def METHOD_NAME(self):
    model = linear.LinearModel()
    input_a = np.random.uniform(low=-5.0, high=5.0, size=(64, 1))
    input_b = np.random.uniform(low=-5.0, high=5.0, size=(64, 1))
    output = 0.3 * input_a + 0.2 * input_b
    model.compile("sgd", "mse", [])
    model.fit([input_a, input_b], output, epochs=5)