tf_checkpoint_5.py

import tensorflow as tf

v1 = tf.Variable(80., name="v1")
v2 = tf.Variable(10., name="v2")
a = tf.add(v1, v2)

saver0 = tf.train.Saver(var_list=[v1, v2])
saver1 = tf.train.Saver(var_list={'myVar1': v1, 'myVar2': v2})
saver2 = tf.train.Saver(var_list={'myVar1': v1})
saver3 = tf.train.Saver(var_list=tf.trainable_variables())
saver = tf.train.Saver()

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    saver.save(sess, './saver_test/myVar')
    saver.restore(sess, './saver_test/myVar')
    print(sess.run(v1))