c56e3db656f3db9a7316b41221571a82ff398a1a,tf_encrypted/keras/models/sequential_test.py,TestSequential,test_from_config,#TestSequential#,49

Before Change

    with tfe.protocol.SecureNN():
      tfe_model = tfe.keras.models.Sequential([])
      tfe_model = tfe_model.from_config(k_config)
      x = tfe.define_private_variable(input_data)

    with tfe.Session() as sess:
      sess.run(tf.global_variables_initializer())
      tfe_model.set_weights(k_weights)
      y = tfe_model(x)
      actual = sess.run(y.reveal())

      np.testing.assert_allclose(actual, expected, rtol=1e-2, atol=1e-4)

After Change

                                                         input_shape)

    with tfe.protocol.SecureNN():
      x = tfe.define_private_input(
          "inputter",
          lambda: tf.convert_to_tensor(input_data))

      tfe_model = Sequential.from_config(k_config)
      tfe_model.set_weights(k_weights)
      y = tfe_model(x)

    with KE.get_session() as sess:
      actual = sess.run(y.reveal())

Instances