def METHOD_NAME(self, is_infer=False):
    sparse_input = paddle.static.data(
        name="sparse_tensor", shape=[None, 15], dtype="int64")
    dense_input = paddle.static.data(
        name="dense_tensor", shape=[None, ], dtype="float32")
    sess_input = paddle.static.data(
        name="sess_tensor", shape=[None, 10, 10], dtype="int64")
    sess_length_input = paddle.static.data(
        name="sess_length_tensor", shape=[None, ], dtype="int64")
    label = paddle.static.data(name="label", shape=[None, ], dtype="int64")
    feed_list = [
        sparse_input, dense_input, sess_input, sess_length_input, label
    ]
    #input = paddle.static.data(
    #    name="sparse_tensor", shape=[None, 4], dtype="float32")
    #feed_list = [input]
    return feed_list