import tensorflow as tf
import numpy as np

# Save to file
# remember to define the same dtype and shape when restore
W = tf.Variable([[1,2,3],[3,4,5]], dtype=tf.float32, name='weights')
b = tf.Variable([[1,2,3]], dtype=tf.float32, name='biases')
 
init= tf.initialize_all_variables()

saver = tf.train.Saver()

with tf.Session() as sess:
  sess.run(init)
  save_path = saver.save(sess, "my_net/save_net.ckpt")
  print("Save to path: ", save_path)

# restore variables
# redefine the same shape and same type for your variables
W = tf.Variable(np.arange(6).reshape((2, 3)), dtype=tf.float32, name="weights")
b = tf.Variable(np.arange(3).reshape((1, 3)), dtype=tf.float32, name="biases")

saver = tf.train.Saver()
with tf.Session() as sess:
  saver.restore(sess, "my_net/save_net.ckpt")
  print("weights:", sess.run(W))
  print("biases:", sess.run(b))