code: def test_train_and_eval_mode_with_dropout(self):
      agent = TestAgent(self.alg1)
      obs = torch.randn(3, 10)
      agent.train()
      self.assertTrue(agent.training)
      train_mode_output = agent.predict(obs)
      agent.eval()
      self.assertFalse(agent.training)
      eval_mode_output = agent.predict(obs)
      self.assertNotEqual(
          train_mode_output.sum(), eval_mode_output.sum()
      )
  
imports: import numpy
  import unittest
  import os
  import torch
  import torch.nn
  import torch.optim
  import parl
label_desc: Use image node_id 7 for calling the AgentBaseTest obj's underlying member method code with example usage: obj.test_train_and_eval_mode_with_dropout() without return types