code: def get_torchvision_models():
      model_urls = dict()
      for _, name, ispkg in pkgutil.walk_packages(
          torchvision.models.__path__
      ):
          if ispkg:
              continue
          _zoo = import_module(f"torchvision.models.{name}")
          if hasattr(_zoo, "model_urls"):
              _urls = getattr(_zoo, "model_urls")
              model_urls.update(_urls)
      return model_urls
  
imports: import io
  import os
  import os.path
  import pkgutil
  import time
  import warnings
  from collections import OrderedDict
  from importlib import import_module
  from tempfile import TemporaryDirectory
  import torch
  import torchvision
  from torch.optim import Optimizer
  from torch.utils import model_zoo
  from torch.nn import functional
  import annotator.uniformer.mmcv
  from annotator.uniformer.mmcv.fileio import FileClient
  from annotator.uniformer.mmcv.fileio import load
  from annotator.uniformer.mmcv.parallel import is_module_wrapper
  from annotator.uniformer.mmcv.utils import mkdir_or_exist
  from annotator.uniformer.mmcv.runner import get_dist_info
label_desc: Use image node_id 6 for calling a global function with example usage: get_torchvision_models() and returns: model_urls