code: def test_train_and_eval_mode_with_bn(self):
      agent = TestAgent(self.bn_alg)
      obs = torch.randn(10, 4)
      agent.train()
      self.assertTrue(agent.training)
      act_train = agent.predict(obs)
      q_train = agent.alg.model.Q(obs).detach().numpy()
      agent.eval()
      self.assertFalse(agent.training)
      act_eval = agent.predict(obs)
      q_eval = agent.alg.model.Q(obs).detach().numpy()
      self.assertTrue((act_train == act_eval).all())
      self.assertFalse((q_train == q_eval).all())
  
imports: import numpy
  import unittest
  import os
  import torch
  import torch.nn
  import torch.optim
  import parl
label_desc: Use image node_id 8 for calling the ACAgentBaseTest obj's underlying member method code with example usage: obj.test_train_and_eval_mode_with_bn() without return types