code: def io_factor(self):
      if self.dtype == torch.float32:
          return 4
      else:
          return 8
  
imports: import random
  import time
  from collections import OrderedDict
  import numpy
  import torch
label_desc: Use image node_id 5 for calling the TestDecorator obj's underlying member method code with example usage: obj.io_factor() and returns: int, int