code: def parse_args():
      parser = argparse.ArgumentParser(
          description="Test with srgan gan networks."
      )
      parser.add_argument(
          "--images",
          type=str,
          required=True,
          help="Test images, use comma to split multiple.",
      )
      parser.add_argument(
          "--gpu_id",
          type=str,
          default="0",
          help="gpu id: e.g. 0. use -1 for CPU",
      )
      parser.add_argument(
          "--pretrained",
          type=str,
          required=True,
          help="Load weights from previously saved parameters.",
      )
      args = parser.parse_args()
      return args
  
imports: from train_srgan import SRGenerator
  import mxnet
  from mxnet.gluon.data.vision import transforms
  from matplotlib import pyplot
  from gluoncv.utils import try_import_cv2
  from mxnet import image
  import argparse
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args