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support pir_p_to_s_reshard and test by smile2game · Pull Request #69265 · PaddlePaddle/Paddle · GitHub
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你的PR提交成功，感谢你对开源项目的贡献! |
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please add unittest in test/auto_parallel/pir/CMakeLists.txt to solve issue of PR-CI-Coverage |
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python/paddle/distributed/auto_parallel/static/reshard_funcs/p_to_s_reshard_func.py
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| paddle.base.libpaddle.pir.create_op_dist_attribute( | ||
| dst_dist_attr.process_mesh, | ||
| [dst_dist_attr], | ||
| [dst_dist_attr], |
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The 'dist_attr' seems wrong. The 2nd and 3rd argument of 'create_op_dist_attribute' are the distributed attribute of the op's operands and results. Here operand's dist_attr is set with the result's dist_attr
| @@ -0,0 +1,49 @@ | |||
| # Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved. | |||
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Add this unit test file to CMakeList.txt. Fix the year 2023 -> 2024
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LGTM
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LGTM
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PR Category
Auto Parallel
PR Types
New features
Description
本次 PR 添加了
p_to_r_unbalanced_reshard函数，用于处理不平衡的重新分片操作。该函数旨在优化数据分布，确保在资源分配不均的情况下，能够高效地进行数据重新分片。主要改进为：通过引入
p_to_r_unbalanced_reshard函数，系统在面对不平衡负载时能够更灵活地进行资源调整，提升了整体性能和可靠性。