25b3cd9b80
[WIP] CUDA tests ( #95 )
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* one more CI test
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* export additional symbols
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* few more tweaks
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* one more tweak for linux
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* fix dtype in few tests
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* missing sync and memset in couple of tests
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* copy step for libnd4j cuda
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* no-op on empty for adjust hue/contrast/saturation
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* CUDA_VERBOSE Off
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* BroadcastBool fix + few tests
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* trigger jenkins
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* trigger jenkins
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* - ignore couple of warnings
- remove redundant compiler options
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2019-12-02 21:37:21 +03:00
59e955cedc
- MKL-DNN version upgrade to 1.1.x ( #62 )
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- MKL-DNN namespace changes to match DNNL rename
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2019-11-20 13:23:08 +03:00
09a827fb6d
Fixes and pre-release QA ( #51 )
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* #8395 Keras import - support scaled identity weight init
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* 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
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* Tweak regression test precision for CUDA
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* Fix edge cases for buffer creation
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* Update MKLDNN validation tests to new helper enable/disable settings
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* Delete debugging class
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* MKLDNN test - add proper skip for CUDA backend
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* Align WeightInitUtil with weight init classes
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* Fix for SameDiff test layers weight init when using IWeightInit classes
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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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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
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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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2019-11-03 12:37:19 +02:00
98e2814879
Platform helpers ( #8216 )
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* platform helpers draft
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* 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
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* bunch of small fixes
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* declare concurrent
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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update
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* - 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
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* 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
raver119
Alex Black
Yurii Shyrma
skymindops