code: def testActionAddsGaussianNoise(self):
      policy = gaussian_policy.GaussianPolicy(
          self._wrapped_policy, clip=False
      )
      action_step = policy.action(self._time_step_batch)
      wrapped_action_step = self._wrapped_policy.action(
          self._time_step_batch
      )
  
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.evaluate(tf.compat.v1.local_variables_initializer())
      actions_ = self.evaluate(action_step.action)
      wrapped_policy_actions_ = self.evaluate(
          wrapped_action_step.action
      )
  
      self.assertTrue(
          np.linalg.norm(actions_ - wrapped_policy_actions_) > 0
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.networks import network
  from tf_agents.policies import actor_policy
  from tf_agents.policies import gaussian_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 6 for calling the GaussianPolicyTest obj's underlying member method code with example usage: obj.testActionAddsGaussianNoise() without return types