- 15 5月, 2018 14 次提交
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由 Yancey 提交于
* refine async update design doc * update by comments
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由 chengduo 提交于
Fix pe bug
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由 Yancey 提交于
* add dist transpiler unit test * update by comment * update by comment * fix ci * fix ci
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由 Yancey 提交于
* add manylinux docker image usage * update by comment * update by comment
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由 Wu Yi 提交于
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由 Tao Luo 提交于
refine EngineIOConverter, and use io_convert in test_trt_activation_op
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由 Luo Tao 提交于
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由 chengduoZH 提交于
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由 weixing 提交于
Change cmake for build doc
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由 Luo Tao 提交于
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由 Yiqun Liu 提交于
* Fix a bug related to dispensable inputs and refine the inference unittest. * Fix the use of dispensable inputs in reshape_op. * Polish the enforce statements. * Fix an English writing typo.
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由 daminglu 提交于
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由 Xin Pan 提交于
[Feature] NCCL2 distributed training
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由 qingqing01 提交于
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- 14 5月, 2018 17 次提交
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由 chengduoZH 提交于
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由 Yan Chunwei 提交于
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由 Luo Tao 提交于
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由 Yan Chunwei 提交于
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由 yuyang18 提交于
Check the system requirements
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由 Luo Tao 提交于
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由 Tao Luo 提交于
"fix dtype ci error"
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由 Wu Yi 提交于
* test_patch_mkldnn * use patch file * follow comments * fix patch
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由 typhoonzero 提交于
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由 typhoonzero 提交于
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由 dzhwinter 提交于
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由 typhoonzero 提交于
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由 Tao Luo 提交于
Reusing of softmax mkldnn primitives
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由 Yang yaming 提交于
Fix order of prior boxes.
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由 Yu Yang 提交于
Balance parameter_opt between cards
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- 12 5月, 2018 9 次提交
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由 yangyaming 提交于
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由 baiyf 提交于
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由 Yu Yang 提交于
matmul support float16/double
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由 Yu Yang 提交于
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由 Yu Yang 提交于
Parallel Executor revised feeder
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由 yi.wu 提交于
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由 Jeff Wang 提交于
* Update the mnist test cases with the new API syntax. * Turn on the tests for MNIST * delete the test files got merged accidently. * Enable the mnist tests. ready for test driven development. * Comment out the infer first This is to confirm that the Trainer.train is working * Add CMake file to include the tests * Make the train program only return avg_cost for now * Update the tests to use the latest syntax
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由 Xiaohu Zhu 提交于
typo fixed
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由 Qiao Longfei 提交于
* add Inference.infer * optimize code * update no_test_word2vec_new_api.py * update trainer * split check_and_get_place * use inference_program to save inference model in Trainer * update demo * update save_inference_model * clean code
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