* 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
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* - further work on conv2d helper based on using cudnn api
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* - fixing several cuda bugs which appeared after cudnn lib had been started to use
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* - implementation of conv2d backprop op based on cudnn api
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* - implementaion of conv3d and conv3d_bp ops based on cudnn api
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* - bugs fixing in conv3d/conv3d_bp ops (cudnn in use)
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* - implementation of depthwiseConv2d (ff/bp) op based on cudnn api
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* - implementation of batchnorm ff op based on cudnn api
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* - disable cudnn batchnorm temporary
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* - add minor change in cmake
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* 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
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* lgamma fix
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* - eliminate memory leak in two tests
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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
* - implementation of depthwise_conv2d (both ff/bp) based on mkl dnn api
* - minor corrections in deconv3d
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* - remove unnecessary time test
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* - update mkl dnn version in cmake
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* - take into account several notes given by pr reviewer
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* - fix bug in depthwise conv2d op based on mkl
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* - 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>
* - add causal mode of padding to convolutions
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* - add additional tests for causal conv1d
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* - add causal mode for cuda conv kernels
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* Java side of Conv1D changes
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* Add Conv1DDerivative op
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* Causal Conv1D gradient checks
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* Tweaks
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* - add causal padding mode to conv2d_bp
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* More thorough causal conv1d tests
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* - profiling cuda kernels for vol2col and im2col
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* - correct addBias helper
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* - correct mkl dilation formula and switch off mkl api for dilation deconvolutions
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* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case
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* - write code for deconv2d op based on mkl dnn api
* no unsafe math
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* no unsafe math
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* - get rid of e<> and p<> methods in svd helper
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* - provide mkl api support for deconvolution 3d
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* - write deconv2d_bp based on mkl api
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* - write deconv3d_bp based on mkl api
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* - testing and fixing deconv based on mkl api
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* - remove dilation form conv2d/3d mkl
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* - minor changes
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* - further corrections of deconv ops based on mkl dnn api
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* - provide deconv2d_tf based on mkl dnn api
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* - add minor corrections required by reviewer
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raver119
Yurii Shyrma
Alex Black