* Fix interpreter for libnd4j tests and drop test script
* Remove mingw when specifying javacpp.platform, add new profile that triggers when javacpp.platform is windows-x86_64
* Update android 32 bit toolchain for x86
* Try triple instead of -target
* Change to -target
* Update 32 bit arm
* Change android bin path
* Update arm 32 bit build again
Co-authored-by: Adam Gibson <1144306+agibsonccc@users.noreply.github.com>
* Fix cmake detection in msys
* Fix toolchain file on windows
* Make android 64 bit work
* Fix libnd4j build script on msys
* Update build script for windows/linux
* Encoding issue for ci
* Update pom.xml
* Update pom.xml
* Update pom.xml
* Remove mingw
* Ensure android x86 builds are inline with arm builds
* Update toolchains and env variables for x86
* Move profile for build program up to parent
* Fix blas vendor and add comment
* Update cuda presets version
* Set default value and move properties back to child pom
* Change program from hard coded to use the script as the program
* Update pom.xml
* Update pom.xml
* Static lib fix
* Update static lib output
* Get rid of old comments
* Update static for buiding
* 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 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>
Serhii Shepel
Adam Gibson
raver119
Abdelrauf
Samuel Audet
skymindops