code: def test_averaged_model_exponential(self) -> None:
      combos = itertools.product([True, False], [True, False])
      for use_buffers, skip_deepcopy in combos:
          self._test_averaged_model_exponential(
              use_buffers, skip_deepcopy
          )
  
file_path: tnt/tests/utils/test_swa.py
imports: import itertools
  import unittest
  from copy import deepcopy
  from typing import List, Tuple
  import torch
  from torchtnt.utils.swa import AveragedModel
label_desc: Use image node_id 5 for calling the TestSWA obj's underlying member method code with example usage: obj.test_averaged_model_exponential() without return types