code: def parse_args():
      parser = argparse.ArgumentParser(description="Test")
      parser.add_argument("--config", help="The config file.", type=str)
      parser.add_argument(
          "--model_path", help="The pretrained weights file.", type=str
      )
      parser.add_argument(
          "--onnx_model_path",
          help="If set onnx_model_path, it loads the onnx "
          "model and infer it by TRT",
          type=str,
      )
      parser.add_argument(
          "--save_dir",
          help="The directory for saving the predict result.",
          type=str,
          default="./output/tmp",
      )
      parser.add_argument(
          "--trt_version",
          help="The version of TRT that is 5 or 7",
          type=int,
          default=7,
      )
      parser.add_argument(
          "--width", help="width", type=int, default=1024
      )
      parser.add_argument(
          "--height", help="height", type=int, default=512
      )
      parser.add_argument("--warmup", default=500, type=int, help="")
      parser.add_argument("--repeats", default=2000, type=int, help="")
      parser.add_argument(
          "--enable_profile",
          action="store_true",
          help="enable trt profile",
      )
      parser.add_argument(
          "--print_model",
          action="store_true",
          help="print model to log",
      )
  
      return parser.parse_args()
  
imports: import argparse
  import os
  import time
  import numpy
  import paddle
  import tensorrt
  import pycuda.driver
  import pycuda.autoinit
  import onnx
  import onnxruntime
  from paddleseg.cvlibs import Config, SegBuilder
  from paddleseg.utils import logger, utils
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser