- 12 12月, 2018 1 次提交
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由 Yu Yang 提交于
test=develop
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- 08 11月, 2018 1 次提交
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由 Zhaolong Xing 提交于
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- 25 10月, 2018 1 次提交
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由 Yu Yang 提交于
test=develop
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- 23 10月, 2018 1 次提交
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由 Yu Yang 提交于
test=develop
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- 29 9月, 2018 1 次提交
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由 Yu Yang 提交于
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- 28 9月, 2018 1 次提交
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由 Yu Yang 提交于
Use OO style to rewrite memory allocation.
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- 15 9月, 2018 1 次提交
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由 sneaxiy 提交于
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- 12 9月, 2018 1 次提交
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由 dzhwinter 提交于
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- 02 9月, 2018 1 次提交
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由 dzhwinter 提交于
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- 17 8月, 2018 2 次提交
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由 Michal Gallus 提交于
Also replace memory types from int64_t to size_t
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由 Michal Gallus 提交于
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- 02 8月, 2018 1 次提交
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由 minqiyang 提交于
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- 07 6月, 2018 1 次提交
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由 mozga-intel 提交于
* Add MKLDNN layout support in Paddle Add MKLDNN layout in Paddle so that MKLDNN friendly memory layout can be used in MKLDNN enabled OP kernel. Before this commit, NCHW is hardcode to be used in all MKLDNN op kernels. As a result, non-optimized execution path is selected in MKLDNN primitive which bring worse performance. Besides framework change, three MKLDNN OP kernels were updated for using new MKLDNN layout. They are conv/pool2d/batch_norm. Other MKLDNN OP kernels need be also updated in similar way to achieve best performance. * Add MKLDNN layout support in activation OP * Don't populate layout from input to output when kMKLDNN in * Refine pool mkldnn op kernel * MKLDNN layout * Remove the inferitance from tensor file * MKLDNN layout: refactoring * Remove additional #define to register new operator * Prepare mkldnn tests to work with layout
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- 06 6月, 2018 1 次提交
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由 yuyang18 提交于
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- 18 4月, 2018 2 次提交
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由 typhoonzero 提交于
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由 typhoonzero 提交于
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- 16 4月, 2018 2 次提交
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由 typhoonzero 提交于
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由 typhoonzero 提交于
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- 26 3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 chengduoZH 提交于
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- 20 3月, 2018 1 次提交
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由 chengduoZH 提交于
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- 13 2月, 2018 1 次提交
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由 fengjiayi 提交于
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- 12 2月, 2018 1 次提交
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由 qingqing01 提交于
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- 10 2月, 2018 2 次提交
- 09 2月, 2018 1 次提交
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由 Yu Yang 提交于
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- 08 2月, 2018 1 次提交
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由 Yu Yang 提交于
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- 31 1月, 2018 1 次提交
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由 dzhwinter 提交于
* "Need to re-design LoD " * "add lod design" * "fix lod gpu ptr pointer" * "removed commented code" * "fix CI" * "remove set lod in pybind" * "fix style check" * "fix CI" * "fix long type template error" * "pybind reorder to use Place" * "fix ci" * "fix ci" * fix ci * "sperate as a new file" * "fix CI" * "fix ci" * small fix * "add test" * "fix adam op" * "fix lstmp op" * "fix adam op" * "follow comments" * "fix ci"
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- 08 1月, 2018 1 次提交
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由 Qiao Longfei 提交于
* add rename guard * add device_data_transform * add device_data_transform_test * modify GetExpectedKernelType * update operator.run * support test test_label_semantic_roles * optimize code * optimize code * rename GetActualKernelType to GetExpectedKernelType * fix chunk_eval_op and device_data_transform_test * add is_same_place to place * optimize code, refine rename_guard * refine rename guard, add GetKernelTypeForVar * optimize code * add some log * rename guard * use sub scope to create var * fix compile * add IsInitialized for Tensor * add VarIsTensor * fix op_registry_test * test * tmp disable priority * restore switch_kernel.md * code clean
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- 27 12月, 2017 1 次提交
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由 dzhwinter 提交于
* "fix data transform" * "split into next PR"
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- 25 12月, 2017 1 次提交
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由 dzhwinter 提交于
* "add data layout" * "need kernel registry support" * "fix data layout" * "reorder include headers" * "change enum to enum class" * "fix CI"
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- 21 12月, 2017 1 次提交
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由 Yang Yang 提交于
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- 26 11月, 2017 1 次提交
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由 dzhwinter 提交于
* "make global tensor function independently" * "replace functor" * "fix inline template error" * "fix tensor array with CopyFrom" * "fix other case use CopyFrom" * "move the op interface hardly" * "fix operators" * "fix typo" * "delete dynamic recurrent rnn and fix gru_unit in debugmode" * "fix unique_ptr copy" * "fix cuda copy" * "fix namespace error" * "removed nccl python test" * "fix include error" * "fix typo" * fix copy util test
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- 02 11月, 2017 1 次提交
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由 Yu Yang 提交于
* Init commit * Make executor use ProgramDescBind * Change Attribute from BlockDesc to BlockDescBind * Since we will get the program desc in RNN, just BlockDesc is not enough. * Add DeviceContext to Executor API * Rewrite RNN * Pass Python * AddBiasOp does not care num_flatten_dims * Stash * Fix MacOS Compile * Pass RNN forward * add python test * refactor test * Make compile pass * add gradopmaker * First draft done * Polish code * add grad op maker and grad infershape * Polish code * Fix backward.cc bug * Fix infershape * Rename function * add backward test * simplify recurrent test * Update * Pass unittest * Add comments & refine test * Add comments * refactor test * Complete Unittest * fix StepScopes enforce * Remove unused unittest * no type error * Update * Make RNN Pass unittest
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- 30 10月, 2017 1 次提交
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由 Qiao Longfei 提交于
* add batch_norm_layer * add img_conv_group layer and test * add check to Tensor.type() * forward can run * with backward * change label data time from int32 to int64 * refine code * follow comment
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- 26 10月, 2017 1 次提交
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由 Yu Yang 提交于
* Init * Stash * Polish SaveLoadOp * Fix CI * Polish code * Save GPU Tensor * Stash * Fix CI
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- 25 10月, 2017 1 次提交
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由 dzhwinter 提交于
* "add model format design doc" * "add restore function" * "add parse protobuf" * "move necessary information to saver.proto" * "format code" * "add gpu option" * "add lod info" * "add saveop python test wrapper" * "checkpoint reuse save operator" * "rewrite model format design doc" * "async support needed" * "fix run once" * "fix doc based on comments" * "refine based on comments" * "fix based comments" * "remove persistable flag from framework.proto" * "add IndicateDataType to restore op" * "add save test" * "modify save restore code" * "modified the restore logic" * rm checkpoint_op.cc * rm test_checkpoint_op.py * "get inputs outputs name from execution context" * Saving each variable to a independent file * Fix bugs * Rewrite save_restore_op_test with new Python framework * Move `SaveOp` and `RestoreOp` from OpWithKernel to OpBase * Refine unit test of SaveOp and RestoreOp * fix compile errorwq
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- 20 10月, 2017 1 次提交
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由 Yu Yang 提交于
* Remove template parameter for Tensor methods * Also check the type is correct when data() * Simplize holder_ * Fix accuracy_op * Register Code
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- 17 10月, 2017 1 次提交
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由 caoying03 提交于
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