Model question

[momo90yang]

Hello, it is very beneficial to read your article. How should I change it if I want to use RNN encoder instead of BiRNN encoder? Thank you!

    with tf.name_scope("encoder"):
        fw_cells = [self.cell(self.num_hidden) for _ in range(self.num_layers)]
        bw_cells = [self.cell(self.num_hidden) for _ in range(self.num_layers)]
        fw_cells = [rnn.DropoutWrapper(cell) for cell in fw_cells]
        bw_cells = [rnn.DropoutWrapper(cell) for cell in bw_cells]

        encoder_outputs, encoder_state_fw, encoder_state_bw = tf.contrib.rnn.stack_bidirectional_dynamic_rnn(
            fw_cells, bw_cells, self.encoder_emb_inp,
            sequence_length=self.X_len, time_major=True, dtype=tf.float32)
        self.encoder_output = tf.concat(encoder_outputs, 2)
        encoder_state_c = tf.concat((encoder_state_fw[0].c, encoder_state_bw[0].c), 1)
        encoder_state_h = tf.concat((encoder_state_fw[0].h, encoder_state_bw[0].h), 1)
        self.encoder_state = rnn.LSTMStateTuple(c=encoder_state_c, h=encoder_state_h)