code: def testDeterministicDistribution(self):
      actor_network = DummyActionNet(self._obs_spec, self._action_spec)
      policy = actor_policy.ActorPolicy(
          self._time_step_spec,
          self._action_spec,
          actor_network=actor_network,
      )
  
      action_step = policy.action(self._time_step_batch)
      distribution_step = policy.distribution(self._time_step_batch)
      self.assertIsInstance(
          distribution_step.action, tfp.distributions.Deterministic
      )
      distribution_mean = distribution_step.action.mean()
      self.evaluate(tf.compat.v1.global_variables_initializer())
      actions_ = self.evaluate(action_step.action)
      distribution_mean_ = self.evaluate(distribution_mean)
      self.assertNear(actions_[0], distribution_mean_[0], 1e-6)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.networks import actor_distribution_network
  from tf_agents.networks import network
  from tf_agents.policies import actor_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 7 for calling the ActorPolicyTest obj's underlying member method code with example usage: obj.testDeterministicDistribution() without return types