1. 12 1月, 2018 1 次提交
  2. 11 1月, 2018 1 次提交
  3. 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.
      未验证
      b5fda272
  4. 03 1月, 2018 2 次提交
  5. 02 1月, 2018 4 次提交
  6. 29 12月, 2017 1 次提交
  7. 27 12月, 2017 2 次提交
  8. 25 12月, 2017 1 次提交
  9. 19 12月, 2017 1 次提交
  10. 12 12月, 2017 2 次提交
    • S
      modify for some update in trunk · a3addcdc
      sweetsky0901 提交于
      a3addcdc
    • 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`
      未验证
      61ec0b95
  11. 01 12月, 2017 3 次提交
  12. 28 11月, 2017 1 次提交
    • Send recv op (#5520) · 0a8a86e0
      武毅 提交于
      * WIP send recv op
      
      * WIP send recv
      
      * put grpc impl in details
      
      * put grpc impl in details
      
      * update wip
      
      * update proto
      
      * update proto
      
      * update proto
      
      * clean cmake
      
      * wip on op implementations
      
      * wip on op implementations
      
      * compile ok adding ut
      
      * wip unitest
      
      * add extern cares for linking
      
      * wip add ut
      
      * working version send recv
      
      * revert optimizer.py
      
      * update test cmake
      
      * add libtool to dockerfile
      
      * update cmake dependency
      
      * update cmake depends
      
      * update cmake grpc depends
      
      * fix cmake dependency
      
      * fix compile error
      
      * fix compile
      
      * follow comments
      
      * update
      
      * update copyfrom
      未验证
      0a8a86e0
  13. 27 11月, 2017 2 次提交
  14. 26 11月, 2017 1 次提交
    • D
      Feature/copytensor (#5455) · 45062fe5
      dzhwinter 提交于
      * "make global tensor function independently"
      
      * "replace functor"
      
      * "fix inline template error"
      
      * "fix tensor array with CopyFrom"
      
      * "fix other case use CopyFrom"
      
      * "move the op interface hardly"
      
      * "fix operators"
      
      * "fix typo"
      
      * "delete dynamic recurrent rnn and fix gru_unit in debugmode"
      
      * "fix unique_ptr copy"
      
      * "fix cuda copy"
      
      * "fix namespace error"
      
      * "removed nccl python test"
      
      * "fix include error"
      
      * "fix typo"
      
      * fix copy util test
      未验证
      45062fe5
  15. 22 11月, 2017 1 次提交
  16. 21 11月, 2017 2 次提交
  17. 18 11月, 2017 1 次提交
  18. 16 11月, 2017 1 次提交
  19. 13 11月, 2017 3 次提交
    • C
      add conv3d_trans_cudnn_op · 3a507b44
      chengduoZH 提交于
      3a507b44
    • Q
      BeamSearchDecodeOp (#5498) · a4106278
      Qiao Longfei 提交于
      * init trieconcat_op
      
      * add basic implementation
      
      * add test
      
      * add more test
      
      * update unit test
      
      * add PackAllSteps test
      
      * fix PackAllSteps
      
      * all test passed
      
      * clean code
      
      * remove state inside helper
      
      * rename prob to score
      
      * optimize RemoveFromEnd
      
      * use deconstructor to delete BeamNode recursively
      
      * optimize interface
      
      * add comment to interface
      
      * optimizer data structure
      
      * use template to define the type of score
      
      * use template parameter for BeamHelper
      
      * change father to parent
      
      * rename TrieConcat to BeamSearchOutConcat
      
      * use LoDTensorArray
      
      * rename BeamSearchOutConcat to BeamSearchDecode
      
      * refine code
      
      * remain all candidate sentence in beam_search_decode_op, do not consider endid
      
      * use unique_ptr
      
      * fix compare bug
      
      * fix lod compile problem
      未验证
      a4106278
    • D
      91d4fc69
  20. 11 11月, 2017 2 次提交
  21. 08 11月, 2017 3 次提交
    • Y
      Feature/rnn to array to lod tensor (#5411) · f72729d4
      Yu Yang 提交于
      * Add LoDRankTable
      
      LoD Rank Table stores the `level` of `lod` which is ordered by sequence
      length in descending order. It is useful when implement dynamic RNN and
      is shared by dynamic RNN memory, dynamic RNN slice input and dynamic
      RNN slice output operators.
      
      * Add skeleton for array_to_lod_tensor and lod_tensor_to_array
      
      * Add VarType::LoDTensorArray
      
      * Add PyBind of LoDTensorArray
      
      * Add InferVarType
      
      * Add first unittest
      
      * Add ut
      
      * Add unittest
      
      * Add unittest
      
      * Add unittests
      
      * update
      
      * init
      
      * add infershape for lod_tensor_to_array_op
      
      * compelete array_to_lod_tensor_op
      
      * copy data
      
      * clean code
      
      * clean code
      
      * Fix unittest data
      
      * fix bugs
      
      * fix compile error
      
      * Refine TensorToArrayOp
      
      * refactor array_to_lod_tensor
      
      * Unittest
      
      * fix bugs
      
      * Fix unittest
      
      * Fix unittest
      
      * debug
      
      * Debug
      
      * Fix unittest
      
      * clean code
      
      * refactor
      
      * use ostream
      
      * update test
      
      * fix gpu build error
      
      * make gpu test pass
      f72729d4
    • Y
      Add gtest for drnn · db3b49fe
      Yu Yang 提交于
      db3b49fe
    • Y
      Compare Operator (#5325) · f74fb790
      Yu Yang 提交于
      * Compare Operator
      
      * Follow comments
      未验证
      f74fb790
  22. 07 11月, 2017 1 次提交
    • Y
      ReadFromArray/WriteToArray op (#5407) · c9b57dcc
      Yu Yang 提交于
      * Use stable_sort in lod_rank_table
      
      It is easy to debug and test when use `stable_sort`and the time
      complexity is not changed.
      
      * Add LoDTensorArray
      
      * Stash
      
      * Better debug message for IsInitialized
      
      * Stash
      
      * Better debug message for IsInitialized
      
      * Complete array read/write op unittests
      未验证
      c9b57dcc
  23. 04 11月, 2017 1 次提交
    • Y
      Add LoDRankTable (#5349) · 74849158
      Yu Yang 提交于
      * Add LoDRankTable
      
      LoD Rank Table stores the `level` of `lod` which is ordered by sequence
      length in descending order. It is useful when implement dynamic RNN and
      is shared by dynamic RNN memory, dynamic RNN slice input and dynamic
      RNN slice output operators.
      
      * Add InferVarType
      74849158
  24. 03 11月, 2017 1 次提交
  25. 02 11月, 2017 1 次提交
    • Y
      Rewrite StaticRNN with Executor (#5224) · 0a32e74d
      Yu Yang 提交于
      * Init commit
      
      * Make executor use ProgramDescBind
      
      * Change Attribute from BlockDesc to BlockDescBind
      
      * Since we will get the program desc in RNN, just BlockDesc is not
        enough.
      
      * Add DeviceContext to Executor API
      
      * Rewrite RNN
      
      * Pass Python
      
      * AddBiasOp does not care num_flatten_dims
      
      * Stash
      
      * Fix MacOS Compile
      
      * Pass RNN forward
      
      * add python test
      
      * refactor test
      
      * Make compile pass
      
      * add gradopmaker
      
      * First draft done
      
      * Polish code
      
      * add grad op maker and grad infershape
      
      * Polish code
      
      * Fix backward.cc bug
      
      * Fix infershape
      
      * Rename function
      
      * add backward test
      
      * simplify recurrent test
      
      * Update
      
      * Pass unittest
      
      * Add comments & refine test
      
      * Add comments
      
      * refactor test
      
      * Complete Unittest
      
      * fix StepScopes enforce
      
      * Remove unused unittest
      
      * no type error
      
      * Update
      
      * Make RNN Pass unittest
      未验证
      0a32e74d
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