code: def are_state_dict_equal(sd1: Dict, sd2: Dict):
      """
      Compares two state dicts, while logging discrepancies
      """
      if len(sd1) != len(sd2):
          return False
  
      for k1, v1 in sd1.items():
          # check that all keys are accounted for.
          if k1 not in sd2:
              return False
          # check that value tensors are equal.
          v2 = sd2[k1]
          if not torch.allclose(v1, v2):
              return False
      return True
  
file_path: opacus/opacus/utils/module_utils.py
imports: import io
  import logging
  import sys
  from typing import Dict, Iterable, List, Tuple
  import torch
  import torch.nn
label_desc: Use image node_id 8 for calling a global function with example usage: are_state_dict_equal(sd1, sd2) and returns: True, False, False, False