def METHOD_NAME(self, is_infer=False):
    dense_input = paddle.static.data(
        name="dense_input",
        shape=[None, self.dense_input_dim],
        dtype="float32")
    sparse_input_ids = [
        paddle.static.data(
            name="C" + str(i), shape=[None, 1], lod_level=1, dtype="int64")
        for i in range(1, self.sparse_inputs_slots)
    ]
    label = paddle.static.data(
        name="label", shape=[None, 1], dtype="int64")
    feeds_list = [label] + sparse_input_ids + [dense_input]
    return feeds_list