code: def load_url(
      url, model_root="/models/pytorch", map_location=None, **kwargs
  ):
      model_root = os.path.expanduser(model_root)
      if not os.path.exists(model_root):
          os.makedirs(model_root)
      filename = url.split("/")[-1]
      cached_file = os.path.join(model_root, filename)
      if not os.path.exists(cached_file):
          sys.stderr.write(
              'Downloading: "{}" to {}\n'.format(url, cached_file)
          )
          urlretrieve(url, cached_file)
      return torch.load(cached_file, map_location=map_location)
  
file_path: pywick/pywick/models/segmentation/testnets/lg_kernel_exfuse/seg_resnext.py
imports: import os
  import sys
  import torch
  import torch.nn
  import math
label_desc: Use image node_id 3 for calling a global function with example usage: load_url(url, model_root, map_location) and returns: torch