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xixiaoyao avatar xixiaoyao commented on May 30, 2024 1

这个是正常的。cudnn的运算是有随机性的，哪怕种子都固定了，经过若干训练steps的累积，也容易收敛到不同到结果。网上也有一些尝试固定cudnn种子的做法，比如pytorch中

torch.cuda.manual_seed_all(SEED)
torch.backends.cudnn.deterministic=True

你可以尝试一下，我没试过。一般来说大家还是习惯于多次训练取个平均值

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KaiChen1998 avatar KaiChen1998 commented on May 30, 2024

@xixiaoyao 嗯发现了是cudnn的随机性问题，实测这个case中加入这条就可以得到确定的满分答案

torch.backends.cudnn.deterministic=True

Reference: pytorch/pytorch#7068 (comment)

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xixiaoyao avatar xixiaoyao commented on May 30, 2024

好的，赞~

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