code: def initialize_pretrained_model(model, num_classes, settings):
      if num_classes != settings["num_classes"]:
          raise AssertionError(
              "num_classes should be {}, but is {}".format(
                  settings["num_classes"], num_classes
              )
          )
      weights = model_zoo.load_url(settings["url"])
      model.load_state_dict(weights)
      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 collections import OrderedDict
  import math
  from .mynn import Norm2d
  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