* one simple test
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* fix
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* hmmmm...
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* mkl matmul skip tweaks
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* minor fix for MemoryTracker
* long shapes in matmul
* - 2 new tests for mkldnn tanh
- mkldnn isn't used for scalar tanh
* libnd4j first step of mkldnn for xw_plus_b and test of aurora crash in imageHelper
* libnd4j sync folders with master
* libnd4j merge master, raw implementation of xw_plus_b on mkldnn, clean up, need testing and adding checks for corresponded input shapes
* libnd4j corrections and checks added to xw_plus_b mkl
* libnd4j corrected dataType description based on mkl operation description, need more investigation
* libnd4j fixe xw_blus_b mkl implementation, need testing
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* libnd4j two unit tests added
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* libnd4j fixed check input dimensions bug
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* libndj4 one more test added to cover different order handling
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* libnd4j added optional int arg support to define weights format, if arg == 1, mkldnn (do not need transpose in mkldnn implementation), else mmul weights format, corrected check points, added unit test
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* libnd4j merge master
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* libnd4j some improvements to avoid NDArray transpose in xw_plus_b operation
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* libnd4j fixed issues connected with weights rank, also added support of one case based on tf (for mkldnn, cpu, cuda), test case added
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* libnd4j added proper handling of empty inputs (all implementations)
* libnd4j fixed compilation error
* libnd4j several more corrections after conflict solve and fixed typos
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* libnd4j removed unsupported data types
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* libnd4j merge master and fixed issues
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* libnd4j added propagation implementation for xw_plus_b, fixed issue connected with mkl weights data format, avoided data copy in transpose mode, test cases added, manually tested with gradCheck
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* libnd4j one minor fix of double operation declaration
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* libnd4j code clean up
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* libnd4j minor tests fixes
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* libnd4j fixed build problem, integrate helpers changes
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* libnd4j first step of tanh_bp operation implementation on mkldnn
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* libnd4j optimize several places and added test case for tanh_bp
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* libnd4j minor corrections and renaming, added one more test case
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* libnd4j missed mkldnn data format definition
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* libnd4j mkldnn softmax_bp operation implementation and integration, 2 tests added, need some refactoring and code clean up and more testing with different input shapes
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* libnd4j softmax_bp update, code refactoring, etc
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* libnd4j merge master, fixed typos, minor tweaks, code clean up
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* libnd4j integrate mkldnnUtils helpers in other mkldnn operations
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* libnd4j first step of softmax mkldnn implementation
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* libnd4j raw implementation of mkldnn softmax
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* libnd4j merge master and added softmax to MklDnnTests
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* libnd4j some corrections for softmax mkldnn
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* libnd4j merge branch, fixed problem with negative axis, fixed dnnl::memory::format_tag selection, test cases added
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* libnd4j minor corrections to avoid risk connected with negative axis usage
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* libnd4j fixed windows builds, added switcher to use mkldnn sofmax version only for 3D, 4D, 5D, 6D arrays
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* libnd4j fixed dataType selection per request
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* libnd4j fix for mac and windows builds
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* libnd4j builds fix
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* libnd4j first spet of elementwize tanh implementation on mkldnn
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* libnd4j fixed typo in error message for softmax MKLDNN, test case added, implementation of tanh on MKLDNN, need supported DataType testing
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* libnd4j several fixes for tanh and temporary performance test added
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* libnd4j fixed mkldnn platform loader for tanh
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* libnd4j MklDnn tanh removed unsupported data types, removed performance test case, added more appropriate equivalence test case, code clean up
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* libnd4j fixed problem with empty input case for MklDnn tanh and softmax
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* 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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* - provide matmul code based on mkl api
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* - correct typo in mkl matmul op
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* - 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
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* 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>
* - write code for new batchnorm backprop
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* - testing batchnorm backprop
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* - write code for batchnorm backprop based on mkl dnn api
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* - testing and fixing bugs in batchnorm_bp mkl dnn
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* - made corrections required by reviewer
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* - change name in java wrapper for batchnorm op
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raver119
Oleh
Yurii Shyrma