请问怎么导入时间序列相关的数据呢，目前这样试不行

seq_size表示这个序列的长度，相当于句子的单词的个数，input_dim表示的是一个元素的纬度，相当于表示一个word的纬度

x_ = fluid.layers.data(name='x_', shape=[-1,seq_size,input_dim], dtype='float32', lod_level = 1)
y_ = fluid.layers.data(name='y_', shape=[-1,seq_size], dtype='float32', lod_level = 1)

def seq_reader_creator(seq_path):
    def reader():
        with open(seq_path, 'rb') as f:
            data = pickle.load(f)
            normalized_data = (data - np.mean(data)) / np.std(data)
        for i in xrange(len(normalized_data) - seq_size - 1):
            yield np.expand_dims(normalized_data[i : i + seq_size], axis=1).tolist(), normalized_data[i + 1 : i + seq_size + 1].tolist()  # a single entry of data is created each time
    return reader

train_reader_raw = seq_reader_creator("../bandwidth_dataset/data_interval_300.pickle")


train_reader = paddle.batch(
train_reader_raw,
batch_size=batch_size)
feeder = fluid.DataFeeder(place=place, feed_list=[x_, y_])

loss = exe.run(
            fluid.default_main_program(),
            feed=feeder.feed(data),
            fetch_list=[avg_cost])