code: def get_perturbed_actor_updates(
      actor, perturbed_actor, param_noise_stddev, verbose=0
  ):
      """
      Get the actor update, with noise.
  
      :param actor: (str) the actor
      :param perturbed_actor: (str) the pertubed actor
      :param param_noise_stddev: (float) the std of the parameter noise
      :param verbose: (int) the verbosity level: 0 none, 1 training information, 2 tensorflow debug
      :return: (TensorFlow Operation) the update function
      """
      assert len(tf_util.get_globals_vars(actor)) == len(
          tf_util.get_globals_vars(perturbed_actor)
      )
      assert len(get_perturbable_vars(actor)) == len(
          get_perturbable_vars(perturbed_actor)
      )
  
      updates = []
      for var, perturbed_var in zip(
          tf_util.get_globals_vars(actor),
          tf_util.get_globals_vars(perturbed_actor),
      ):
          if var in get_perturbable_vars(actor):
              if verbose >= 2:
                  logger.info(
                      "  {} <- {} + noise".format(
                          perturbed_var.name, var.name
                      )
                  )
              # Add Gaussian noise to the parameter
              updates.append(
                  tf.assign(
                      perturbed_var,
                      var
                      + tf.random_normal(
                          tf.shape(var),
                          mean=0.0,
                          stddev=param_noise_stddev,
                      ),
                  )
              )
          else:
              if verbose >= 2:
                  logger.info(
                      "  {} <- {}".format(perturbed_var.name, var.name)
                  )
              updates.append(tf.assign(perturbed_var, var))
      assert len(updates) == len(tf_util.get_globals_vars(actor))
      return tf.group(*updates)
  
imports: from functools import reduce
  import os
  import time
  from collections import deque
  import pickle
  import warnings
  import gym
  import numpy
  import tensorflow
  import tensorflow.contrib
  from mpi4py import MPI
  from stable_baselines import logger
  from stable_baselines.common import tf_util, OffPolicyRLModel, SetVerbosity, TensorboardWriter
  from stable_baselines.common.vec_env import VecEnv
  from stable_baselines.common.mpi_adam import MpiAdam
  from stable_baselines.common.buffers import ReplayBuffer
  from stable_baselines.common.math_util import unscale_action, scale_action
  from stable_baselines.common.mpi_running_mean_std import RunningMeanStd
  from stable_baselines.ddpg.policies import DDPGPolicy
label_desc: Use image node_id 7 for calling a global function with example usage: get_perturbed_actor_updates(actor, perturbed_actor, param_noise_stddev, verbose) and returns: tf