import tensorflow as tf


        b_soft_no_learn = np.array(
          [0.25, 0.25] + [-0.25] * (self.num_branches - 2), dtype=np.float32)
        b_soft_no_learn = np.reshape(b_soft_no_learn, [1, self.num_branches])
        self.b_soft_no_learn = tf.constant(b_soft_no_learn, dtype=tf.float32)

      with tf.variable_scope("attention"):
        self.w_attn_1 = tf.get_variable("w_1", [self.lstm_size, self.lstm_size])
