Function run_workflow

monai/bundle/scripts.py:1016–1044

Specify `bundle workflow` to run monai bundle components and workflows. The workflow should be subclass of `BundleWorkflow` and be available to import. It can be MONAI existing bundle workflows or user customized workflows. Typical usage examples: .. code-block:: bash

(
    workflow_name: str | BundleWorkflow | None = None, args_file: str | None = None, **kwargs: Any
)

def run_workflow(
    workflow_name: str | BundleWorkflow | None = None, args_file: str | None = None, **kwargs: Any
) -> None:
    """
    Specify `bundle workflow` to run monai bundle components and workflows.
    The workflow should be subclass of `BundleWorkflow` and be available to import.
    It can be MONAI existing bundle workflows or user customized workflows.

    Typical usage examples:

    .. code-block:: bash

        # Execute this module as a CLI entry with default ConfigWorkflow:
        python -m monai.bundle run_workflow --meta_file <meta path> --config_file <config path>

        # Set the workflow to other customized BundleWorkflow subclass:
        python -m monai.bundle run_workflow --workflow_name CustomizedWorkflow ...

    Args:
        workflow_name: specified bundle workflow name, should be a string or class, default to "ConfigWorkflow".
        args_file: a JSON or YAML file to provide default values for this API.
            so that the command line inputs can be simplified.
        kwargs: arguments to instantiate the workflow class.

    """

    workflow_ = create_workflow(workflow_name=workflow_name, args_file=args_file, **kwargs)
    workflow_.run()
    workflow_.finalize()


def verify_metadata(