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. 27 10月, 2017 1 次提交
    • Y
      Gradient check use graph (#5027) · be00b0c4
      Yu Yang 提交于
      * Simplize Gradient Check
      
      * Stash
      
      * Extract apply_backward_pass to backward.py
      
      Rename apply_backward_pass to append_backward_ops
      
      * Use graph API to check gradient
      
      * Fix ci
      
      * Fix CI
      
      * Fix backward for double precision
      
      * Stash
      
      * Fix CI
      
      * Fix ci
      
      * Ignore GRU test
      
      * Ignore xe op
      
      * Fix CI
      
      * Fix softmax with xe gradient
      
      The correct equation should be IG = OG * (d_softmax_with_xe())
      
      * Fix typo
      
      * Fix merge error
      
      * Disable LRN
      be00b0c4
  5. 09 10月, 2017 1 次提交
  6. 06 10月, 2017 2 次提交
  7. 29 9月, 2017 3 次提交
  8. 14 9月, 2017 3 次提交
  9. 13 9月, 2017 1 次提交
  10. 08 8月, 2017 1 次提交
  11. 07 8月, 2017 1 次提交
  12. 04 8月, 2017 1 次提交
  13. 02 8月, 2017 1 次提交
  14. 31 7月, 2017 1 次提交
  15. 25 7月, 2017 1 次提交
  16. 19 7月, 2017 1 次提交
  17. 18 7月, 2017 1 次提交
  18. 17 7月, 2017 1 次提交