pytorch-lightning

fab6fb2d - Docs: Pytorch: Optimization: correct return type of configure_optimizers (#21947)

Docs: Pytorch: Optimization: correct return type of configure_optimizers (#21947) This code example is shown in docs for Optimization: ```python def configure_optimizers(self): optimizer = ... scheduler = torch.optim.lr_scheduler.OneCycleLR( optimizer, max_lr=1e-3, total_steps=self.trainer.estimated_stepping_batches ) return optimizer, scheduler ``` But this raises error: ```python >>> model = MyModel() >>> trainer = ... >>> trainer.fit(model=model, train_dataloaders=train_loader) MisconfigurationException: Unknown configuration for model optimizers. Output from `model.configure_optimizers()` should be one of: * `Optimizer` * [`Optimizer`] * ([`Optimizer`], [`LRScheduler`]) * {"optimizer": `Optimizer`, (optional) "lr_scheduler": `LRScheduler`} ``` It's because return type is wrong in `configure_optimizers`. To fix, changed to returning lists: `return [optimizer], [scheduler]`.