1. 24 1月, 2022 1 次提交
  2. 27 9月, 2020 1 次提交
    • L
      add support to float64 input of warpctc op. (#27399) · 1501a80f
      Li Fuchen 提交于
      * add float64 input to ctc_loss
      
      * modified error message of  warpctc
      
      * update repo and tag of warpctc
      
      * add test for warpctc with float64 input
      
      * modified warpctc.cmake to make sure build always
      
      * resolved sample code bug of warpctc
      
      * add core.ops in warpctc dygraph
      
      * fix a bug of test
      1501a80f
  3. 24 9月, 2020 1 次提交
    • W
      use iwyu clean include (#27267) · df43905f
      wanghuancoder 提交于
      * use iwyu clean include, test=develop, test=win
      
      * compilation error, test=develop
      
      * fix compilation error2, test=develop
      
      * fix compilation error3, test=develop
      
      * fix compilation error4, test=develop
      
      * fix compilation error5, test=develop
      
      * fix compilation error6, test=develop
      
      * fix compilation error7, test=develop
      
      * fix compilation error8, test=develop
      
      * fix compilation error8, test=develop
      
      * fix compilation error10, test=develop
      
      * fix compilation error11, test=develop
      df43905f
  4. 18 12月, 2018 2 次提交
  5. 21 8月, 2018 1 次提交
  6. 17 8月, 2018 1 次提交
  7. 01 6月, 2018 1 次提交
  8. 25 4月, 2018 1 次提交
  9. 08 4月, 2018 1 次提交
  10. 12 2月, 2018 1 次提交
  11. 10 2月, 2018 2 次提交
  12. 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