def METHOD_NAME():
    args = parse_args()
    # load config
    cfg = Config.fromfile(args.config)
    cfg.launcher = args.launcher
    if args.cfg_options is not None:
        cfg.merge_from_dict(args.cfg_options)
    # work_dir is determined in this priority: CLI > segment in file > filename
    if args.work_dir is not None:
        # update configs according to CLI args if args.work_dir is not None
        cfg.work_dir = args.work_dir
    elif cfg.get('work_dir', None) is None:
        # use config filename as default work_dir if cfg.work_dir is None
        cfg.work_dir = osp.join('./work_dirs',
                                osp.splitext(osp.basename(args.config))[0])
    cfg.load_from = args.checkpoint
    # TODO: It will be supported after refactoring the visualizer
    if args.show and args.show_dir:
        raise NotImplementedError('--show and --show-dir cannot be set '
                                  'at the same time')
    if args.show or args.show_dir:
        cfg = trigger_visualization_hook(cfg, args)
    if args.tta:
        cfg.test_dataloader.dataset.pipeline = cfg.tta_pipeline
        cfg.tta_model.module = cfg.model
        cfg.model = cfg.tta_model
    # save predictions
    if args.save_preds:
        dump_metric = dict(
            type='DumpResults',
            out_file_path=osp.join(
                cfg.work_dir,
                f'{osp.basename(args.checkpoint)}_predictions.pkl'))
        if isinstance(cfg.test_evaluator, (list, tuple)):
            cfg.test_evaluator = list(cfg.test_evaluator)
            cfg.test_evaluator.append(dump_metric)
        else:
            cfg.test_evaluator = [cfg.test_evaluator, dump_metric]
    # build the runner from config
    if 'runner_type' not in cfg:
        # build the default runner
        runner = Runner.from_cfg(cfg)
    else:
        # build customized runner from the registry
        # if 'runner_type' is set in the cfg
        runner = RUNNERS.build(cfg)
    # start testing
    runner.test()