1. 27 12月, 2017 1 次提交
    • Y
      Rename API of DeviceContext (#7055) · 15e8c80e
      Yu Yang 提交于
      * Rename API of DeviceContext
      
      Make them as usual names.
      
      * Rename API of DeviceContext
      
      Make them as usual names.
      
      * Fix compile
      
      * Fix compile
      
      * Fix compile
      
      * Fix compile
      
      * Fix compile
      15e8c80e
  2. 26 12月, 2017 1 次提交
  3. 24 12月, 2017 1 次提交
    • D
      Feature/operator run place (#6783) · 735eba29
      dzhwinter 提交于
      * "change operator interface"
      
      * "move devicepool to device_context"
      
      * "fix operator test"
      
      * "fix op_registry Run interface"
      
      * "net op passed. Need to fix nccl multi-Context"
      
      * "add nccl group function"
      
      * "add nccl group function"
      
      * "fix gpu count exceed 32 error"
      
      * "fix recurrent op, nccl op"
      
      * "change the other operators interface with Place"
      
      * "fix typo"
      
      * "fix pybind"
      
      * "fix device in python side"
      
      * "fix pybind failed"
      
      * "add init for test"
      
      * "fix CI"
      735eba29
  4. 21 12月, 2017 1 次提交
  5. 20 12月, 2017 1 次提交
  6. 04 12月, 2017 1 次提交
    • Y
      While op forward for sentimental analysis (#6140) · d5e32794
      Yu Yang 提交于
      * Add DataFeeder
      
      A v2 API like data feeder for book demos.
      We can feed data directly from reader.
      
      * Fix CI
      
      * Add an unittest for while/rnn op forward
      
      * Add unittest for raw while op backward
      
      * Fix CI
      d5e32794
  7. 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
      45062fe5
  8. 09 11月, 2017 1 次提交
    • F
      Add grad for lodtensor array ops (#5461) · b698d19b
      fengjiayi 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
      
      * Add grad for ops
      
      * Debug
      
      * Fix a bug
      
      * fix a bug
      
      * fix a bug
      b698d19b
  9. 08 11月, 2017 1 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