code: def testRNNDQNMaskedCartPole(self):
      if not tf.executing_eagerly():
          self.skipTest("Binary is eager-only.")
  
      root_dir = self.get_temp_dir()
      train_loss = train_eval.train_eval(
          root_dir,
          env_name="MaskedCartPole-v0",
          train_sequence_length=2,
          initial_collect_steps=10,
          num_eval_episodes=1,
          num_iterations=1,
      )
      self.assertGreater(train_loss.loss, 0.0)
  
file_path: agents/tf_agents/agents/dqn/examples/v2/train_eval_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl import flags
  import tensorflow
  from tf_agents.agents.dqn.examples.v2 import train_eval
label_desc: Use image node_id 2 for calling the TrainEval obj's underlying member method code with example usage: obj.testRNNDQNMaskedCartPole() without return types