code: def get_model(self, fast_test=False):
      if fast_test:
          model = SimpleMLP(input_size=6, hidden_size=10)
          # model.classifier = IncrementalClassifier(
          #     model.classifier.in_features)
          return model
      else:
          model = SimpleMLP()
          # model.classifier = IncrementalClassifier(
          #     model.classifier.in_features)
          return model
  
file_path: avalanche/tests/training/test_online_strategies.py
imports: import os
  import sys
  import unittest
  from torch.nn import CrossEntropyLoss
  from torch.optim import SGD
  from avalanche.logging import TextLogger
  from avalanche.models import SimpleMLP
  from avalanche.benchmarks.scenarios.online import OnlineCLScenario
  from avalanche.training import OnlineNaive
  from tests.unit_tests_utils import get_fast_benchmark
  from avalanche.training.plugins.evaluation import default_evaluator
label_desc: Use image node_id 4 for calling the StrategyTest obj's underlying member method code with example usage: obj.get_model(fast_test) and returns: model, model