tensorflow rnn 最简单实现代码

#!/usr/bin/env python
# -*- coding: utf-8 -*-


import tensorflow as tf
from tensorflow.contrib import rnn

import numpy as np

x=tf.placeholder(dtype=tf.float64,shape=[10,10,10],name="x")

train_x = np.ones(shape=[10, 10, 10], dtype=float)


cell=tf.nn.rnn_cell.BasicLSTMCell(10)


unstack_x = tf.unstack(x, 10, 1)

lstm_cell = rnn.BasicLSTMCell(10, forget_bias=1.0)

outputs, states = rnn.static_rnn(lstm_cell, unstack_x, dtype=tf.float64)

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    outputs_array=(sess.run(outputs,feed_dict={x:train_x}))

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