code: def load_traced_script() -> tuple[ScriptModule, dict[str, t.Any]]:
      extra_files = {"config.txt": ""}
      model = torch.jit.load(
          MODEL_FILE.with_suffix(".torchscript").__fspath__(),
          map_location=TORCH_DEVICE,
          _extra_files=extra_files,
      )
      d = {"shape": [], "stride": 32, "names": {}}
      if extra_files["config.txt"]:
          d = json.loads(
              extra_files["config.txt"],
              object_hook=lambda d: {
                  int(k) if k.isdigit() else k: v for k, v in d.items()
              },
          )
      return model, d
  
imports: from __future__ import annotations
  import json
  import os
  import time
  import typing
  from pathlib import Path
  import attr
  import cv2
  import numpy
  import torch
  import torchvision
  from PIL import Image
label_desc: Use image node_id 1 for calling a global function with example usage: load_traced_script() and returns: model,  d