在对打包过的数据解析这一节，我按着老师课程的代码一个一个打，可最终报这个错，不明白怎么处理。

InvalidArgumentError (see above for traceback): DecodeRaw requires input strings to all be the same size, but element 1 has size 1373 != 1310
[[node DecodeRaw (defined at /home/ken/PycharmProjects/data_manager/reader_cifar10.py:25) ]]
[[node DecodeRaw (defined at /home/ken/PycharmProjects/data_manager/reader_cifar10.py:25) ]]

有上网搜索过但没找着解决方案，请老师指导，代码如下：

import tensorflow as tf

filelist = ['data/train.tfrecord']
file_queue = tf.train.string_input_producer(filelist,
                                            num_epochs=None,
                                            shuffle=True)
reader = tf.TFRecordReader()
_, ex = reader.read(file_queue)

feature = {
    'image': tf.FixedLenFeature([], tf.string),
    'label': tf.FixedLenFeature([], tf.int64)
}
batchsize = 2
batch = tf.train.shuffle_batch([ex],
                       batchsize,
                       capacity = batchsize*10,
                       min_after_dequeue = batchsize*5)

example = tf.parse_example(batch, features=feature)

image = example['image']
label = example['label']

image = tf.decode_raw(image, tf.uint8)

image = tf.reshape(image, [-1, 32, 32, 3])

with tf.Session() as sess:
    sess.run(tf.local_variables_initializer())
    tf.train.start_queue_runners(sess=sess)

    for i in range(1):
        image_bth, _ = sess.run([image, label])
        import cv2
        cv2.imshow("image", image_bth[0, ...])
        cv2.waitKey(0)