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jvmncs/syft-tf-backing-4.py

Created October 24, 2019 13:17
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syft-tf-backing-4.py
mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
# Converting the data from numpy to tf.Tensor in order to have PySyft functionalities.
x_train, y_train = tf.convert_to_tensor(x_train), tf.convert_to_tensor(y_train)
x_test, y_test = tf.convert_to_tensor(x_test), tf.convert_to_tensor(y_test)
# Send data to Alice (for demonstration purposes)
x_train_ptr = x_train.send(alice)
y_train_ptr = y_train.send(alice)
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