- 07 3月, 2019 2 次提交
- 26 2月, 2019 1 次提交
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由 Yiqun Liu 提交于
Optimize the CUDA implementation of sequence_expand op by reduce the times of copying lod data from CPU to GPU. (#15493) * Optimize the CUDA implementation of sequence_expand op by reduce the times of copying lod data from CPU to GPU. test=develop * Refine the op benchmark to support setting lod in config. test=develop
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- 22 2月, 2019 1 次提交
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由 Yiqun Liu 提交于
* Initialize the benchmark tester for operator. test=develop * Rearrange the codes. test=develop
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- 20 12月, 2018 1 次提交
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由 xiaoli.liu@intel.com 提交于
test=develop
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- 16 11月, 2018 1 次提交
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由 Wu Yi 提交于
* wip simplify operator framework * wip * wip * done test=develop * clean test=develop * fix test=develop * fix deps test=develop * fix cpu build test=develop * fix tensorrt build test=develop * fix tests test=develop * fix test=develop * fix cpu build test=develop
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- 27 9月, 2018 1 次提交
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由 Jacek Czaja 提交于
- Added draft of new operator - Added fused embedding fc lstm files - First time embedding_fc_lstm_fuse_pass was invoked in test_text_classification - Added Embedding pattern - Not crashing - Enabled draft of embedding_fc_lstm pass (does it job) - First working (Seqcompute only) version - Removed diagnostic comment - First enabling of BatchCompute - Disabling pass for embedding with is_sparse and is_distributed - Cosmetics - Style - Style
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- 22 8月, 2018 2 次提交
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由 tensor-tang 提交于
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由 tensor-tang 提交于
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- 15 8月, 2018 2 次提交
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由 tensor-tang 提交于
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由 tensor-tang 提交于
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- 08 5月, 2018 1 次提交
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由 Yu Yang 提交于
Do not use ctor * Reduce line of codes. * We can use virtual function for Maker now. * The implementation does not care what maker holds, it is easier to refactor later.
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- 03 4月, 2018 2 次提交
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由 mozga-intel 提交于
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由 mozga-intel 提交于
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