code: def _init_norm(self, weights):
      
      with tf.variable_scope("init_norm"):
        flat = tf.reshape(weights, [-1, self.layer_depth])
        return tf.reshape(tf.norm(flat, axis=0), (self.layer_depth,))
docs: Set the norm of the weight vector.