code: def testRenderBatched(self):
      py_env = self._get_py_env(True, False, batch_size=3)
      tf_env = tf_py_environment.TFPyEnvironment(py_env)
  
      img = self.evaluate(tf_env.render("rgb_array"))
      self.assertEqual(img.shape, (3, 4, 4, 3))
      self.assertEqual(img.dtype, np.uint8)
      img = self.evaluate(tf_env.render("human"))
      self.assertEqual(img.shape, (3, 4, 4, 3))
      self.assertEqual(img.dtype, np.uint8)
      img = self.evaluate(tf_env.render())  # defaults to rgb_array
      self.assertEqual(img.shape, (3, 4, 4, 3))
      self.assertEqual(img.dtype, np.uint8)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import threading
  from typing import Text
  from absl.testing import parameterized
  from absl.testing.absltest import mock
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.environments import batched_py_environment
  from tf_agents.environments import py_environment
  from tf_agents.environments import suite_gym
  from tf_agents.environments import tf_py_environment
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
label_desc: Use image node_id 16 for calling the TFPYEnvironmentTest obj's underlying member method code with example usage: obj.testRenderBatched() without return types