code: def testMatchedDtypesListAction(self):
      policy = TFPolicyMismatchedDtypesListAction()
  
      # Overwrite the action_spec to match the dtype of _action.
      policy._action_spec = [
          tensor_spec.BoundedTensorSpec([1], tf.int64, 0, 1),
          tensor_spec.BoundedTensorSpec([1], tf.int64, 0, 1),
      ]
  
      observation = tf.constant([[1, 2], [3, 4]], dtype=tf.float32)
      time_step = ts.restart(observation)
      policy.action(time_step)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import cast
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 8 for calling the TfPolicyTest obj's underlying member method code with example usage: obj.testMatchedDtypesListAction() without return types