问题：
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() or autograd.grad() the first time.
解决办法： 首先应该明白一件事，与XXX.backward() 中 XXX 有计算关系的所有变量均存在
grad_fn 关系，梯度回传的目的是为了更新网络中权重和偏移量的值，所有与梯度回传过程中计算权重和偏移量无关的变量均应 .detach() 处理，避免发生此类错误。
reference:
报错RuntimeError: Trying to backward through the graph a second time, but the saved intermediate results have already been freed - Rogn - 博客园
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