dd2d8563aa6794282130a8d300dd0baf78f78981,examples/securenn/network_b.py,,,#,212

Before Change

    sess.run(tf.global_variables_initializer(), tag="init")

    print("Training")
    sess.run(tfe.global_caches_updater(), tag="training")

    for _ in range(5):
      print("Predicting")

After Change

  // we"ll use the same parameters for each prediction so we cache them to
  // avoid re-training each time
  cache_updater, params = tfe.cache(params)

  // get prediction input from client
  x, y = tfe.define_private_input(

Instances