import tensorflow as tf

        net = _blur_expand(net)
        FLAGS.blur = 0.
    return net

  def _init_optimizer(self):
    self.loss_total = tf.add_n(self.losses, 'loss_total')
    self.optimizer = self.optimizer_constructor(learning_rate=FLAGS.learning_rate)
    self._train = self.optimizer.minimize(self.loss_total, global_step=self.step)


