import tensorflow as tf

        batch_size = 8

        hparams = {
            "pretrained_model_name": None,
            "regr_strategy": "cls_time"
        }
        inputs = tf.placeholder(tf.int32, shape=[batch_size, 6])
        regressor = XLNetRegressor(hparams=hparams)
        logits = regressor(inputs)

        with self.test_session() as sess:
            sess.run(tf.global_variables_initializer())
