- 30 1月, 2018 1 次提交
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由 Yi Wang 提交于
* refine channel test * follow comments * Add dependency enforce to threadpool * Revert changes to channel_test.cc * Revert changes to channel_test.cc * Add #include "paddle/framework/macros.h"
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- 29 1月, 2018 2 次提交
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由 Yi Wang 提交于
* Remove IsBounded as buffered channels have to be bounded * Add derived classes Buffered and UnBuffered" * Implement buffered and unbuffered channels * Correct the syntax of Channel::Receive * clang-format * clang-format 3.8 * clang 3.8
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由 Yi Wang 提交于
* Polish threadpool * Add #include <vector> * Rename variables * Rename variables * clang-format
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- 28 1月, 2018 3 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 chengduo 提交于
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- 27 1月, 2018 2 次提交
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由 kexinzhao 提交于
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由 Kexin Zhao 提交于
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- 26 1月, 2018 3 次提交
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由 kexinzhao 提交于
* initial commit * add new executor run function * fix bug * fix multiple definition of feed_fetch_method issue * fix cmake * fix tensor copy error * refine executor code * add comments * temporary modification * address comments * fix bug
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由 Kexin Zhao 提交于
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由 Kexin Zhao 提交于
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- 23 1月, 2018 4 次提交
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由 Qiao Longfei 提交于
neural machine translation model support beam search with while op
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由 dangqingqing 提交于
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由 QI JUN 提交于
* limit variable type to lod tensor in memory optimization transpiler * refine policy * support while operator * fix random seed and training data order * refine get_cfgs method to support multi while operators * refine codes
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由 Tao Luo 提交于
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- 22 1月, 2018 3 次提交
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由 QI JUN 提交于
* add memory optimization transpiler demo * add memory benchmark compile option * add gflags instead of macro * refine code
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由 guosheng 提交于
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由 dangqingqing 提交于
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- 21 1月, 2018 2 次提交
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由 Qiao Longfei 提交于
* init complete data layout transform * can compile * test passed * optimize code * fix while_grad_op first step loss lod problem * optimize in out ptr for transform * add check * update copyright * clean code * add NeedTransformLayout * add comment * change the interface of data_type_transform * init data_type_transform_test * complete data_type_transform_test * add TransDataType to data_transform
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由 dzhwinter 提交于
* "fix decode bug" * "follow commnet" * "fix error" * "fix hook bug" * fix based comment * fix copyright * fix based on comment
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- 20 1月, 2018 1 次提交
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由 dangqingqing 提交于
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- 19 1月, 2018 2 次提交
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由 Qiao Longfei 提交于
* check if kernel if found for kernel type * do kernel check before data transform
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由 Qiao Longfei 提交于
* add data layout transform and optimize the implementation of data_transform
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- 18 1月, 2018 4 次提交
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由 Yang Yang 提交于
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由 Yang Yang 提交于
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由 Yu Yang 提交于
* Fix ParallelDo not support empty input gradient * Polish ParallelDo and fix several bugs * Fix CI * Fix CI
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由 Qiao Longfei 提交于
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- 17 1月, 2018 3 次提交
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由 Yan Chunwei 提交于
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由 Qiao Longfei 提交于
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由 Luo Tao 提交于
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- 16 1月, 2018 2 次提交
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由 dangqingqing 提交于
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由 Luo Tao 提交于
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- 15 1月, 2018 2 次提交
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由 dzhwinter 提交于
* add copyright hook * add copyright hook * refine copyright hook * "test copyright hook" * fix check style * fix ci
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由 Yancey1989 提交于
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- 14 1月, 2018 1 次提交
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由 dzhwinter 提交于
* "unified operators" * "add CUDNN register" * "add use cudnn attribute" * "add attribute" * "test conv tranpose op" * "remove duplicated attr" * "fix op test" * "add attribute to set cudnn" * "add more log" * "need layout op register support" * "add more log" * "change GetExpectedKernelType " * "fix Get attr in conv_op" * "fix CI" * "fix tests" * "removed kernel priority fallback" * "fix CI" * "fix stack pointer bug" * "refine buggy interface" * "add const cast to save life" * "fix get_output_with_grad" * "fix op test with dataformat" * ""fix pooling * "fix pooling test" * "fix CI" * "fix with_gpu error" * "add transform needed functional check" * "fix unpack list error" * "comment out parallel.do temporary" * "fix CI" * "fix compile doc error" * "make threshold larger"
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- 12 1月, 2018 3 次提交
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由 Qiao Longfei 提交于
* add GetLoD for debug * add LoDToString * optimize if * typo * add lod_tensor to operator's dependency
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由 Yang Yang 提交于
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由 xuwei06 提交于
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- 11 1月, 2018 1 次提交
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由 Yang Yang 提交于
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- 10 1月, 2018 1 次提交
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由 Qiao Longfei 提交于
* init data_type_transform * split data_layout_transform * tmp rm data_transform_test * change device_data_transform to data_device_transform * clean code * clean code
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