LightningArgumentParser

class lightning.pytorch.cli.LightningArgumentParser(*args, description='Lightning Trainer command line tool', env_prefix='PL', default_env=False, **kwargs)

Bases: object

Extension of jsonargparse’s ArgumentParser for pytorch-lightning.

Initialize argument parser that supports configuration file input.

For full details of accepted arguments see ArgumentParser.__init__.

Parameters:

• description (str) – Description of the tool shown when running --help.

• env_prefix (str) – Prefix for environment variables. Set default_env=True to enable env parsing.

• default_env (bool) – Whether to parse environment variables.

add_lightning_class_args(lightning_class, nested_key, subclass_mode=False, required=True)

Adds arguments from a lightning class to a nested key of the parser.

Parameters:

• lightning_class (Union[Callable[..., Union[Trainer, LightningModule, LightningDataModule, Callback]], type[Trainer], type[LightningModule], type[LightningDataModule], type[Callback]]) – A callable or any subclass of {Trainer, LightningModule, LightningDataModule, Callback}.

• nested_key (str) – Name of the nested namespace to store arguments.

• subclass_mode (bool) – Whether allow any subclass of the given class.

• required (bool) – Whether the argument group is required.

Return type:

list[str]

Returns:

A list with the names of the class arguments added.

add_lr_scheduler_args(lr_scheduler_class=(<class 'torch.optim.lr_scheduler.LRScheduler'>, <class 'lightning.pytorch.cli.ReduceLROnPlateau'>), nested_key='lr_scheduler', link_to='AUTOMATIC')

Adds arguments from a learning rate scheduler class to a nested key of the parser.

Parameters:

• lr_scheduler_class (Union[type[LRScheduler], type[ReduceLROnPlateau], tuple[Union[type[LRScheduler], type[ReduceLROnPlateau]], ...]]) – Any subclass of torch.optim.lr_scheduler.{_LRScheduler, ReduceLROnPlateau}. Use tuple to allow subclasses.

• nested_key (str) – Name of the nested namespace to store arguments.

• link_to (str) – Dot notation of a parser key to set arguments or AUTOMATIC.

Return type:

None

add_optimizer_args(optimizer_class=(<class 'torch.optim.optimizer.Optimizer'>, ), nested_key='optimizer', link_to='AUTOMATIC')

Adds arguments from an optimizer class to a nested key of the parser.

Parameters:

• optimizer_class (Union[type[Optimizer], tuple[type[Optimizer], ...]]) – Any subclass of torch.optim.Optimizer. Use tuple to allow subclasses.

• nested_key (str) – Name of the nested namespace to store arguments.

• link_to (str) – Dot notation of a parser key to set arguments or AUTOMATIC.

Return type:

None