1. 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
  2. 28 3月, 2019 1 次提交
    • C
      Fix the interface of Pass::Apply (#16484) · ed61d67c
      chengduo 提交于
      * modify the interface of Pass::Allay
      test=develop
      
      * Polish code
      test=develop
      
      * Fix Travis CI
      test=develop
      
      * fix Pass::Apply interface
      test=develop
      
      * Fix Travis CI
      test=develop
      ed61d67c
  3. 26 2月, 2019 1 次提交
  4. 29 1月, 2019 1 次提交
  5. 10 12月, 2018 1 次提交
  6. 08 12月, 2018 1 次提交
  7. 03 12月, 2018 1 次提交
  8. 29 11月, 2018 1 次提交
  9. 26 11月, 2018 1 次提交
  10. 08 11月, 2018 1 次提交
  11. 19 10月, 2018 1 次提交
  12. 16 10月, 2018 1 次提交
  13. 14 10月, 2018 1 次提交
  14. 19 9月, 2018 1 次提交
  15. 02 9月, 2018 1 次提交
  16. 30 8月, 2018 1 次提交
  17. 25 8月, 2018 1 次提交
  18. 23 8月, 2018 1 次提交
    • W
      Resovle multi gpu async deps (#12828) · b8da70c3
      Wu Yi 提交于
      * dist transpiler add control dependency var between send and recv
      
      * fix async deps
      
      * follow comments and refine
      
      * fix deps connect for rpc ops
      b8da70c3
  19. 22 7月, 2018 1 次提交
  20. 18 7月, 2018 2 次提交
  21. 12 2月, 2018 1 次提交
  22. 10 2月, 2018 2 次提交
  23. 24 11月, 2017 1 次提交
  24. 13 10月, 2017 1 次提交
  25. 15 9月, 2017 1 次提交
  26. 25 5月, 2017 1 次提交
  27. 09 12月, 2016 1 次提交
  28. 29 8月, 2016 1 次提交