【pytorch异常处理】使用释放的图资源

最新推荐文章于 2025-03-07 11:01:39 发布

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最新推荐文章于 2025-03-07 11:01:39 发布

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分类专栏： pytorch

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在PyTorch中遇到'RuntimeError: Trying to backward through the graph a second time...'的问题，主要是因为默认情况下，中间计算结果在第一次反向传播后会被释放以节省内存。为了解决这个问题，需要在第一次调用.backward()时设置retain_graph=True，这样可以保留中间结果以便于后续再次反向传播。记住，除了最后一次反向传播，所有其他次都应该设置此选项。

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【error】Trying to backward through the graph a second time, but the saved intermediate results have already been freed

RuntimeError: Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time.

问题原因：

To reduce memory usage, during the .backward() call, all the intermediary results are deleted when they are not needed anymore. Hence if you try to call .backward() again, the intermediary results don’t exist and the backward pass cannot be performed (and you get the error you see).
You can call .backward(retain_graph=True) to make a backward pass that will not delete intermediary results, and so you will be able to call .backward() again. All but the last call to backward should have the retain_graph=True option.

处于减少使用内存资源，每次执行完backward时，一些中间结果会被释放。如果此时使用了这些值，可能会出现该问题。

如果一定要使用，可以在backward函数中添加参数retain_graph=True

参考连接：https://discuss.pytorch.org/t/runtimeerror-trying-to-backward-through-the-graph-a-second-time-but-the-buffers-have-already-been-freed-specify-retain-graph-true-when-calling-backward-the-first-time/6795