def METHOD_NAME(self):
    for _ in range(10000):
        with tf.device("cpu:0"):
            box_center = tf.random.uniform(
                shape=[1, 3], minval=-10.0, maxval=10.0
            )
            box_dim = tf.random.uniform(
                shape=[1, 3], minval=0.1, maxval=10.0
            )
            boxes = tf.concat([box_center, box_dim, [[0.0]]], axis=-1)
            points = tf.random.normal([32, 3])
            res = keras_cv.point_cloud.is_within_any_box3d(points, boxes)
            res_v2 = keras_cv.point_cloud.is_within_any_box3d_v2(
                points, boxes
            )
            res_v3 = keras_cv.point_cloud.is_within_any_box3d_v3(
                points, boxes
            )
            self.assertAllEqual(res, res_v2)
            self.assertAllEqual(res, res_v3)