import tensorflow as tf

                          bias=True, activation=tf.nn.relu, kernel_size=5, name="char_conv", reuse=True)

            ch_emb = tf.reduce_max(ch_emb, axis=1)
            qh_emb = tf.reduce_max(qh_emb, axis=1)

            ch_emb = tf.reshape(ch_emb, [N * self.max_p_num, PL, -1])
