code: def get_wider_entropy(self):
      wider_entropy = -tf.multiply(
          tf.log(self.wider_actor.probs), self.wider_actor.probs
      )
      wider_entropy = tf.reduce_sum(wider_entropy, axis=2)
      wider_entropy = tf.multiply(
          wider_entropy, self.wider_decision_mask
      )
      wider_entropy = tf.div(
          tf.reduce_sum(wider_entropy, axis=1),
          tf.reduce_sum(self.wider_decision_mask, axis=1),
      )
      wider_entropy = tf.reduce_mean(wider_entropy)
      return wider_entropy
  
imports: from ..meta_controller.base_controller import WiderActorNet, DeeperActorNet, EncoderNet, BaseController
  import tensorflow
  import os
  from tensorflow.python.ops import array_ops
  from ..models.basic_model import BasicModel
  import shutil
  import numpy
label_desc: Use image node_id 11 for calling the RLNet2NetController obj's underlying member method code with example usage: obj.get_wider_entropy() and returns: wider_entropy