1. 27 8月, 2018 1 次提交
  2. 23 8月, 2018 1 次提交
  3. 22 8月, 2018 1 次提交
  4. 20 8月, 2018 1 次提交
  5. 24 5月, 2018 1 次提交
  6. 11 5月, 2018 1 次提交
  7. 02 5月, 2018 1 次提交
  8. 15 2月, 2018 1 次提交
    • Y
      Update tensor_util.h (#8422) · cfffb1a3
      Yi Wang 提交于
      * Update tensor_util.h
      
      * Update with moved TensorDesc
      
      * Fix tensur_utils.cu
      
      * Update
      
      * Update
      
      * Update
      
      * Update
      
      * Make tensor_util.cu a symbolic link
      cfffb1a3
  9. 12 2月, 2018 1 次提交
  10. 10 2月, 2018 2 次提交
  11. 08 2月, 2018 1 次提交
  12. 31 1月, 2018 1 次提交
    • D
      Fix/lod (#7714) · ae7d1c1f
      dzhwinter 提交于
      * "Need to re-design LoD "
      
      * "add lod design"
      
      * "fix lod gpu ptr pointer"
      
      * "removed commented code"
      
      * "fix CI"
      
      * "remove set lod in pybind"
      
      * "fix style check"
      
      * "fix CI"
      
      * "fix long type template error"
      
      * "pybind reorder to use Place"
      
      * "fix ci"
      
      * "fix ci"
      
      * fix ci
      
      * "sperate as a new file"
      
      * "fix CI"
      
      * "fix ci"
      
      * small fix
      
      * "add test"
      
      * "fix adam op"
      
      * "fix lstmp op"
      
      * "fix adam op"
      
      * "follow comments"
      
      * "fix ci"
      ae7d1c1f
  13. 18 1月, 2018 1 次提交
  14. 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