09a827fb6d
Fixes and pre-release QA ( #51 )
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* #8395 Keras import - support scaled identity weight init
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More Keras scaled weight init fixes
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* #8352 Deprecate duplicate SamplingDataSetIterator class
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* Remove /O2 optimization for faster CUDA build
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tweak regression test precision for CUDA
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix edge cases for buffer creation
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update MKLDNN validation tests to new helper enable/disable settings
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Delete debugging class
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* MKLDNN test - add proper skip for CUDA backend
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Align WeightInitUtil with weight init classes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for SameDiff test layers weight init when using IWeightInit classes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-16 17:04:29 +11:00
48df1acdfb
[WIP] ThreadPool ( #8 )
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This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
f05c6ee139
INLINE_LOOPS for windows
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Signed-off-by: raver119 <raver119@gmail.com>
2019-11-12 15:12:31 +03:00
0cdb5750e0
Shyrma concat ( #24 )
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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
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for deconv2d op based on mkl dnn api
* no unsafe math
Signed-off-by: raver119 <raver119@gmail.com>
* no unsafe math
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* - get rid of e<> and p<> methods in svd helper
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide mkl api support for deconvolution 3d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write deconv2d_bp based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write deconv3d_bp based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing deconv based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove dilation form conv2d/3d mkl
Signed-off-by: Yurii <iuriish@yahoo.com>
* - minor changes
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further corrections of deconv ops based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide deconv2d_tf based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add minor corrections required by reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-03 12:37:19 +02:00
98e2814879
Platform helpers ( #8216 )
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* platform helpers draft
Signed-off-by: raver119 <raver119@gmail.com>
* typo
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* disable platform cmake
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* another draft
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* mkldnn convolution refactored
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* minor tweaks
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* one more safety check
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* prototype works
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* meh
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* force static library mode for mkldnn
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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware
Signed-off-by: raver119 <raver119@gmail.com>
* bunch of small fixes
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* declare concurrent
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update
Signed-off-by: raver119 <raver119@gmail.com>
* - avgpool2d_bp/maxpool2d_bp APIs update
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* - conv2d/batchnorm APIs update
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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update
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* all ops converted to MKLDNN 1.x
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* bunch of tweaks
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* namespace for platform helpers
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* make sure platform helpers aren't opimized out
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* build cpu_features on x86 systems
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* build cpu_features on x86 systems
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* more of cpu_features
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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory
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* F16C definition renamed
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* some mkldnn rearrangements
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* check supported instructions before doing anything
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* typo
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* missied impl
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* BUILD_PIC option
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* conv2d fix
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* avgpool3d fix
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* avgpool3d_bp fix
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* avgpool2d_bp leak fix
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* avgpool3d_bp leak fix
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* maxpool bp leaks fixed
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* printf removed
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* batchnorm fix
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* AVX warning/error polishing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix
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* More polish
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* Polish
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* remove previous MKL-DNN support layer
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* avx2 tweak
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* allow static for apple
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* exclude mkldnn in one more place
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* exclude mkldnn in one more place
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* restore OPENBLAS_PATH use
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* add runtime check for avx/avx2 support
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* convolution_auto
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* Add logic for helper argument
* minor test fix
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* few tweaks
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* few tweaks
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* skip OpTracker props for non-x86 builds
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* linux arm isn't x86 :)
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* avx-512
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* CUDA presets fix
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* BUILD_PIC
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* prefetchw for avx2
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* BUILD_PIC again
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2019-09-11 21:50:28 +03:00
b5f0ec072f
Eclipse Migration Initial Commit
2019-06-06 15:21:15 +03:00
Alex Black
raver119
Yurii Shyrma
skymindops