code: def testRegisteredFunction(self):
      path = os.path.join(self.get_temp_dir(), "saved_policy")
      saver = policy_saver.PolicySaver(self.tf_policy)
      saver.register_function(
          "actor_net", self._actor_net, self.time_step_spec.observation
      )
      saver.save(path)
  
      eager_py_policy = py_tf_eager_policy.SavedModelPyTFEagerPolicy(
          path, self.time_step_spec, self.action_spec
      )
      sample_observation = tensor_spec.sample_spec_nest(
          tensor_spec.from_spec(self.time_step_spec.observation),
          outer_dims=(3,),
      )
      eager_py_policy.actor_net(sample_observation)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.agents.ddpg import actor_network
  from tf_agents.environments import batched_py_environment
  from tf_agents.environments import random_py_environment
  from tf_agents.policies import actor_policy
  from tf_agents.policies import policy_saver
  from tf_agents.policies import py_tf_eager_policy
  from tf_agents.policies import random_tf_policy
  from tf_agents.specs import array_spec
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
  from tf_agents.utils import nest_utils
  from tf_agents.utils import test_utils
label_desc: Use image node_id 7 for calling the SavedModelPYTFEagerPolicyTest obj's underlying member method code with example usage: obj.testRegisteredFunction() without return types