- 08 11月, 2022 1 次提交
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由 Nyakku Shigure 提交于
* [CodeStyle][py2][U004] unecessary explicit `object` inheritance in class definition * fix an increment
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- 03 11月, 2022 1 次提交
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由 Nyakku Shigure 提交于
* [CodeStyle][py2][U008] remove unnecessary args in `super()` * remove remained args * revert changes in test_pylayer_op * Revert "revert changes in test_pylayer_op" This reverts commit ff185a9ae738afac3b0264f61bde6c6b7f72e7c4. * revert some changes in example code
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- 23 10月, 2022 1 次提交
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由 Nyakku Shigure 提交于
* update config * re-blacken python code * temporarily disable date and diff_py_file * skip a format
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- 12 10月, 2022 2 次提交
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由 JZ-LIANG 提交于
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由 Nyakku Shigure 提交于
* [CodeStyle][F401] remove unused import in python/paddle/distributed * remove pass * empty commit * Fix ValueError: list.remove(x): x not in list for meta_optimizer_names. Fix ValueError: list.remove(x): x not in list for meta_optimizer_names. * Fix split import. Fix split import. * add noqa after meta_optimizers in factory * restort collective ops * expand `import *` * add noqa after required imports * try to fix APIs without core.ops * Revert "try to fix APIs without core.ops" This reverts commit 6172beaf601e84bf61f2490c12c4739f0edaa5eb. * fix an increment * empty commit * add noqa after required imports * expand `import *`, fix ci error Co-authored-by: NShuangchi He <34329208+Yulv-git@users.noreply.github.com>
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- 16 9月, 2022 1 次提交
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由 JZ-LIANG 提交于
* bugfix * bugfix * typos fixed
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- 15 9月, 2022 1 次提交
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由 Yulong Ao 提交于
* [Auto Parallel] Use c++ dist attr in the completion process * [Auto Parallel] Add minor changes * [Auto Parallel] Use c++ dist attr in the completion process * [Auto Parallel] Add minor changes * [Auto Parallel] Add the serialization process for dist attrs * [Auto Parallel] Remove unnecessary comments * [Auto Parallel] Fix some bugs * [Auto Parallel] Fix the code style * [Auto Parallel] Remove unnecessary impls * [Auto Parallel] Fix the importing error * [Auto Parallel] Fix the copy from bugs of op dist attr * [Auto Parallel] Replace the use of constexpr if * [Auto Parallel] Redesign the shard_tensor, shard_op and ProcessMesh * [Auto Parallel] Change API of the completion unittest * [Auto Parallel] Fix the bug when set_attr an int * [Auto Parallel] Add the unittest for the serialization * [Auto Parallel] Add some unit tests * [Auto Paralle] Unify the strategy * [Auto Parallel] Improve the engine api * [Auto Parallel] Reset the changes made to the framework * [Auto Parallel] Change the engine unittest * [Auto Parallel] Update API of the completion and partitioner * [Auto Parallel] Update unit tests using engine api * update shard annotation * [Auto Parallel] Remove the modifications of other modules * [Auto Parallel] Add docs for APIs * add new strategy * [Auto Parallel] Replace the logger * [Auto Parallel] Restore the test_program.py * [Auto Parallel] Change the import rules * [Auto Parallel] Add the examples for Engine * [Auto Parallel] Do some minor changes * [Auto Parallel] Remove yaml dependency * [Auto Parallel] Fix the unittests * add valid after train * bug fix Co-authored-by: Nzhaoyingli <zhaoyingli@baidu.com> Co-authored-by: Ncaozhou <caozhou@radi.ac.cn> Co-authored-by: Ncaozhou <48191911+Caozhou1995@users.noreply.github.com>
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- 14 9月, 2022 2 次提交
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由 Nyakku Shigure 提交于
* trim trailing whitespace * fix `.cmake-format.py` * revert npu ut changes, avoid npu ci error
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由 JZ-LIANG 提交于
* bugfix (#45332) * dist embedding support lookup table v1 * add unitest * customize wait_comm * group gradients * bugfix * update program
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- 09 9月, 2022 1 次提交
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由 zhaoyingli 提交于
* adapt lazy init and fix pass * add unittest * update comment * fix amp and sharding * remove clip_by_norm
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- 02 9月, 2022 1 次提交
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由 JZ-LIANG 提交于
* bugfix (#45332) * customize wait_comm
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- 25 8月, 2022 1 次提交
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由 JZ-LIANG 提交于
* support high order differential with data parallel overlap * update unitest
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- 23 8月, 2022 1 次提交
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由 JZ-LIANG 提交于
* bugfix * remove scaling * support rescale_grad opt * add unitest
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- 18 8月, 2022 1 次提交
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由 JZ-LIANG 提交于
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- 12 8月, 2022 1 次提交
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由 JZ-LIANG 提交于
* bugfix * remove scaling * support rescale_grad opt
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