1. 20 11月, 2017 5 次提交
  2. 19 11月, 2017 1 次提交
  3. 17 11月, 2017 3 次提交
  4. 16 11月, 2017 1 次提交
    • Y
      feature/while_grad_op (#5554) · 18f0c40a
      Yang Yang(Tony) 提交于
      * first commit
      
      * Python API for while op
      
      * Python Unittest for simple while_op forward
      
      * fix out to be list
      
      * Fix UT
      
      * VarType
      
      * Fix several bugs
      
      * Fix bug
      
      * Fix bug
      
      * Fix Bug
      
      * Fix bug
      
      * Fix unittest
      
      * Remove debug log
      
      * Add comments
      
      * add PADDLE_ENFORCE
      
      * while_grad_op first commit
      
      * Add `BlockDescBind::FindRecursiveOrCreateVar()` and fix bugs
      
      * not sure how to setdim of while outputs
      
      * push for test
      
      * add executor vlog
      
      * fix bug of while_op cond
      
      * Several enhancement for code
      
      1. Backward always infer shape & infer var type. Since there are RENAME
      variables will be created when creating backward operator, but their
      shape & var types are not inferenced.
      2. Never use SomePtr-> directly, since every pointer could be nullptr if
      it is a function return value. Add `detail::Ref` to cast pointer to
      reference safely.
      3. Enhance error message for backward.
      4. Infer data type of variable in `sum` and `tensor_write`
      
      * Fix bugs of while_op gradient
      
      * Fix several bugs of while_op grad
      
      * fix fill zeros like
      
      * fix 3 >= 3
      
      * fix place holder shouldn't be null
      
      * fail on sum op
      
      * Fix SumOp of TensorList
      
      * clean up
      
      * pass while test
      
      * fix test_array_write_read
      
      * pass sum op
      
      * Support int/int64 for fill_constant_batch_size_like
      
      * Fix compile
      18f0c40a
  5. 15 11月, 2017 3 次提交
  6. 14 11月, 2017 3 次提交
  7. 13 11月, 2017 3 次提交
  8. 11 11月, 2017 6 次提交
  9. 10 11月, 2017 3 次提交
  10. 09 11月, 2017 1 次提交
  11. 08 11月, 2017 5 次提交
  12. 07 11月, 2017 2 次提交
  13. 06 11月, 2017 2 次提交
  14. 04 11月, 2017 2 次提交