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Forked from PaddlePaddle/models
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证有效的领先模型)
Python 1
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547 contributions in the last year
Activity overview
Contributed to
PaddlePaddle/Paddle,
PaddlePaddle/FluidDoc,
zhouwei25/cuda_error
and 5 other
repositories
Contribution activity
December 2020
Created 7 commits in 2 repositories
Created a pull request in PaddlePaddle/Paddle that received 2 comments
[cherry-pick] Support deepcopy for Layer/Tensor/Paramerbase
PR types New features
PR changes APIs
Describe Cherry-pick #29387
Support deepcopy for Layer/Tensor/Paramerbase.
deep copy Layer
class MLP(paddle.…
+242
−27
•
2
comments
Opened 10 other pull requests in 2 repositories
PaddlePaddle/Paddle
2
open
5
merged
1
closed
- fix cache pip error
- fix cache pip error
- change the code format of paddle_build.bat
- running unit test parallely on windows
- [cherry-pick]fix that parameters'grad has grad var
- Revert "accumulate gradient for leaf tensor with previous graph and expose leaf tensor concept"
- fix that parameters'grad has grad var
- support deepcopy for Layer/Tensor/Paramerbase
PaddlePaddle/FluidDoc
2
merged
Reviewed 16 pull requests in 1 repository
PaddlePaddle/Paddle 16 pull requests
- Add approval monitor for unity_build_rule.cmake
- Windows generate pdb and dump, for debug
- Add the strategy of skipping cc/cu test compilation and execution in CI
- Fix Windows Unittest
- Disable Windows mult-GPU Unittest test_feed_data_check_shape_type
- Reduce Batch Size for Windows GPU Test
- fix increamental coverage script bug
- Fix test_mobile_net random failed on windows GPU
- Print ccache/clcache hit rate
- Fix a part of unittests on windows
- Compiling operator libraries with Unity build
- [Cheery-Pick][Dy2stat] Add a decorator paddle.jit.not_to_static to support that not to convert a function in Dynamic-to-Static.
- Fix matmul_v2 ut for windows
- Fix matmul_v2 ut for windows
- [Dy2stat] Support that do not convert a function when use Dynamic-to-Stat
- [inplace] Add ShareHolderWith for class Variable and SharePlaceholderWith in VarBase.detach() to share the same Tensor/SelectedRows