pytorch-lightning 1.5.3

Standard weekly patch release

on Python PyPI

[1.5.3] - 2021-11-24

Fixed

• Fixed ShardedTensor state dict hook registration to check if torch distributed is available (#10621)
• Fixed an issue with self.log not respecting a tensor's dtype when applying computations (#10076)
• Fixed LigtningLite _wrap_init popping unexisting keys from DataLoader signature parameters (#10613)
• Fixed signals being registered within threads (#10610)
• Fixed an issue that caused Lightning to extract the batch size even though it was set by the user in LightningModule.log (#10408)
• Fixed Trainer(move_metrics_to_cpu=True) not moving the evaluation logged results to CPU (#10631)
• Fixed the {validation,test}_step outputs getting moved to CPU with Trainer(move_metrics_to_cpu=True) (#10631)
• Fixed signals being registered within threads (#10610)
• Fixed an issue with collecting logged test results with multiple dataloaders (#10522)

Contributors

@ananthsub @awaelchli @carmocca @jiwidi @kaushikb11 @qqueing @rohitgr7 @shabie @tchaton

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