code: def initialize_pretrained_model(model, num_classes, settings):
      assert (
          num_classes == settings["num_classes"]
      ), "num_classes should be {}, but is {}".format(
          settings["num_classes"], num_classes
      )
      model.load_state_dict(model_zoo.load_url(settings["url"]))
      model.input_space = settings["input_space"]
      model.input_size = settings["input_size"]
      model.input_range = settings["input_range"]
      model.mean = settings["mean"]
      model.std = settings["std"]
  
imports: from __future__ import print_function, division, absolute_import
  import math
  from collections import OrderedDict
  import torch.nn
  from torch.utils import model_zoo
label_desc: Use image node_id 1 for calling a global function with example usage: initialize_pretrained_model(model, num_classes, settings) without return types