test_pickle_keras_sequential_model.py

import pickle

import tensorflow as tf


def main():
    model_1 = tf.keras.Sequential((
        tf.keras.layers.Dense(16, activation='relu'),
        tf.keras.layers.Dense(1, activation='linear'),
    ))

    _ = model_1(tf.random.uniform((15, 3)))

    model_2 = pickle.loads(pickle.dumps(model_1))

    for w1, w2 in zip(model_1.get_weights(), model_2.get_weights()):
        tf.debugging.assert_equal(w1, w2)


if __name__ == '__main__':
    main()