- 22 12月, 2017 40 次提交
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由 sweetsky0901 提交于
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由 sweetsky0901 提交于
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由 sweetsky0901 提交于
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由 Tao Luo 提交于
add python wrapper for sequence_pool
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由 sweetsky0901 提交于
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由 Yu Yang 提交于
Add ReorderLoDTensorByRank
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由 Luo Tao 提交于
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由 QI JUN 提交于
* add data layout * fix ci
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由 QI JUN 提交于
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由 Guo Sheng 提交于
Add python wrapper for reduce_mean
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由 武毅 提交于
fix cmake require docs
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由 武毅 提交于
[Done] API for dist train
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由 Yang Yu 提交于
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由 Luo Tao 提交于
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由 Cao Ying 提交于
fix the latex equation in fluid fc layer.
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由 Yang Yu 提交于
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由 Yu Yang 提交于
Enforce drop_empty_grad=false When the input of an op is duplicable.
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由 typhoonzero 提交于
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由 dzhwinter 提交于
* "remove GPU Sync Interface" * "fix typo" * "fix type cast error" * "fix related Copy with stream" * "fix failed tests with DevicePool" * "fix stupid removed position error"
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由 typhoonzero 提交于
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由 caoying03 提交于
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由 Luo Tao 提交于
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由 Tao Luo 提交于
enable alexnet benchmark
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由 Tao Luo 提交于
use small samples to infer openblas
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由 Guo Sheng 提交于
Fix lr setting of param_attr in Fluid
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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 xuwei06 提交于
For input argument with a list of variables, drop_empty_grad is not allowed because it makes the correspondence bewteen a variable and its gradient ambiguous. Use REGISTER_OP_EX to register the op or call InputGrad(?,false) in GradOpDescMaker.
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由 Cao Ying 提交于
Refine the doc for mul_op and fully connected layer.
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由 kavyasrinet 提交于
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由 kavyasrinet 提交于
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由 Abhinav Arora 提交于
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由 kavyasrinet 提交于
Adding documentation for the operators: lod_tensor_to_array , array_to_lod_tensor, create_array, increment (#6807) * Adding operator assignment * Adding a prototype for documentation in layers * small update to re-run Travis * Removing file from another PR * Small typo * Adding documentation for the operators: lod_tensor_to_array , array_to_lod_tensor, create_array, increment * Fixing indentation issue * Fixed datatype of input variables
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由 Abhinav Arora 提交于
* Polish API docs for assign layer * Polishing the API docs for concat and assign layer
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由 kavyasrinet 提交于
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由 kavyasrinet 提交于
* Writeup for array write layer * Fixed the type
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由 kavyasrinet 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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