def METHOD_NAME():
    gt_label = tf.constant(
        [[0.0, 1.0], [0.0, 1.0], [0.0, 1.0], [1.0, 0.0]], dtype=tf.float32
    )
    preds = tf.constant(
        [[0.0, 1.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0]], dtype=tf.float32
    )
    mcc = MatthewsCorrelationCoefficient(2)
    mcc.update_state(gt_label, preds)
    @tf.function
    def reset_state():
        mcc.reset_state()
    reset_state()
    # Check results
    check_results(mcc, [0])