code: def test_outputs(self):
      modules = [
          (SimpleMLP(input_size=32 * 32 * 3), "classifier"),
          (SimpleCNN(), "classifier"),
      ]
      for m in modules:
          self._test_outputs(*m)
  
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 3 for calling the ConversionMethodTests obj's underlying member method code with example usage: obj.test_outputs() without return types