- 29 9月, 2016 2 次提交
- 27 9月, 2016 2 次提交
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由 emailweixu 提交于
* Correctly handling multiple inputs and integer inputs for recurrent_group * Fix ScatterAgentLayer for generation * Revert sequence_(nest)_rnn.conf
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由 luotao1 提交于
* Add `device` parameter to ExtraAttr in trainer_config_helpers. * add unittest for it.
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- 26 9月, 2016 1 次提交
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由 liuyuan 提交于
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- 24 9月, 2016 1 次提交
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由 Zrachel 提交于
Local training with "sparse_update = True" parameter triggers kSgdSparseCpuTraining mode, fix bugs under it.
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- 23 9月, 2016 3 次提交
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由 qingqing01 提交于
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由 dangqingqing 提交于
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由 Yu Yang 提交于
* Also refine unittest to multiple iteration to prevent luckily random number.
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- 20 9月, 2016 3 次提交
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由 Yu Yang 提交于
* remove unnecessary field set in ParameterConfig, Evaluators, etc
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由 Luo Tao 提交于
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由 Yu Yang 提交于
* min_pool_size would be infinite by default. * add unittest for min_pool_size * Fix bug in can_over_batch_size * add unittest for can_over_batch_size * Add DEFINE_PROVIDER_EX * Add default value of should_shuffle * When training, the default value of should_shuffle is True. * When testing, the default value of should_shuffle is False. * User a set a provider should_shuffle or not by pass it to `@provider` * should_shuffle can handle a list of value, not just boolean * Add input order mapping by using name * Add unittest * Add check to check input format. * Default is close for speed reason. * User could stop train when check error, or continue train without this train sample. * use deque instead of vector in generators pool, make erase generator faster. * Add chinese/english documentation * Make should shuffle = false in unittest * Add python files to depends.
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- 17 9月, 2016 2 次提交
- 16 9月, 2016 1 次提交
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由 qingqing01 提交于
* try to fix bug for ctc_error_evaluator
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- 15 9月, 2016 2 次提交
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由 Yu Yang 提交于
Just forget to add deploy_key to this repository.
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由 emailweixu 提交于
to restore successful build status. travis DOCS job on master failed due to permisstion issue: https://travis-ci.org/baidu/Paddle/jobs/159851334 @reyoung, please resolve the permission issue.
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- 14 9月, 2016 7 次提交
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由 Yu Yang 提交于
* Add documentation build to ci test * Push master branch doc changes to gh-pages branch
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由 xuwei06 提交于
Change-Id: I8e0a8ea6fc2760652d9c76440a539c90860062d3
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由 zhangruiqing01 提交于
* modify RecurrentGradientMachine to support hasSubSeq sequence inlinks with the same number of sentence but different number of tokens for each sentence Change-Id: Ic71f00a4bb346b4fa93e650dfb4b1a0d8d2338b0
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由 Haonan 提交于
Change-Id: Id66da7b7f5bf9ec80cc19b347e4fb822a5a6f197
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由 Haonan 提交于
* by default, synchronize default_stream after resizeAndCopyFrom * add sync in some places after resizeAndCopyFrom using other streams
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由 xuwei06 提交于
Change cos_sim to use CosSimLayer layer when size=1 and rename convex_comb_layer to linear_comb_layer Also add an unittest for layers.py, currently for a few things. More need to be added later.
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由 qingqing01 提交于
* fix CUDNN_VERSION for backward of CudnnBatchNormLayer * fix cudnn version number for BatchNorm
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- 12 9月, 2016 1 次提交
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由 qingqing01 提交于
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- 09 9月, 2016 9 次提交
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由 Yu Yang 提交于
* Need PyGuard when set args for calc_batch_size
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由 Yu Yang 提交于
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由 gangliao 提交于
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由 Yu Yang 提交于
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由 Yu Yang 提交于
* Make layer stack trace shows ThreadId, Forward or Backward. Change-Id: Iba1477adb8c9115c3a67ff2959bb5c878ca706c7
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由 Yu Yang 提交于
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由 Yu Yang 提交于
* libpaddle_cuda add wrong -mavx to some cpp files.
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由 Yu Yang 提交于
* Make layer stack trace shows ThreadId, Forward or Backward. Change-Id: Iba1477adb8c9115c3a67ff2959bb5c878ca706c7
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由 Yu Yang 提交于
* install wheels when invoke paddle script if current python don't have paddle packages, or installed a previous version. * Also add `make install` to travis
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- 08 9月, 2016 6 次提交
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由 Luo Tao 提交于
Change-Id: I028e402c964ca4f4431cbf8153bea4379dd4df70
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由 He 提交于
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由 Yu Yang 提交于
Change-Id: Ibc39ca1d1a27d0d28569e29f41a5647659f8c764
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由 xuwei06 提交于
The reference return type causes ThreadParameterUpdater.cpp:123 seg fault under gcc5.4. Change-Id: I7a1c155892722076a7cb48793b83d5ee525747d1
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由 liuyuan04 提交于
Change-Id: I0b8608feab8f6be5094e8981fc5f65cb401ed415
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由 Yu Yang 提交于
Change-Id: I636cf13af5becb1168bc9749266b55580c46f6c9
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