Comments (2)
Yes, this would be a more proper way of doing this. I think here we are suppressing the annoying warning about the align_corners from torch.nn.functional.interpolate.
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Yeah this is definitely more nitpicky an issue for sure... I have had my experiences with a crazy number of warnings from nn.functional
too. If at some point I can pin down exactly where the errors come from (and ensure I don't miss any), I will make this change. For now I'd say this is low priority. After all, it's only suppressing warnings, not errors, which by definition shouldn't really impact the code.
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Related Issues (13)
- Improve documentation HOT 1
- Extend to multi-channel data
- VAE with invariance to 3D rotations
- Suggestion: consistent numpy documentation style HOT 3
- Question: import style modification HOT 1
- User should be able to override default device even if a GPU is accessible HOT 7
- dx_pri and dy_pri unclear documentation HOT 3
- Suggestion: implement mypy type checking HOT 3
- Refactor the models classes due to repetition HOT 2
- Manifold traversals for 1D data in joint iVAE
- Add self.encode_and_predict method to iVAE HOT 1
- Regarding post analysis of trained vae. HOT 1
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