I can't simply ignore those arguments out of hyper parameters either because they are inside argument dicts for submodules (and because this would mean hardcoding submodule-specific argument names in the Lightn
Lightning: lightning: 2.0.5 lightning-cloud: 0.5.37 lightning-utilities: 0.9.0 pytorch-ignite: 0.4.12 pytorch-lightning: 2.0.4 torch: 2.0.0 torchaudio: 2.0.1 torchdata: 0.6.0 torchinfo: 1.8.0 torchmetrics: 1.0.0 torchtext: 0.15.1 torchvision: 0.15.1 Packages: absl-py: 1.4.0 accel...