code: def test_integration(self):
      modules = [(SimpleMLP(input_size=6), "classifier")]
      for m, name in modules:
          self._test_integration(copy.deepcopy(m), name)
          self._test_integration(
              copy.deepcopy(m), name, plugins=[LwFPlugin()]
          )
          self._test_integration(
              copy.deepcopy(m), name, plugins=[EWCPlugin(0.5)]
          )
  
file_path: avalanche/tests/models/test_helper_method.py
imports: import copy
  import unittest
  import torch
  from torch.optim import SGD
  from avalanche.models import SimpleCNN, SimpleMLP, as_multitask
  from avalanche.models.dynamic_modules import MultiTaskModule, MultiHeadClassifier
  from avalanche.training.plugins import LwFPlugin, EWCPlugin
  from avalanche.training.supervised import Naive
  from tests.unit_tests_utils import common_setups, get_fast_benchmark, get_device
label_desc: Use image node_id 4 for calling the ConversionMethodTests obj's underlying member method code with example usage: obj.test_integration() without return types