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Hmmm, thanks @mdmarti! If I understood the thread (here), this is a PyTorch issue that will be fixed in 1.12.1, so it's only an issue with torch 1.12.0. If that's the case, I like @NickleDave's suggestion of just changing the requirements in setup.py, so option 1. Option 2 seems a bit hacky to me and we probably don't want to slow down training with the capturable flag if it can be helped.
Howdy! When using torch=1.12.0, this issue comes up. To avoid this, I think we could
Any preferences among these? Any other solutions that would be better?
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