code: def size2str(torch_size):
      if isinstance(torch_size, torch.Size):
          return size_to_str(torch_size)
      if isinstance(
          torch_size, (torch.FloatTensor, torch.cuda.FloatTensor)
      ):
          return size_to_str(torch_size.size())
      if isinstance(torch_size, torch.autograd.Variable):
          return size_to_str(torch_size.data.size())
      if isinstance(torch_size, tuple) or isinstance(torch_size, list):
          return size_to_str(torch_size)
      raise TypeError
  
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 4 for calling a global function with example usage: size2str(torch_size) and returns: size_to_str, size_to_str, size_to_str, size_to_str