1. 12 10月, 2020 1 次提交
  2. 16 9月, 2020 1 次提交
  3. 15 2月, 2020 1 次提交
    • S
      update ops's unittest data type from float32 to float64 and shape over 100 (#22544) · 90ee3666
      Steffy-zxf 提交于
      * update ops's unittest of elementwise_pow, elementwise_max, elementwise_min, scale and sqrt
      1. update elementwise_pow, elementwise_max and scale's unitests with input data type (float32 -> float64)
      2. fix bug that the elementwise_pow doesn't meet threshold requirements with tackling float64 data
      3. remove sqrt from op_accuracy_white_list.py
      4. update the unittests of elementwise_pow, elementwise_max and elementwise_min ops that their input data shape over 100
      5. test=develop
      
      * modify the writing style according suggestions
      test=develop
      90ee3666
  4. 28 11月, 2019 1 次提交
  5. 08 11月, 2018 1 次提交
    • C
      Fix input<tensor> (#14208) · c5b6573a
      chengduo 提交于
      * fix input<tensor>
      test=develop
      
      * fix split_ids
      test=develop
      
      * ElementwiseMul should not support SelectedRows
      
      * fix scale op
      test=develop
      
      * change GetTensorFromVar() method to GetTensorOrSelectedRowsFromVar()
      
      * fix operator
      
      * refine MultiOutput
      
      * fix MultiOutput
      test=develop
      
      * disable test_dist_save_load
      test=develop
      
      * fix elementwise_op
      test=develop
      
      * add get_sparse_as_op
      test=develop
      
      * add info for check
      test=develop
      
      * rename get_sparse_as_op with extract_rows_as_op.
      test=develop
      
      * elementwise doesn't support selected_rows
      
      * fix regularizer
      
      * remove extract_rows_as
      test=develop
      
      * fix ci
      test=develop
      
      * add test for sum_op
      
      * fix regularizer
      test=develop
      
      *  test=develop
      
      * fix pserver weight decay multi inputs test=develop
      c5b6573a
  6. 18 9月, 2018 1 次提交
  7. 17 9月, 2018 1 次提交
  8. 28 8月, 2018 1 次提交
    • Q
      Scale support selectedrows (#12960) · 11e01d9b
      Qiao Longfei 提交于
      * add ScaleOpVarTypeInference for scale op
      
      * scale op support scale selected rows
      
      * optimize code
      
      * use FindVar
      
      * use FindVarRecursive in ScaleOpVarTypeInference
      11e01d9b
  9. 12 2月, 2018 1 次提交
  10. 10 2月, 2018 2 次提交
  11. 26 12月, 2017 1 次提交
  12. 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
  13. 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
  14. 28 9月, 2017 1 次提交
  15. 06 9月, 2017 1 次提交
  16. 04 9月, 2017 1 次提交
  17. 03 9月, 2017 1 次提交
  18. 21 8月, 2017 2 次提交
  19. 09 8月, 2017 1 次提交
  20. 01 8月, 2017 1 次提交
  21. 26 7月, 2017 2 次提交
  22. 25 7月, 2017 1 次提交
  23. 17 7月, 2017 2 次提交
  24. 11 7月, 2017 2 次提交
  25. 06 7月, 2017 2 次提交
  26. 05 7月, 2017 1 次提交
  27. 04 7月, 2017 4 次提交
  28. 03 7月, 2017 1 次提交
  29. 28 6月, 2017 2 次提交