1. 27 2月, 2019 1 次提交
    • X
      INT8 Pool kernel Key Creation Optimization. (#15883) · 6724be2b
      xiaolil1 提交于
      * Optimize key creation of INT8 pool kernel to improve the peformance of ResNet-50 and MobileNet, especially for latency.
      test=develop
      
      * Optimize key creation of pool fp32 grad.
      test=develop
      6724be2b
  2. 25 2月, 2019 1 次提交
    • J
      [MKL-DNN] MKL-DNN specific Tensor modification (#15429) · dec9cf53
      Jacek Czaja 提交于
      * - Implemented draft of primitive desc keeping in Tensor
      
      test=develop
      
      - TransposeMKLDNNHandler::AcquireSrcMemory was reimplemented
      
      - Added nchw and nc formats setting for sake of compatiblity
      
      Fixed unit tests
      
      - Worakaround to problem with 5D data in conv
      
      - Added 3D and 1D MKL-DNN formats for name handles for tensor
      
      test=develop
      
      - Fix to UTs
      
      test=develop
      
      - Conv fp32 op was updated
      
      Cosmetic fixes
      
      test=develop
      
      - tensor mkldnn cosmetics
      
      test=develop
      
      - Moved most of mkl-dnn specific code from Tensor to mkl-dnn utils
      
      * - Lint fixes
      
      test=develop
      
      * - setting prim dec in Tensor , sets also layout to kMKLDNN
      
      test=develop
      
      * - Moved creation of prim desc totally out of Tensor
      
      test=develop
      
      * - Cosmetic fixes adter review
      
      test=develop
      dec9cf53
  3. 22 2月, 2019 1 次提交
  4. 23 1月, 2019 1 次提交
  5. 10 1月, 2019 1 次提交
    • X
      Conv int8 residual (#15145) · 8f17c714
      xiaolil1 提交于
      * Enable basic MKL-DNN INT8 Conv OP
      test=develop
      
      * Modify test case
      test=develop
      
      * Clean unittest code
      test=develop
      
      * Fix test
      test=develop
      
      * Modify test
      test=develop
      
      * Enable MKL-DNN INT8 Conv with Relu Fusion OP
      test=develop
      
      * Enable INT8 Conv with residual fusion OP
      test=develop
      
      * Modify code.
      test=develop
      
      * Modify basic INT8 Conv
      test=develop
      
      * Modify Conv.
      test=develop
      
      * fix style
      test=develop
      
      * Fix style
      test=develop
      
      * Fix test
      test=develop
      
      * Modify code.
      test=develop
      
      * Fix test
      test=develop
      8f17c714
  6. 07 1月, 2019 1 次提交
    • X
      Conv int8 relu (#15130) · c8f101e5
      xiaolil1 提交于
      * Enable basic MKL-DNN INT8 Conv OP
      test=develop
      
      * Modify test case
      test=develop
      
      * Clean unittest code
      test=develop
      
      * Fix test
      test=develop
      
      * Modify test
      test=develop
      
      * Enable MKL-DNN INT8 Conv with Relu Fusion OP
      test=develop
      
      * Modify basic INT8 Conv
      test=develop
      
      * fix type
      test=develop
      
      * Modify test
      test=develop
      c8f101e5
  7. 04 1月, 2019 1 次提交
    • X
      Enable basic MKL-DNN INT8 Conv OP (#15124) · bbc93368
      xiaolil1 提交于
      * Enable basic MKL-DNN INT8 Conv OP
      test=develop
      
      * Modify test case
      test=develop
      
      * Clean unittest code
      test=develop
      
      * Fix test
      test=develop
      
      * Modify test
      test=develop
      
      * Modify basic INT8 Conv
      test=develop
      bbc93368
  8. 24 12月, 2018 1 次提交
  9. 19 12月, 2018 1 次提交
  10. 27 11月, 2018 1 次提交
    • J
      - conv2d transpose MKL-DNN · fb24690a
      Jacek Czaja 提交于
      test=develop
      
      - Added new header for MKLDNN reuse functionality
      
      - Extended conv2d_transpose GetExpectedKernelType for MKL-DNN supporrt
      
      - Buildable conv transpose mkldnn and conv mkldnn using conv template
      
      - Conv2d transpose roughlt implemented and buildable
      
      - Added modifications conv2d transpose MKLDNN unit tests
      
      - Fix to UT of conv2d transpose mkldnn op
      
      - Wrong type of MKLDNN primitive was chosen for conv2d transpose
      
      - HAcks for conv2d transpose
      
      - UT enalbed
      
      - Replaced copying loop with memcpy
      
      - Draft of passing lambda into AcquireMemory
      
      - Made reorder (IOHW->OIHW) to be called only once
      fb24690a