使用string_input_producer从TFRecord文件读取数据时出错

import tensorflow as tf

# 1. 定义文件名队列
file_list = ['data.tfrecords']
filename_queue = tf.train.string_input_producer(file_list, num_epochs=1)

# 2. 创建TFRecordReader
reader = tf.TFRecordReader()
_, serialized_example = reader.read(filename_queue)

# 3. 解析数据
features = tf.parse_single_example(serialized_example, features={
    'image': tf.FixedLenFeature([], tf.string),
    'label': tf.FixedLenFeature([], tf.int64)
})
image = tf.decode_raw(features['image'], tf.uint8)
image = tf.reshape(image, [28, 28])  # 假设为MNIST数据

# 4. 启动队列
with tf.Session() as sess:
    sess.run(tf.local_variables_initializer())  # 初始化epoch计数器
    coord = tf.train.Coordinator()
    threads = tf.train.start_queue_runners(sess=sess, coord=coord)
    
    try:
        for _ in range(10):  # 读取10个样本
            img, lbl = sess.run([image, features['label']])
            print(lbl)
    except tf.errors.OutOfRangeError:
        print("End of queue")
    finally:
        coord.request_stop()
        coord.join(threads)