Lightning-AI/pytorch-lightning 1.5.1

Standard weekly patch release

on GitHub

[1.5.1] - 2021-11-09

Fixed

• 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)

Contributors

@EspenHa @four4fish @peterdudfield @rohitgr7 @tchaton @kaushikb11 @awaelchli @Borda @carmocca

If we forgot someone due to not matching commit email with GitHub account, let us know :]