code: def gaussian_entropy(log_std):
      """
      Compute the entropy for a diagonal Gaussian distribution.
  
      :param log_std: (tf.Tensor) Log of the standard deviation
      :return: (tf.Tensor)
      """
      return tf.reduce_sum(
          log_std + 0.5 * np.log(2.0 * np.pi * np.e), axis=-1
      )
  
imports: import tensorflow
  import numpy
  from gym.spaces import Box
  from stable_baselines.common.policies import BasePolicy, nature_cnn, register_policy
  from stable_baselines.common.tf_layers import mlp
label_desc: Use image node_id 2 for calling a global function with example usage: gaussian_entropy(log_std) and returns: tf