pytorch-lightning 1.5.1 on Python PyPI

[1.5.1] - 2021-11-09

Fixed apply_to_collection(defaultdict) (#10316)
Fixed failure when DataLoader(batch_size=None) is passed (#10345)
Fixed interception of __init__ arguments for sub-classed DataLoader re-instantiation in Lite (#10334)
Fixed issue with pickling CSVLogger after a call to CSVLogger.save (#10388)
Fixed an import error being caused by PostLocalSGD when torch.distributed not available (#10359)
Fixed the logging with on_step=True in epoch-level hooks causing unintended side-effects. Logging with on_step=True in epoch-level hooks will now correctly raise an error (#10409)
Fixed deadlocks for distributed training with RichProgressBar (#10428)
Fixed an issue where the model wrapper in Lite converted non-floating point tensors to float (#10429)
Fixed an issue with inferring the dataset type in fault-tolerant training (#10432)
Fixed dataloader workers with persistent_workers being deleted on every iteration (#10434)

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