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Currently TorchFix tries to follow latest PyTorch main for things like deprecated APIs.
This is not ideal for people who want to use a specific release, for example.
So every rule should be annotated for which PyTorch (and also TorchVision and other libraries where applicable) version it applies, and there should be a configuration parameter for TorchFix to pass the version.
The text was updated successfully, but these errors were encountered:
Currently TorchFix tries to follow latest PyTorch main for things like deprecated APIs.
This is not ideal for people who want to use a specific release, for example.
So every rule should be annotated for which PyTorch (and also TorchVision and other libraries where applicable) version it applies, and there should be a configuration parameter for TorchFix to pass the version.
The text was updated successfully, but these errors were encountered: