code: def count_parameters_in_MB(model):
      return (
          np.sum([np.prod(v.size()) for v in model.parameters()]) / 1e6
      )
  
imports: import math
  import os
  import random
  import sys
  import time
  import warnings
  import numpy
  import numpy
  import shutil
  import logging
  import torch
  import torchvision.transforms
  import torchvision.datasets
  import torch.nn
label_desc: Use image node_id 11 for calling a global function with example usage: count_parameters_in_MB(model) and returns: unknown