SaveConfigCallback

class pytorch_lightning.cli.SaveConfigCallback(parser, config, config_filename='config.yaml', overwrite=False, multifile=False)

Bases: pytorch_lightning.callbacks.callback.Callback

Saves a LightningCLI config to the log_dir when training starts.

Parameters:

• parser (LightningArgumentParser) – The parser object used to parse the configuration.

• config (object) – The parsed configuration that will be saved.

• config_filename (str) – Filename for the config file.

• overwrite (bool) – Whether to overwrite an existing config file.

• multifile (bool) – When input is multiple config files, saved config preserves this structure.

Raises:

RuntimeError – If the config file already exists in the directory to avoid overwriting a previous run

setup(trainer, pl_module, stage)

Called when fit, validate, test, predict, or tune begins.

Return type:

None