code: def test_exponential_moving_average_hook(self):
      device = "gpu" if torch.cuda.is_available() else "cpu"
      self._test_exponential_moving_average_hook(device, device)
  
imports: import copy
  import math
  import unittest
  import unittest.mock
  import torch
  import torch.nn
  from classy_vision.hooks import ExponentialMovingAverageModelHook
  from classy_vision.models import ClassyModel
  from test.generic.hook_test_utils import HookTestBase
label_desc: Use image node_id 5 for calling the TestExponentialMovingAverageModelHook obj's underlying member method code with example usage: obj.test_exponential_moving_average_hook() without return types