[XPU] fix the dataloader problem in RDMA env #54150
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When running multi-machine training with Paddle DataLoader, an unexpected segmentfault will be raised in DataLoader Process, where the traceback goes all back to a runtime error that dataloader workers exit unexpectedly. Similar problems have been discussed that lead to a misbehavior of OpenCV working in multiprocessing environment. See https://stackoverflow.com/questions/54013846/pytorch-dataloader-stucked-if-using-opencv-resize-method
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[Unresolved] whether gpu has a similar problem. 王贤明 recalled that gpu also have this issue, but no conclusive evidents were ever-present. |
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Sorry to inform you that 9154033's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually. |
spawn method raise error 'Can't pickle local object' in some situations
XiaociZhang
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houj04
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Jun 28, 2023
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)" This reverts commit 15c8752.
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cqulilujia
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)" (PaddlePaddle#55150) This reverts commit 15c8752.
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Description
When running multi-machine training with Paddle DataLoader, an unexpected segmentfault will be raised in dataloader process, where the traceback goes all back to a runtime error that dataloader workers exit unexpectedly. Similar problems have been discussed that lead to a misbehavior of OpenCV working in multiprocessing environment.
See
https://stackoverflow.com/questions/54013846/pytorch-dataloader-stucked-if-using-opencv-resize-method