1. 09 1月, 2018 1 次提交
    • Y
      Port WarpCTC Operator (#5107) · b5fda272
      Yiqun Liu 提交于
      * Add Seq2BatchFunctor, which will be used in WarpCTCOp.
      
      * Implement WrapCTCFunctor and WrapCTCKernel.
      
      * Add unittest of warpctc_op.
      
      * Modify the check_output inferface in python unittest framework to allow check a subset of outputs.
      
      * Use absolute offset lod in warpctc_op and related functors.
      
      * Refine the comments of warpctc_op.
      
      * The new python unittest supports checking a subset of the outputs, so revoke the previous change.
      
      * Rename the transform from LoDTensor to Tensor with shape [max_sequence_length, num_sequences, sequence_width] to PaddingSequenceFunctor.
      
      * Update to the newest codes.
      
      * Rename the PaddingSequenceFunctor to PaddingLoDTensorFunctor and remove the computation of dimensions out of the functos.
      b5fda272
  2. 04 1月, 2018 1 次提交
  3. 27 12月, 2017 1 次提交
  4. 26 12月, 2017 1 次提交
  5. 20 12月, 2017 1 次提交
  6. 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
  7. 27 11月, 2017 1 次提交
  8. 17 11月, 2017 1 次提交
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  17. 11 10月, 2017 1 次提交