RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation

[YoungSeng]

Hello, thank you for your geart work!

Here is a question. When I set skeleton_aware=0,

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Traceback (most recent call last):
  File "train.py", line 132, in <module>
    main()
  File "train.py", line 114, in main
    joint_train(reals, gens[:curr_stage], group_gan_models, lengths,
  File "/nfs7/y50021900/ganimator/models/architecture.py", line 71, in joint_train
    list(map(optimize_lambda, gan_models))
  File "/nfs7/y50021900/ganimator/models/architecture.py", line 68, in <lambda>
    optimize_lambda = lambda x: x.optimize_parameters(gen=True, disc=False, rec=False)
  File "/nfs7/y50021900/ganimator/models/gan1d.py", line 164, in optimize_parameters
    self.backward_G()
  File "/nfs7/y50021900/ganimator/models/gan1d.py", line 136, in backward_G
    loss_total.backward(retain_graph=True)
  File "/nfs7/y50021900/miniconda3/envs/ganimator/lib/python3.8/site-packages/torch/_tensor.py", line 307, in backward
    torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs)
  File "/nfs7/y50021900/miniconda3/envs/ganimator/lib/python3.8/site-packages/torch/autograd/__init__.py", line 154, in backward
    Variable._execution_engine.run_backward(
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [429, 256, 1, 5]], which is output 0 of AsStridedBackward0, is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

How can I fix it?

[PeizhuoLi]

Hi, thanks for your question. The skeleton_aware option is part of the legacy code that is not maintained any more. Such an error is very difficult to fix and we will probably remove it in the next version.