pytorch_lightning.trainer.callback_config module

class pytorch_lightning.trainer.callback_config.TrainerCallbackConfigMixin

Bases: abc.ABC

configure_checkpoint_callback()

Weight path set in this priority: Checkpoint_callback’s path (if passed in). User provided weights_saved_path Otherwise use os.getcwd()

configure_early_stopping(early_stop_callback)

configure_progress_bar()

abstract save_checkpoint(*args)

Warning: this is just empty shell for code implemented in other class.

callbacks: List[Callback] = None

checkpoint_callback: ModelCheckpoint = None

ckpt_path: str = None

default_root_dir: str = None

logger: Union[LightningLoggerBase, bool] = None

process_position: int = None

progress_bar_refresh_rate: int = None

abstract property slurm_job_id

this is just empty shell for code implemented in other class.

Type

Warning

Return type

int

weights_save_path: str = None