def METHOD_NAME():
    parser = argparse.ArgumentParser(description='Inference xception network.')
    parser.add_argument("--model_def", type=str,
                        required=True, help="Model definition file")
    parser.add_argument("--model_data", type=str,
                        help="Caffemodel data, only for caffe model")
    parser.add_argument("--net_input_dims", type=str,
                        default="224,224", help="(h,w) of net input")
    parser.add_argument("--input", type=str, required=True,
                        help="Input image for testing")
    parser.add_argument("--output", type=str, required=True,
                        help="Output image after classification")
    parser.add_argument("--category_file", type=str, required=True,
                        help="The index file of 1000 object categories")
    args = parser.METHOD_NAME()
    return args