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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.
In DeepSVDD, why is the
loss.backward()
commented out?At this line:
pyod/pyod/models/deep_svdd.py
Line 355 in 2a80ac8
Thanks!
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