def METHOD_NAME():
    parser = config_argparse.ArgumentParser(
        description="Punctuation inference",
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
    )
    parser.add_argument(
        "--log_level",
        type=lambda x: x.upper(),
        default="INFO",
        choices=("CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG", "NOTSET"),
        help="The verbose level of logging",
    )
    parser.add_argument("--output_dir", type=str, required=True)
    parser.add_argument("--gpuid_list", type=str, required=True)
    parser.add_argument(
        "--ngpu",
        type=int,
        default=0,
        help="The number of gpus. 0 indicates CPU mode",
    )
    parser.add_argument("--seed", type=int, default=0, help="Random seed")
    parser.add_argument("--njob", type=int, default=1, help="Random seed")
    parser.add_argument(
        "--dtype",
        default="float32",
        choices=["float16", "float32", "float64"],
        help="Data type",
    )
    parser.add_argument(
        "--num_workers",
        type=int,
        default=1,
        help="The number of workers used for DataLoader",
    )
    parser.add_argument(
        "--batch_size",
        type=int,
        default=1,
        help="The batch size for inference",
    )
    group = parser.add_argument_group("Input data related")
    group.add_argument("--data_path_and_name_and_type", type=str2triple_str, action="append", required=False)
    group.add_argument("--raw_inputs", type=str, required=False)
    group.add_argument("--key_file", type=str_or_none)
    group.add_argument("--cache", type=list, required=False)
    group.add_argument("--param_dict", type=dict, required=False)
    group = parser.add_argument_group("The model configuration related")
    group.add_argument("--train_config", type=str)
    group.add_argument("--model_file", type=str)
    group.add_argument("--mode", type=str, default="punc")
    return parser