Saver SO question

gistfile1.txt

import tensorflow as tf
import numpy as np
## save to a file
## need to use the same shape and dtype when restore
W = tf.Variable([[1,2,3],[3,4,5]], dtype=tf.float32, name='W')
b = tf.Variable([[1,2,3]],dtype=tf.float32, name='b')


# initialization
init = tf.global_variables_initializer()
saver = tf.train.Saver()

with tf.Session() as sess:
    sess.run(init)
    saver.save(sess, '/tmp/save.ckpt')

tf.reset_default_graph()

W = tf.Variable(np.arange(6).reshape((2,3)), dtype=tf.float32, name='W')
b = tf.Variable(np.arange(3).reshape((1,3)), dtype=tf.float32, name='b')


saver = tf.train.Saver()
with tf.Session() as sess:
    saver.restore(sess, '/tmp/save.ckpt')
    print('weights', sess.run(W))
    print('biases', sess.run(b))