1. 28 8月, 2019 1 次提交
  2. 27 8月, 2019 2 次提交
  3. 20 8月, 2019 2 次提交
  4. 19 8月, 2019 1 次提交
  5. 16 8月, 2019 2 次提交
  6. 15 8月, 2019 1 次提交
  7. 12 8月, 2019 2 次提交
  8. 09 8月, 2019 1 次提交
  9. 05 8月, 2019 1 次提交
    • L
      fix warpctc.dll not found issue (#18761) · a43a763b
      liuwei1031 提交于
      * fix warpctc.dll not found issue, test=develop
      
      * revert the linux platform change, test=develop
      
      * delete warpctc_lib_path.h.in, test=develop
      
      * add SetPySitePackagePath function
      
      * fix warpctc.dylib not found issue on Mac, test=develop
      
      * improve the paddle lib path setting logic, test=develop
      
      * fix mac ci issue caused by test_warpctc_op unittest, test=develop
      
      * tweak code, test=develop
      a43a763b
  10. 01 8月, 2019 2 次提交
  11. 31 7月, 2019 1 次提交
  12. 30 7月, 2019 1 次提交
  13. 29 7月, 2019 1 次提交
  14. 27 7月, 2019 1 次提交
  15. 25 7月, 2019 1 次提交
  16. 23 7月, 2019 2 次提交
  17. 19 7月, 2019 1 次提交
  18. 18 7月, 2019 2 次提交
  19. 16 7月, 2019 2 次提交
  20. 11 7月, 2019 2 次提交
  21. 10 7月, 2019 2 次提交
  22. 09 7月, 2019 2 次提交
  23. 08 7月, 2019 1 次提交
    • T
      add mkldnn shapeblob cache clear strategy (#18513) · fe32879d
      Tao Luo 提交于
      * add mkldnn shapeblob cache clear strategy
      
      test=develop
      
      * refine with comments
      
      test=develop
      
      * make cache clear strategy more safey
      
      test=develop
      
      * add lock for GetShapeBlobSize
      
      test=develop
      fe32879d
  24. 04 7月, 2019 1 次提交
  25. 03 7月, 2019 1 次提交
  26. 02 7月, 2019 2 次提交
    • L
      rename mkldnn set/get_cur_thread_id() to set/get_cur_mkldnn_session_id() (#18453) · 8f5fffca
      Leo Zhao 提交于
      * rename mkldnn set/get_cur_thread_id() to set/get_cur_mkldnn_session_id()
      
      test=develop
      
      * update session id definition and adjust logic for default behavior
      
      test=develop
      
      * reset logic in mkldnn reuse as most of cases work in default.
      
      test=develop
      8f5fffca
    • Y
      supports collective training with programs (#18392) · a873fa84
      Yi Liu 提交于
      1. Since allreduce op has 4 reduce types, We split these four reduce types into four ops
      2. We also refined the collective op code, e.g. we separated the collective op kernel into CPUKernel and CUDAKernel, and remove the device specified DeviceContext parameter in template as we already knew the target DeviceContext
      3. We remove the newly added Collective op role to reduce the complexity of program and graph analysis
      a873fa84
  27. 01 7月, 2019 1 次提交
  28. 28 6月, 2019 1 次提交