code: def parse_args():
      parser = argparse.ArgumentParser(
          description="Adapt the pretrained checkpoints from SPTS official "
          "implementation."
      )
      parser.add_argument(
          "model_path", type=str, help="Path to the source model"
      )
      parser.add_argument(
          "out_path", type=str, help="Path to the converted model"
      )
      args = parser.parse_args()
      return args
  
imports: import argparse
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: parse_args() and returns: args