* ref: added data connector
* ref: added data connector
* ref: added data connector
* ref: added data connector
* ref: added data connector
* ref: added data connector
* ref: added data connector
* ref: added data connector
* ref: added data connector
* ref: added data connector
This function has the if statement `if (train_dataloader or val_dataloaders) and datamodule:`.
The issue is similar to that in https://github.com/PyTorchLightning/pytorch-lightning/pull/1560. The problem is that the `if(dl)` translates to `if(bool(dl))`, but there's no dataloader.__bool__ so bool() uses dataloader.__len__ > 0. But... dataloader.__len__ uses IterableDataset.__len__ for IterableDatasets for which __len__ is undefined.
The fix is also the same, the `if dl` should be replaced by `if dl is not None`.
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
* 🎨 warn instead of error out on loaders
* 🐛 test misconfiguration should still fail
* 🚧 .
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Co-authored-by: William Falcon <waf2107@columbia.edu>
William Falcon