code: def compare_tensor_tuples(tup1, tup2):
      if len(tup1) != len(tup2):
          return False
      for col1, col2 in zip(tup1, tup2):
          if not torch.equal(col1, col2):
              return False
      return True
  
imports: import math
  import numpy
  import os
  from typing import Generator, Union, Sequence
  import torch
  import torch.utils.data.dataset
label_desc: Use image node_id 4 for calling a global function with example usage: compare_tensor_tuples(tup1, tup2) and returns: True, False, False