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[Hybrid Performance] Move the cast op of AMP which cast fp32 param to fp16 param to the optimizer #34965
[Hybrid Performance] Move the cast op of AMP which cast fp32 param to fp16 param to the optimizer #34965
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LGTM
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需要验证精度对齐以及给出NPU上的性能提升数据?
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LGTM
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LGTM
…fp32 param to fp16 param to the optimizer (PaddlePaddle#34965)
…ch cast fp32 param to fp16 param to the optimizer (PaddlePaddle#34965) (PaddlePaddle#35296)" This reverts commit 6fb58ae.
PaddlePaddle#35116) (PaddlePaddle#35301)" This reverts commit 2931df5. Revert "[cherry-pick][hybrid performance] optim npu coalesce set constant (PaddlePaddle#35105) (PaddlePaddle#35302)" This reverts commit 12260bd. Revert "[cherry-pick][hybrid performance] optim the grad fuse for pipeline mode by sorting the grad by dtype (PaddlePaddle#35070) (PaddlePaddle#35300)" This reverts commit e69cc21. Revert "[cherry-pick][hybrid performance] Grad fuse for gradient merge under pipeline mode (PaddlePaddle#35004) (PaddlePaddle#35299)" This reverts commit e931cd1. Revert "Add flags to control whether to check Nan value of hccl_allreduce_sum. (PaddlePaddle#35093) (PaddlePaddle#35298)" This reverts commit d4948bc. Revert "[hybrid] Fix row parallel linear bias (PaddlePaddle#35186) (PaddlePaddle#35297)" This reverts commit b36fb03. Revert "[hybrid][npu] fix npu clear float status in pipeline (PaddlePaddle#35165) (PaddlePaddle#35295)" This reverts commit 167685e. Revert "[hybrid npu] fix npu found_finite in hybrid (PaddlePaddle#35134) (PaddlePaddle#35291)" This reverts commit e64105f. Revert "[cherry-pick][Hybrid Performance] Move the cast op of AMP which cast fp32 param to fp16 param to the optimizer (PaddlePaddle#34965) (PaddlePaddle#35296)" This reverts commit 6fb58ae. Revert "[cherry-pick] NPU use squared_l2_norm in GradientClipByGlobalNorm (PaddlePaddle#34836) (PaddlePaddle#35289)" This reverts commit 38c27d5.
PR types
Performance optimization
PR changes
Others
Describe
Move the cast op of AMP which cast fp32 param to fp16 param to the optimizer.
Usage, set
optimize_cast
to True:Test
Test in 1node*8cards 32G V100, with Ernie3.0 model.
Model config, Ernie 3.0 base:
batch size configs:
Performance: