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Using allreduce_avg to eliminate scale in auto parallel DP by From00 · Pull Request #61622 · PaddlePaddle/Paddle · GitHub
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Using allreduce_avg to eliminate scale in auto parallel DP #61622
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Merged
From00
merged 19 commits into
PaddlePaddle:develop
from
From00:using-allruduce-avg-to-eliminate-scale-in-auto-parallel-dp
Mar 5, 2024
Merged
Using allreduce_avg to eliminate scale in auto parallel DP #61622
From00
merged 19 commits into
PaddlePaddle:develop
from
From00:using-allruduce-avg-to-eliminate-scale-in-auto-parallel-dp
Mar 5, 2024
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你的PR提交成功，感谢你对开源项目的贡献! |
… using-allruduce-avg-to-eliminate-scale-in-auto-parallel-dp
JZ-LIANG
approved these changes
Mar 4, 2024
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LGTM
risemeup1
approved these changes
Mar 4, 2024
zhangbo9674
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Mar 4, 2024
zhiqiu
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Mar 5, 2024
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LGTM
heavyrain-lzy
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Mar 5, 2024
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LGTM
sunzhongkai588
approved these changes
Mar 5, 2024
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LGTM 改一次要重跑 CI，单独提一个文档的 PR 吧
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- API暴露给官网的话，文档写的过于简单了，请参考英文模板
- 中文也同步补充
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好，后续另提PR补充。
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补充文档PR
英文：#62480
中文：PaddlePaddle/docs#6515
XiaoguangHu01
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Mar 5, 2024
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LGTM
YuanRisheng
approved these changes
Mar 5, 2024
wanghuancoder
approved these changes
Mar 5, 2024
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PR types
Performance optimization
PR changes
Others
Description
Pcard-76459
使用
allreduce_avg算子替代数据并行中用于梯度同步通信的allreduce_sum + scale模式，提升通信效率，同时让所有通信操作在网络中连续，避免scale计算算子影响sharding中的通信fusion优化策略。通过
auto_parallel.strategy.gradient_scale_using_allreduce_avg参数控制开启，且仅在NCCL版本>=2.10时生效。在A800单机8卡环境下测试llama1-13B-PP2-SD4-GBS128-ACC32模型，性能提升约2%。此PR中配套进行了以下工作：
allreduce_avg和reduce_avg通信算子。nccl_versionAPI，用于判断nccl版本。PaddleNLP组网开关适配相关PR：PaddlePaddle/PaddleNLP#8021