bidirectional_RNN_1.py 文件源码

def BiRNN(x, weights, biases):
    x = tf.transpose(x, [1, 0, 2])
    x = tf.reshape(x, [-1, n_input])
    x = tf.split(axis=0, num_or_size_splits=n_steps, value=x)
    lstm_fw_cell = rnn.BasicLSTMCell(n_hidden, forget_bias=1.0)
    lstm_bw_cell = rnn.BasicLSTMCell(n_hidden, forget_bias=1.0)
    try:
        outputs, _, _ = rnn.static_bidirectional_rnn(lstm_fw_cell, lstm_bw_cell, x,
                                              dtype=tf.float32)
    except Exception: # Old TensorFlow version only returns outputs not states
        outputs = rnn.static_bidirectional_rnn(lstm_fw_cell, lstm_bw_cell, x,
                                        dtype=tf.float32)
    return tf.matmul(outputs[-1], weights['out']) + biases['out']