Lightning-AI/pytorch-lightning 1.0.0

1.0.0 - General availability

on GitHub

Overview

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Detail changes

• Added Explained Variance Metric + metric fix (#4013)
• Added Metric <-> Lightning Module integration tests (#4008)
• Added parsing OS env vars in Trainer (#4022)
• Added classification metrics (#4043)
• Updated explained variance metric (#4024)
• Enabled plugins (#4041)
• Enabled custom clusters (#4048)
• Enabled passing in custom accelerators (#4050)
• Added LightningModule.toggle_optimizer (#4058)
• Added LightningModule.manual_backward (#4063)

Changed

• Integrated metrics API with self.log (#3961)
• Decoupled Appex (#4052, #4054, #4055, #4056, #4058, #4060, #4061, #4062, #4063, #4064, #4065)
• Renamed all backends to Accelerator (#4066)
• Enabled manual returns (#4089)

Removed

• Removed output argument from *_batch_end hooks (#3965, #3966)
• Removed output argument from *_epoch_end hooks (#3967)
• Removed support for EvalResult and TrainResult (#3968)
• Removed deprecated trainer flags: overfit_pct, log_save_interval, row_log_interval (#3969)
• Removed deprecated early_stop_callback (#3982)
• Removed deprecated model hooks (#3980)
• Removed deprecated callbacks (#3979)
• Removed trainer argument in LightningModule.backward [#4056)

Fixed

• Fixed current_epoch property update to reflect true epoch number inside LightningDataModule, when reload_dataloaders_every_epoch=True. (#3974)
• Fixed to print scaler value in progress bar (#4053)
• Fixed mismatch between docstring and code regarding when on_load_checkpoint hook is called (#3996)

Contributors

@ananyahjha93, @Borda, @edenlightning, @hbredin, @rohitgr7, @SkafteNicki, @teddykoker, @williamFalcon

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