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文章目录

  • 问题描述：
  • 原因分析：
  • 解决方案：

问题描述：

在使用 PyTorch 训练模型时出现如下问题 RuntimeError: Trying to backward through the graph a second time (or directly access saved tensors after they have already been freed). Saved intermediate values of the graph are freed when you call .backward() or autograd.grad(). Specify retain_graph=True if you need to backward through the graph a second time or if you need to access saved tensors after calling backward.

Traceback

文章目录

  • 问题描述：
  • 原因分析：
  • 解决方案：

问题描述：

在使用 PyTorch 训练模型时出现如下问题 RuntimeError: Trying to backward through the graph a second time (or directly access saved tensors after they have already been freed). Saved intermediate values of the graph are freed when you call .backward() or autograd.grad(). Specify retain_graph=True if you need to backward through the graph a second time or if you need to access saved tensors after calling backward.

Traceback

本文标签： TimeGraphRuntimeErrortensorssaved

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