Tensorflow: how to save/restore a model?

Question

After you train a model in Tensorflow:

1. How do you save the trained model?
2. How do you later restore this saved model?

Answer 1

You can save the variables in the network using

saver = tf.train.Saver() 
saver.save(sess, 'path of save/fileName.ckpt')

To restore the network for reuse later or in another script, use:

saver = tf.train.Saver()
saver.restore(sess, tf.train.latest_checkpoint('path of save/')
sess.run(....) 

Important points:

1. sess must be same between first and later runs (coherent structure).
2. saver.restore needs the path of the folder of the saved files, not an individual file path.