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[Fix] Reduce unnecessary GpuMemGetInfo in `Tensor.to` by HydrogenSulfate · Pull Request #70359 · PaddlePaddle/Paddle · GitHub
[Fix] Reduce unnecessary GpuMemGetInfo in
[Fix] Reduce unnecessary GpuMemGetInfo in
HydrogenSulfate
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reduce unnecessary GpuMemGetInfo call by strict cuda copy condition
[Fix] Reduce unnecessary GpuMemGetInfo in Dec 20, 2024
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[Fix] Reduce unnecessary GpuMemGetInfo in Tensor.to
#70359
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Merged
HydrogenSulfate
merged 1 commit into
PaddlePaddle:develop
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HydrogenSulfate:reduce_unnecessary_GpuMemGetInfo
Dec 20, 2024
Merged
[Fix] Reduce unnecessary GpuMemGetInfo in Tensor.to
#70359
HydrogenSulfate
merged 1 commit into
PaddlePaddle:develop
from
HydrogenSulfate:reduce_unnecessary_GpuMemGetInfo
Dec 20, 2024
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你的PR提交成功,感谢你对开源项目的贡献! |
Tensor.to
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Dec 20, 2024
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PR Category
Performance Optimization
PR Types
Performance
Description
Pcard-75624
问题
Tensor.to
方法中,对于device的处理是当src.place在GPU上时会通过core.gpu_memory_available()
计算当前设备上的剩余可用显存,接着后续一系列操作。这个过程中core.gpu_memory_available()
会调用cudaMemGetInfo
,而当.to
操作一多时,会非常频繁地调用cudaMemGetInfo
,导致拖慢整体动态图的运行速度(cudaMemGetInfo看起来会产生一个CPU阻塞效果,API文档也没有相关说明)。Paddle/paddle/phi/core/platform/device/gpu/gpu_info.cc
Lines 71 to 78 in 5859a05
解决方案
修改进入
core.gpu_memory_available
分支的判断条件,仅当t.place(source place)
与device(dst place)
设备类型不同,或者同设备类型但卡号不同时,才进入该copy分支,而不是t.place
只要在GPU上就直接进入分支。从VLOG来看,这一修改可以避免所有step中的cudaMemGetInfo操作,耗时恢复正常。nsys可以看到每个step内已经没有cudaMemGetInfo
