import tensorflow as tf

v1 = tf.Variable(tf.random_normal([1], stddev=1, seed=1))

v2 = tf.Variable(tf.random_normal([1], stddev=1, seed=1))

result = v1 + v2

init_op = tf.global_variables_initializer()

saver = tf.train.Saver()

with tf.Session() as sess:

    sess.run(init_op)

    saver.save(sess, "E:\\Saved_model\\model.ckpt")

with tf.Session() as sess:

    saver.restore(sess, "E:\\Saved_model\\model.ckpt")

    print(sess.run(result))

saver = tf.train.import_meta_graph("E\\Saved_model\\model.ckpt.meta")

v3 = tf.Variable(tf.random_normal([1], stddev=1, seed=1))

with tf.Session() as sess:

    saver.restore(sess, "Saved_model/model.ckpt")

    print sess.run(v1)

    print sess.run(v2)

    print sess.run(v3)#直接加载持久化的图。因为之前没有导出v3，所以这里会报错。

v1 = tf.Variable(tf.constant(1.0, shape=[1]), name = "other-v1")

v2 = tf.Variable(tf.constant(2.0, shape=[1]), name = "other-v2")

saver = tf.train.Saver({"v1": v1, "v2": v2})