- 15 5月, 2018 1 次提交
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由 tangwei12 提交于
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- 14 5月, 2018 3 次提交
- 11 5月, 2018 2 次提交
- 10 5月, 2018 3 次提交
- 09 5月, 2018 2 次提交
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由 typhoonzero 提交于
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由 Yang Yang 提交于
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- 08 5月, 2018 8 次提交
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由 chengduoZH 提交于
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由 chengduoZH 提交于
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由 chengduoZH 提交于
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由 chengduoZH 提交于
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由 chengduoZH 提交于
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由 Jeff Wang 提交于
* Save the base of the new test. * Create the notest_recognize_digits_conv and notest_recognize_digits_mlp * precommit check * Change the function name from _network to _program. Update several variable names to make them more consistant. Update the Inferencer construction call. * Fix the incorrect format.
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由 Siddharth Goyal 提交于
* Add label semantic examples with new api * Address review comments * Address review comment
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由 Jeff Wang 提交于
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- 07 5月, 2018 12 次提交
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由 chengduoZH 提交于
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由 whs 提交于
* Fix clone function of Program to avoid memory leak. * Fix inference_optimize function of framework.py. * Reuse inference_optimize in framework.py. * Add comments.
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由 Yancey 提交于
* fix trainer import error on ce * fix setup.py.in
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由 chengduoZH 提交于
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由 Yu Yang 提交于
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由 Yancey 提交于
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由 qiaolongfei 提交于
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由 Yancey 提交于
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由 qiaolongfei 提交于
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由 qiaolongfei 提交于
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由 Kexin Zhao 提交于
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由 Kexin Zhao 提交于
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- 05 5月, 2018 1 次提交
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由 Jeff Wang 提交于
* Load/save the params from the params_path * Switch to use load_persistables and save_persistables * Instaed of setup the executor to run program and scope. Pass the program to the load_persistables
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- 04 5月, 2018 6 次提交
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由 Qingsheng Li 提交于
* Added auto transform to beam_search_decode_op * Added some comment * Added unittest for beam_search_decode_op on GPU
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由 Yi Wang 提交于
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由 Kexin Zhao 提交于
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由 Kexin Zhao 提交于
* add test float16 inference accuracy example * complete the test * clean code * add argument parse and refine tests * add shell script * add float16 benchmark code * refine code * prepare for contrib/float16 * put things in contrib float16 folder * update benchmark result * further update benchmark report * add float16 inference report * update report
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由 Helin Wang 提交于
Works with 1 trainer 1 pserver. 2 trainer 1 pserver will stuck at the end of first step, still investigating. The user only need to set envrionment variables to enable distributed training. run pserver: PADDLE_TRAINING_ROLE=PSERVER PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 python no_test_word2vec_new_api.py run trainer: PADDLE_TRAINING_ROLE=TRAINER PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_TRAINER_ID=0 python no_test_word2vec_new_api.py
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由 Abhinav Arora 提交于
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- 03 5月, 2018 2 次提交
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由 Yancey1989 提交于
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由 Yancey1989 提交于
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