Comments (3)
njcx-ai
commented on July 21, 2024
您好，很抱歉代码中随机种子固定的策略可能有遗漏。
如果种子设置没问题的话，结果还是不一样可能是torch.backends.cudnn.benchmark的问题。这是python调用cudnn来加速卷积的一个机制。解决方法是将torch.backends.cudnn.benchmark = False，然后直接加一句torch.backends.cudnn.deterministic = True。
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yxy0102
commented on July 21, 2024
作者你好，我也遇到了这个问题，并且我在set_seed里加入了您说的那两行代码，但是每次的结果还是在变化，还有什么解决办法吗
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zxlzr
commented on July 21, 2024
您好，我建议您检查下是否还有部分参数的种子没有fix，我也不是很清楚您这种情况非常抱歉。
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