1. 19 4月, 2018 1 次提交
  2. 17 4月, 2018 1 次提交
  3. 12 2月, 2018 1 次提交
  4. 10 2月, 2018 2 次提交
  5. 26 12月, 2017 1 次提交
  6. 20 12月, 2017 1 次提交
  7. 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
  8. 20 11月, 2017 1 次提交
  9. 04 11月, 2017 1 次提交
  10. 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
  11. 24 10月, 2017 1 次提交
  12. 17 10月, 2017 1 次提交
  13. 12 10月, 2017 2 次提交
  14. 11 10月, 2017 1 次提交