code: def to_item(x):
      """Converts x, possibly scalar and possibly tensor, to a Python scalar."""
      if isinstance(x, (float, int)):
          return x
  
      if float(torch.__version__[0:3]) < 0.4:
          assert (x.dim() == 1) and (len(x) == 1)
          return x[0]
  
      return x.item()
  
imports: from __future__ import print_function
  from collections import defaultdict
  import collections
  from datetime import datetime
  import os
  import json
  import logging
  import numpy
  import pygraphviz
  import torch
  from torch.autograd import Variable
  from PIL import Image
  from PIL import ImageFont
  from PIL import ImageDraw
label_desc: Use image node_id 8 for calling a global function with example usage: to_item(x) and returns: x, x, x