Lightning-AI/pytorch-lightning 1.5.7

Standard weekly patch release

on GitHub

[1.5.7] - 2021-12-21

Fixed

• Fixed NeptuneLogger when using DDP (#11030)
• Fixed a bug to disable logging hyperparameters in logger if there are no hparams (#11105)
• Avoid the deprecated onnx.export(example_outputs=...) in torch 1.10 (#11116)
• Fixed an issue when torch-scripting a LightningModule after training with Trainer(sync_batchnorm=True) (#11078)
• Fixed an AttributeError occuring when using a CombinedLoader (multiple dataloaders) for prediction (#11111)
• Fixed bug where Trainer(track_grad_norm=..., logger=False) would fail (#11114)
• Fixed an incorrect warning being produced by the model summary when using bf16 precision on CPU (#11161)

Changed

• DeepSpeed does not require lightning module zero 3 partitioning (#10655)
• The ModelCheckpoint callback now saves and restores attributes best_k_models, kth_best_model_path, kth_value, and last_model_path (#10995)

Contributors

@awaelchli @borchero @carmocca @guyang3532 @kaushikb11 @ORippler @Raalsky @rohitgr7 @SeanNaren

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