1. 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
  2. 03 11月, 2017 1 次提交
  3. 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
      0a32e74d
  4. 31 10月, 2017 1 次提交
  5. 27 10月, 2017 1 次提交
    • Q
      add sparse support for sum op (#5093) · 7f8574c0
      QI JUN 提交于
      * add sparse support for sum op
      
      * typo fix
      
      * fix gpu build error
      
      * fix unittest error
      
      * typo fix
      
      * infer var type and shape in op_test
      
      * follow comments
      
      * fix build error
      
      * bypass some unittests depend on NetOp
      7f8574c0
  6. 26 10月, 2017 4 次提交
  7. 25 10月, 2017 2 次提交
    • D
      "Serialize LoDTensor, Save/Restore model" (#4602) · fd2eb550
      dzhwinter 提交于
      * "add model format design doc"
      
      * "add restore function"
      
      * "add parse protobuf"
      
      * "move necessary information to saver.proto"
      
      * "format code"
      
      * "add gpu option"
      
      * "add lod info"
      
      * "add saveop python test wrapper"
      
      * "checkpoint reuse save operator"
      
      * "rewrite model format design doc"
      
      * "async support needed"
      
      * "fix run once"
      
      * "fix doc based on comments"
      
      * "refine based on comments"
      
      * "fix based comments"
      
      * "remove persistable flag from framework.proto"
      
      * "add IndicateDataType to restore op"
      
      * "add save test"
      
      * "modify save restore code"
      
      * "modified the restore logic"
      
      * rm checkpoint_op.cc
      
      * rm test_checkpoint_op.py
      
      * "get inputs outputs name from execution context"
      
      * Saving each variable to a independent file
      
      * Fix bugs
      
      * Rewrite save_restore_op_test with new Python framework
      
      * Move `SaveOp` and `RestoreOp` from OpWithKernel to OpBase
      
      * Refine unit test of SaveOp and RestoreOp
      
      * fix compile errorwq
      fd2eb550
    • D
      write nccl c++ test case · ef257e6d
      Dong Zhihong 提交于
      ef257e6d
  8. 24 10月, 2017 2 次提交
  9. 23 10月, 2017 2 次提交
  10. 20 10月, 2017 1 次提交
  11. 19 10月, 2017 1 次提交
  12. 18 10月, 2017 1 次提交
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  14. 13 10月, 2017 2 次提交
  15. 11 10月, 2017 2 次提交
  16. 10 10月, 2017 1 次提交
  17. 09 10月, 2017 1 次提交
  18. 03 10月, 2017 1 次提交
  19. 28 9月, 2017 2 次提交
  20. 27 9月, 2017 1 次提交
  21. 24 9月, 2017 1 次提交
  22. 21 9月, 2017 3 次提交
  23. 20 9月, 2017 2 次提交
  24. 15 9月, 2017 1 次提交
  25. 14 9月, 2017 4 次提交