Comments (2)
I've seen this error with another model. We will investigate this issue. I'll keep it open for future updates.
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Hello, figured out the same issue, by using the example notebook (cnn_pred_explain) in the git repository. Is there a work around? If I try adjusting the files to inp.clone().detach().requires_grad_(True) I get another Error --> seems not to work:
RuntimeError: set_sizes_and_strides is not allowed on a Tensor created from .data or .detach().
If your intent is to change the metadata of a Tensor (such as sizes / strides / storage / storage_offset)
without autograd tracking the change, remove the .data / .detach() call and wrap the change in a with torch.no_grad():
block.
For example, change:
x.data.set_(y)
to:
with torch.no_grad():
x.set_(y)
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