1. 19 9月, 2019 2 次提交
  2. 17 9月, 2019 1 次提交
  3. 14 9月, 2019 1 次提交
  4. 12 9月, 2019 1 次提交
  5. 11 9月, 2019 1 次提交
  6. 10 9月, 2019 1 次提交
  7. 04 9月, 2019 1 次提交
  8. 03 9月, 2019 1 次提交
  9. 01 9月, 2019 1 次提交
    • J
      [MKL-DNN] Refactoring Softmax (#19312) · cef95ee3
      Jacek Czaja 提交于
      * - First set of modifications
      
      - Compilation fixes
      
      - compilation fix
      
      - Another compilation fix
      
      - Moved AcquireSoftmaxPrimitiveDescriptor call into handler
      
      - MKL-DNN Softmax PD refactor
      
      test=develop
      
      - Compilation fix
      
      test=develop
      
      - another compilation fix
      
      - cosmetcis
      
      test=develop
      
      - Compilation fix
      
      - Fix to crash when softmax backward is created
      
      * - Fixes after review of softmax refactoring
      
      test=develop
      cef95ee3
  10. 30 8月, 2019 1 次提交
    • J
      [MKL-DNN] Fix to face model on AVX512 platforms (#19282) · ecd9f330
      Jacek Czaja 提交于
      - Refactor step 1
      
      - Compilation fix
      
      - Yet another compilation fix
      
      - Even more compilation fix
      
      - Lint fixes
      
      test=develop
      
      - Removed deprectaed PADDLE_ENFORCE occurance
      
      test=develop
      
      - Candidate fix to BN forward
      
      - Lint fixes
      
      test=develop
      
      - Refactoring in data_layout_transform
      
      - compilation fix
      
      - Another comppilation fix
      
      - Step further into darkness
      
      - Yet another compilation fix
      
      - Yet another compilation fix
      
      - missing header
      
      - compilation fix
      
      - Added MKLDNN -> Paddle conversion in fetch op
      
      test=develop
      
      - Compilation fix
      
      test=develop
      
      - Lint
      
      test=develop
      
      - Mul fix
      
      - Fix to MKLDNN MUL op and Elementwise MUL UT
      
      test=develop
      
      - Workaround for diffrent weights with groups representation Paddle vs
        MKL-DNN.
      
      test=develop
      
      - Candidate fix for 5D convolution with groups
      
      - Refactor of fix for conv3d and conv2d in fetch op
      
      test=develop
      
      - Compilation fix
      
      - Still same compilation fix
      
      - Compilation fix
      
      - Compilation fix
      
      - Reverted refactoring of fixes
      
      - Adapted test_conv2d_int8_mkldnn so it exects data in NCHW format
        not NHWC
      
      test=develop
      
      - minor fix in UT
      
      test=develop
      
      - Lint fixes
      
      test=develop
      ecd9f330
  11. 29 8月, 2019 1 次提交
  12. 21 8月, 2019 1 次提交
  13. 15 8月, 2019 1 次提交
  14. 12 8月, 2019 1 次提交
  15. 01 8月, 2019 1 次提交
  16. 30 7月, 2019 1 次提交
  17. 26 7月, 2019 4 次提交
  18. 25 7月, 2019 1 次提交
  19. 23 7月, 2019 1 次提交
    • J
      [MKL-DNN] Extended LRN with reusing via Acquire API (#18675) · 95c1816e
      Jacek Czaja 提交于
      test=develop
      
      - compileation fix
      
      - Yet another compilation fix
      
      - Even yet another compilation fix
      
      - Surprise! Again compilation fix
      
      - lint fixes
      
      test=develop
      
      - Fix to workspace acquire of LRN
      
      test=develop
      
      - Fix to hash of BWD LRN
      
      test=develop
      
      - fix to lrn BWD PD acquire
      
      test=develop
      
      - Fixing LRN PD creation
      
      test=develop
      
      - cosmetic fix in comment
      
      test=develop
      
      - Fixes after review
      
      test=develop
      95c1816e
  20. 22 7月, 2019 1 次提交
  21. 19 7月, 2019 1 次提交
  22. 16 7月, 2019 1 次提交
    • J
      [MKL-DNN] Reimplemented pool2d mkl-dnn to use Acquire API (#18585) · 71d883b8
      Jacek Czaja 提交于
      * - Added partial draft of pooling acquire
      
      - Workspace support
      
      - compilation fix
      
      - Added draft of pooling backward reimplementation
      
      - Segfault fix
      
      - reverted 'any' for diff_dst crewation in pooling
      
      - Lint fixes
      
      test=develop
      
      - lint fixes
      
      test=develop
      
      - Further lint fixes
      
      test=develop
      
      * - Fixes after review
      
      test=develop
      
      * - Lint fixes
      
      test=develop
      
      * - Even more lint fixes
      
      test=develop
      71d883b8
  23. 10 7月, 2019 1 次提交
  24. 09 7月, 2019 2 次提交
  25. 02 7月, 2019 1 次提交
  26. 01 7月, 2019 1 次提交
  27. 28 6月, 2019 1 次提交
  28. 13 6月, 2019 2 次提交
    • L
      refactor the function ConvFwdPrimitiveDesc (#17897) · f8ecc3de
      lidanqing 提交于
      * refractor the function ConvFwdPrimitiveDesc
      test=develop
      
      * change according to review
      test=develop
      
      * use pointer way without boost::optional
      test=develop
      
      * pass vector to function by reference instead of raw vector
      test=develop
      
      * change pointer to shared_ptr
      test=develop
      f8ecc3de
    • W
      Added unit test for QAT FP32 & INT8 comparison (#17814) · 78e93286
      Wojciech Uss 提交于
      * added unit test for QAT FP32 & INT8 comparison
      
      test=develop
      
      * enabled other models and updated filenames
      
      test=develop
      
      * added accuracy check and multiple batch handling
      
      test=develop
      
      * removed quantization_mkldnn_pass.py
      
      test=develop
      
      * cleanup
      
      test=develop
      
      * updated model paths
      
      test=develop
      
      * renamed tests without MKL-DNN
      
      test=develop
      
      * fix reusing mkldnn pool2d primitive
      
      test=develop
      
      * add performance measuring
      
      test=develop
      
      * fix accuracy statistics
      
      test=develop
      
      * removed non-mkldnn tests
      
      test=develop
      
      * added conv2d_depthwise->conv2d mkldnn transformation
      
      test=develop
      
      * format update
      
      test=develop
      
      * fixed creating key for pool2d grad
      
      test=develop
      
      * added pass
      
      * Fix the accuracy issue while using float precision to get the scale.
      
      test=develop
      
      * Fix the format issue when 'X' is not nchw.
      
      test=develop
      
      * removed output comparing and changed number of images
      
      test=develop
      
      * cmake and comment fix
      
      test=develop
      
      * updated acc threshold for QAT comparison tests
      
      test=develop
      
      * added OMP_NUM_THREADS setting
      
      test=develop
      
      * enable all QAT INT8 tests
      
      test=develop
      
      * restored upstream version of a file
      
      test=develop
      
      * modified directory names
      
      test=develop
      78e93286
  29. 11 6月, 2019 1 次提交
    • J
      [MKL-DNN] Thread-Safety for MKL-DNN reusing Part 1 (#17965) · 84bb45c0
      Jacek Czaja 提交于
      * - removed is_reusing_
      
      * - Added TID to keys for reusing apart from softmax PD
      
      * - compilation fix
      
      * - Yet another compilation fix
      
      * - Batch Norm and Conv adapted
      
      * - Fix to softmax MT
      
      * - Fixes to MT code of MKL-DNN
      
      * - Lint fixes
      
      test=develop
      84bb45c0
  30. 10 6月, 2019 1 次提交
  31. 07 6月, 2019 1 次提交
  32. 31 5月, 2019 1 次提交
  33. 28 5月, 2019 1 次提交
    • L
      Improve mobilenetv2 INT8 performance by using INT8 relu as post-op (#17570) · 04b6c29e
      lidanqing 提交于
      * add INT8 conv+relu6 fuse and enbale mobilentv2 INT8 test
      test=develop
      
      * change fasle and 0.0 to fuse_brelu and brelu_threshold
      test=develop
      
      change the "fuse_relu||fuse_brelu" to "unsigned_output"
      test=develop
      
      * Use relu instead of brelu as INT8 post-op because INT8 brelu is not enabled in mkldnn v0.18
      test=develop
      
      * continuous-integration fix
      test=develop
      04b6c29e
  34. 24 5月, 2019 1 次提交
    • M
      [MKL-DNN] Add Fully Connected Op for inference only(#15226) · 0c39b97b
      Michał Gallus 提交于
      * fuse mul and elementwise add to fc
      
      * Reimplement the FC forward operator
      
      * Fix FC MKLDNN integration by transposing weights
      
      * Add FC MKLDNN Pass
      
      test=develop
      
      * FC MKLDNN Pass: change memcpy to std::copy
      
      * Fix MKLDNN FC handling of mismatch input and weights dims
      
      * Lower tolerance for MKL-DNN in resnet50 test
      
      test=develop
      
      * Adjust FC to support MKLDNN Op placement
      
      test=develop
      
      * Adjust Placement Op to set use_mkldnn attribute for graph
      
      test=develop
      
      * MKLDNN FC: fix weights format so that gemm version is called
      
      test=develop
      
      * FC MKLDNN: Remove tolerance decrease from tester_helper
      
      * FC MKL-DNN: Refactor the code, change input reorder to weight reorder
      
      * MKL-DNN FC: Introduce operator caching
      
      test=develop
      
      * FC MKL-DNN: Fix the tensor type in ExpectedKernelType
      
      test=develop
      
      * FC MKL-DNN: fix style changes
      
      test=develop
      
      * FC MKL-DNN: fallback to native on non-supported dim sizes
      
      test=develop
      
      * FC MKLDNN: fix CMake paths
      
      test=develop
      
      * FC MKLDNN: Refine placement pass graph mkldnn attribute
      
      test=develop
      
      * Fix Transpiler error for fuse_conv_eltwise
      
      test=develop
      
      * Fix missing STL includes in files
      
      test=develop
      
      * FC MKL-DNN: Enable new output size computation
      
      Also, refine pass to comply with newest interface.
      test=develop
      
      * FC MKL-DNN: enable only when fc_mkldnn_pass is enabled
      
      * FC MKL-DNN: Allow Weights to use oi or io format
      
      * FC MKL-DNN: Adjust UT to work with correct dims
      
      test=develop
      
      * Enable MKL DEBUG for resnet50 analyzer
      
      test=develop
      
      * FC MKL-DNN: Improve Hashing function
      
      test=develop
      
      * FC MKL-DNN: Fix shape for fc weights in transpiler
      
      * FC MKL-DNN: Update input pointer in re-used fc primitive
      
      * Add log for not handling fc fuse for unsupported dims
      
      test=develop
      
      * FC MKL-DNN: Move transpose from pass to Op Kernel
      
      test=develop
      
      * FC MKL-DNN: Disable transpose in unit test
      
      test=develop
      
      * FC MKL-DNN: Remove fc_mkldnn_pass from default list
      
      * Correct Flag for fake data analyzer tests
      
      test=develop
      
      * FC MKL-DNN: Add comment about fc mkldnn pass disablement
      
      test=develop
      
      * FC MKL-DNN: Disable fc in int8 tests
      
      test=develop
      0c39b97b