- 27 6月, 2018 18 次提交
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由 Xin Pan 提交于
small clean
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由 baiyf 提交于
* optimize bipartite_match_op in large scale input
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由 Yan Chunwei 提交于
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由 Yan Chunwei 提交于
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由 Xin Pan 提交于
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由 qingqing01 提交于
* Speed depthwise transposed conv2d.
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由 Qingsheng Li 提交于
* Set zero outside functor
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由 sneaxiy 提交于
Add Python Reader Op (CPP side)
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由 sneaxiy 提交于
Add design doc of Python data feeding
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由 Shan Yi 提交于
create about_us.rst
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由 captainwoon 提交于
1.PaddlePaddle是百度提供的开源深度学习框架->PaddlePaddle是百度自主研发并开源的深度学习框架 2.框架本身具有易学,去掉本身 3.在兼具性能的同时->在保证性能的同时
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由 sneaxiy 提交于
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由 Shan Yi 提交于
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由 tensor-tang 提交于
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由 Guo Sheng 提交于
Fix and enhance beam_search_op and beam_searc_decode_op
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由 Shan Yi 提交于
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由 Wu Yi 提交于
Fix dist train broadcasting bug
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由 guosheng 提交于
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- 26 6月, 2018 22 次提交
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由 sneaxiy 提交于
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由 yi.wu 提交于
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由 captainwoon 提交于
增加【关于我们】文案
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由 yi.wu 提交于
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由 chengduo 提交于
* change return_numpy[PE] default value * Remove convert to numpy in unit test
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由 yi.wu 提交于
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由 Yan Chunwei 提交于
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由 tangwei12 提交于
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由 yi.wu 提交于
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由 Tao Luo 提交于
enable dynamic load mklml lib on fluid
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由 tangwei12 提交于
Checkpoint M2: lookup table checkpoint
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由 chengduo 提交于
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由 gongweibao 提交于
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由 tangwei12 提交于
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由 tangwei12 提交于
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由 chengduo 提交于
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由 tangwei12 提交于
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由 Yancey 提交于
Fix async update failed
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由 tangwei12 提交于
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由 Yu Yang 提交于
Update api.rst (merge to develop)
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由 Tomasz Patejko 提交于
* elementwise_add with bcast: Brian's implementation by Brian added, with default bcasts * elementwise_add with bcast: GetExpectedKernelType added to elementwise_op * elementwise_add with bcast: use_mkldnn attribute added * elementwise_add with bcast: changes after review and some formatting * elementwise_add with bcast: changes after style check * elementwise_add with bcast: changes after style check cont. * elementwise_add with bcast: MKLDNN unittests added * elementwise_add with bcast: original unittests with use_mkldnn flag * elementwise_add with bcast: handling of MKLDNN format corrected * elementwise_add with bcast: setting MKLDNN format turned into lambda * elementwise_add with bcast: MKDNN format setting turned into separate function * elementwise_add with bcast: condition for choosing MKLDNN simplified * elementwise_add with bcast: fix for MKLDNN format set incorrectly in bcasts * elementwise_add with bcast: changes in unittests for broadcasts * elementwise_add with bcast: fixes in unittests regarding dimensions * elementwise_add with bcast: bring back correct format setting in mklml grad path * elementwise_add with bcast: fixed compilation error
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