Method __init__

python/ray/train/base_trainer.py:233–265

(
        self,
        *,
        scaling_config: Optional[ScalingConfig] = None,
        run_config: Optional[RunConfig] = None,
        datasets: Optional[Dict[str, GenDataset]] = None,
        metadata: Optional[Dict[str, Any]] = None,
        resume_from_checkpoint: Optional[Checkpoint] = None,
    )

    _fields_for_tuner_param_space = []

    def __init__(
        self,
        *,
        scaling_config: Optional[ScalingConfig] = None,
        run_config: Optional[RunConfig] = None,
        datasets: Optional[Dict[str, GenDataset]] = None,
        metadata: Optional[Dict[str, Any]] = None,
        resume_from_checkpoint: Optional[Checkpoint] = None,
    ):
        self.scaling_config = (
            scaling_config if scaling_config is not None else ScalingConfig()
        )
        self.run_config = (
            copy.copy(run_config) if run_config is not None else RunConfig()
        )
        self.metadata = metadata
        self.datasets = datasets if datasets is not None else {}
        self.starting_checkpoint = resume_from_checkpoint

        if _v2_migration_warnings_enabled():
            if metadata is not None:
                _log_deprecation_warning(_GET_METADATA_DEPRECATION_MESSAGE)
            if resume_from_checkpoint is not None:
                _log_deprecation_warning(_RESUME_FROM_CHECKPOINT_DEPRECATION_WARNING)

        # These attributes should only be set through `BaseTrainer.restore`
        self._restore_path = None
        self._restore_storage_filesystem = None

        self._validate_attributes()

        usage_lib.record_library_usage("train")
        air_usage.tag_air_trainer(self)

    @classmethod
    @Deprecated(message=_TRAINER_RESTORE_DEPRECATION_WARNING)