- 16 11月, 2017 7 次提交
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由 dzhwinter 提交于
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由 tensor-tang 提交于
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由 QI JUN 提交于
* adam sparse support * fix gpu build error * fix ci * fix ci * fix adagrad sparse update bug * fix gpu build error
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由 Markus Kliegl 提交于
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由 Markus Kliegl 提交于
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由 Markus Kliegl 提交于
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由 dzhwinter 提交于
* "fix accuracy kernel bug" * "relauch ci"
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- 15 11月, 2017 11 次提交
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由 hedaoyuan 提交于
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由 chengduoZH 提交于
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由 Yan Chunwei 提交于
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由 tensor-tang 提交于
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由 tensor-tang 提交于
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由 dzhwinter 提交于
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由 Yiqun Liu 提交于
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由 Yiqun Liu 提交于
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由 chengduoZH 提交于
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由 QI JUN 提交于
* fix gitignore * refine cmake file
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由 Abhinav Arora 提交于
* Adding greater than and less than equal ops to compare op * Changing the name of the less_than_equal and greater_than_equal op * Also changing the name of the functors
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- 14 11月, 2017 16 次提交
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由 wanghaox 提交于
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由 xzl 提交于
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由 dangqingqing 提交于
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由 hedaoyuan 提交于
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由 Dong Zhihong 提交于
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由 Qiao Longfei 提交于
* fix lod_tensor_array * init test beam search decode op * add test_beam_search_decode_op
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由 emailweixu 提交于
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由 Qiao Longfei 提交于
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由 Yu Yang 提交于
* Conditional Block Forward * Assign Operator. Out=X, when type in [LoDTensor/SelectedRows/LoDTensorArray] * Stash * Add Scope::Rename it is useful in gradient phase of an operator with block * ConditionalBlock Grad Done * Add comments * yapf format code
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由 wanghaox 提交于
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由 xzl 提交于
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由 wanghaox 提交于
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由 QI JUN 提交于
* add split lod tensor operator * add more test cast * clean code * add merge lod tensor operator * fix bug * clean code * add grad operator * make mask support GPU * add comments
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由 Yu Yang 提交于
* Assign Operator. Out=X, when type in [LoDTensor/SelectedRows/LoDTensorArray] * Follow comments
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由 xuwei06 提交于
The rank of the tensor from the chip() function is changed. In release mode, eigen_assert is not enabled and the dimenstion mismatch is not detected.
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由 xuwei06 提交于
The dimension is not set correctly and is not being checked in release mode because eigen_assert is not enabled.
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- 13 11月, 2017 6 次提交
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由 dangqingqing 提交于
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由 chengduoZH 提交于
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由 peterzhang2029 提交于
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由 peterzhang2029 提交于
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由 xzl 提交于
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由 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
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