code: def hidden_dim(self):
      upbound = 1024 // self.nhead
      head_dim = random.choice(range(1, upbound + 1))
      hs = head_dim * self.nhead * self.io_factor
      return hs
  
imports: import random
  import time
  from collections import OrderedDict
  import numpy
  import torch
label_desc: Use image node_id 4 for calling the TestDecorator obj's underlying member method code with example usage: obj.hidden_dim() and returns: hs