code: def optimizer_device_name(opt):
      return str(list(list(opt.state)[0])[0].device)
  
imports: import argparse
  from collections import OrderedDict
  from copy import deepcopy
  import logging
  import operator
  import random
  import numpy
  import torch
  import torch.nn
  import torch.backends.cudnn
  import yaml
  import inspect
label_desc: Use image node_id 2 for calling a global function with example usage: optimizer_device_name(opt) and returns: str