gru_seq2seq.py 文件源码

def encoder(self):
        self.encoder_outputs, self.encoder_state = tf.nn.dynamic_rnn(
                        cell=tf.contrib.rnn.GRUCell(self.encoder_hidden_size), inputs=self.inputs, sequence_length=self.encoder_length, 
                        dtype=tf.float32, scope="rnn", time_major=False) # tf.variable_scope("rnn")
        self.encoder_outputs = tf.contrib.layers.linear(self.encoder_state, self.num_decoder_symbols)
        self.encoder_softmax_outputs = tf.nn.softmax(self.encoder_outputs)
        return #encoder_outputs, encoder_state