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[Prim] Mark `reduce_as` no need `target` buffer and use `by_pass` in both dynamic and static shape branch by SigureMo · Pull Request #68491 · PaddlePaddle/Paddle · GitHub
[Prim] Mark
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[Prim] Mark reduce_as no need target buffer and use by_pass in both dynamic and static shape branch
#68491
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Merged
xiaoguoguo626807
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Sep 29, 2024
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…both dynamic and static shape branch
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你的PR提交成功，感谢你对开源项目的贡献! |
zyfncg
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xiaoguoguo626807
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PR Category
Execute Infrastructure
PR Types
Performance
Description
#68302 默认开启动态 shape 后，QA 反馈 PPTSM 开 CINN 显存增加超 5%，初步分析现象如下
根据现象可以发现，开组合后动态 shape 显存是明显高于静态 shape 的，CINN 作为下游同样会高，进一步可以发现是反向拆解动态 shape 会明显高一些
经过分析发现有两个问题
reduce_as没有给target标记no_need_buffer，但这里只需要 meta 信息，不需要 holder，修复后显存从 927 降低到 890 左右（和动转静基线差不多，也就是说静态 shape 下拆解后显存得到了额外优化才到 830，但动态 shape 下没有这部分优化）by_pass，导致显存升高，修改后可以命中，显存降回 830 左右，与静态 shape 拆解基本打平TODOs
by_pass的 OP 修复PCard-66972