1. 10 2月, 2018 1 次提交
  2. 26 12月, 2017 1 次提交
  3. 12 12月, 2017 1 次提交
    • Q
      Refine device context (#6433) · 61ec0b95
      QI JUN 提交于
      There are mainly following fixes:
      
      - take `DeviceContext` as the template parameter of math functors and OpKernel instead of `Place`
      - remove `eigen_device` interface in base class  `DeviceContext`
      - remove `GetEigenDevice` interface in `ExecutionContext` and base class `DeviceContext`
      - remove unused `platform::EigenDeviceConverter`
      - rename `REGISTER_OP_GPU_KERNEL` to `REGISTER_OP_CUDA_KERNEL`
      - rename `USE_GPU_ONLY_OP` to `USE_CUDA_ONLY_OP`
      61ec0b95
  4. 18 11月, 2017 1 次提交
  5. 15 11月, 2017 1 次提交
  6. 08 11月, 2017 1 次提交
  7. 06 11月, 2017 1 次提交
    • Y
      Feature/lod tensor array (#5379) · 2be4c3cb
      Yu Yang 提交于
      * Use stable_sort in lod_rank_table
      
      It is easy to debug and test when use `stable_sort`and the time
      complexity is not changed.
      
      * Add LoDTensorArray
      2be4c3cb
  8. 17 10月, 2017 1 次提交
    • Y
      Rewrite feed/fetch op (#4815) · 4df6cf4d
      Yu Yang 提交于
      * Feed/Fetch op just plain operator, not a OpWithKernel
      * Do not register OpInfoMaker since Feed/Fetch will never be
        configured by users
      * Feed/Fetch op has empty gradient
      * Feed/Fetch op do not hard code `feed_variable`, `fetch_variable` as
        its input and output, make it as a plain Operator input/output
      4df6cf4d
  9. 28 9月, 2017 1 次提交
  10. 27 9月, 2017 1 次提交
  11. 25 7月, 2017 1 次提交
  12. 17 7月, 2017 2 次提交
  13. 11 7月, 2017 2 次提交
  14. 06 7月, 2017 2 次提交
  15. 05 7月, 2017 1 次提交
  16. 04 7月, 2017 4 次提交
  17. 03 7月, 2017 1 次提交
  18. 28 6月, 2017 2 次提交