- 21 12月, 2017 1 次提交
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由 Yu Yang 提交于
* Rename XXDescBind --> XXDesc * Fix Compile
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- 20 12月, 2017 1 次提交
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由 Yu Yang 提交于
* Move framework.proto to proto namespace * Fix compile * Fix compile * Fix Compile
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- 04 12月, 2017 1 次提交
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由 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
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- 26 11月, 2017 1 次提交
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由 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
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- 09 11月, 2017 1 次提交
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由 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
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- 08 11月, 2017 1 次提交
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由 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
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