build
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* - further conflicts resolving with master
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* - fix format tags in mkldnn matmul op
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* - provide additional type cast in clip.cu
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* - finally bug in mkldnn tanh_bp was caught
Co-authored-by: raver119@gmail.com <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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* initial commit
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* - one more test for OneHot with dtype
- one more signature in Nd4j
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* ones_as/zeros_as now accept dtype
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* one more test
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* - more updates for configurable data types
- ones_as/zeros_as java side + tests
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* few c++ tests fixed
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* few more changes around DArgs
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* - implementation of cudnn batchnorm_bp op
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* - testing and fixing bugs in batchnorm_bp based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - move pooling mkl code and delete some unnecessary files
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* - implementation and testing cudnn pooling2d ops (avg/max, ff/bp)
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* - implementation and testing cudnn pooling 3d (ff/bp) ops
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* - provide ff step in case of cudnn maxpool3d_bp op
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* - remove half type from set of supported types in mkl dpethwise conv op
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* - bring back cudaStreamSynchronize in batchnorm and pooling cudnn ops
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Co-authored-by: raver119 <raver119@gmail.com>
* - specifying template instantiation for certain types in float16 and bloat16
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* - polishing bfloat16 and float16 member functions template specialization
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* - rewrite and overload array +-*/ scalar and scalar +-*/ arr in NDAray class
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* - 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
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Co-authored-by: raver119 <raver119@gmail.com>
* 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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