def METHOD_NAME():
    """
    Args used for running 3D UNet KITS19
    """
    parser = argparse.ArgumentParser(description=__doc__,
                                     formatter_class=argparse.RawTextHelpFormatter)
    parser.add_argument("--backend",
                        choices=["pytorch", "pytorch_checkpoint", "onnxruntime", "tensorflow"],
                        default="pytorch",
                        help="Backend")
    parser.add_argument("--scenario",
                        choices=["SingleStream", "Offline"],
                        default="Offline",
                        help="Scenario")
    parser.add_argument("--accuracy",
                        action="store_true",
                        help="enable accuracy pass")
    parser.add_argument("--mlperf_conf",
                        default="build/mlperf.conf",
                        help="mlperf rules config")
    parser.add_argument("--user_conf",
                        default="user.conf",
                        help="user config for user LoadGen settings such as target QPS")
    parser.add_argument("--audit_conf",
                        default="audit.conf",
                        help="audit config for LoadGen settings during compliance runs")
    parser.add_argument("--model",
                        default="build/model/3dunet_kits19_pytorch.ptc",
                        help="Path to PyTorch, ONNX, or TF model")
    parser.add_argument("--preprocessed_data_dir",
                        default="build/preprocessed_data",
                        help="path to preprocessed data")
    parser.add_argument("--performance_count",
                        type=int,
                        default=None,
                        help="performance count")
    args = parser.parse_args()
    return args