Session is an extension of tf.Session that lets the graph run in a secure manner.
The aim of tf-encrypted is to look as close to TensorFlow as possible. With this goal in mind, you get and use a session the same way that you’re used to with Tensorflow:
import tf_encrypted as tfe with tfe.Session() as sess: # sess.run like normal
See also the official TensorFlow docs on Session.