TFRecordで読み込み End of sequenceのエラーの意味が知りたいです

前提・実現したいこと

TFRecordでjpegを書き込んでから　読み込ませて表示したいのですがエラーが出て調べても解決策が見つからなかったので質問させていただきます
参考書にあるコードです
読み込みでエラーが出ていて原因がわかりません

発生している問題・エラーメッセージ

エラーメッセージ
OutOfRangeError                           Traceback (most recent call last)
~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
   1349     try:
-> 1350       return fn(*args)
   1351     except errors.OpError as e:

~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
   1328                                    feed_dict, fetch_list, target_list,
-> 1329                                    status, run_metadata)
   1330 

~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\errors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
    472             compat.as_text(c_api.TF_Message(self.status.status)),
--> 473             c_api.TF_GetCode(self.status.status))
    474     # Delete the underlying status object from memory otherwise it stays alive

OutOfRangeError: End of sequence
	 [[Node: IteratorGetNext_4 = IteratorGetNext[output_shapes=[[?,?,?]], output_types=[DT_UINT8], _device="/job:localhost/replica:0/task:0/device:CPU:0"](OneShotIterator_4)]]

During handling of the above exception, another exception occurred:

OutOfRangeError                           Traceback (most recent call last)
<ipython-input-11-fa952844f0a8> in <module>()
      2 with tf.Session() as sess:
      3     #データセットから画像を1件取得
----> 4     jpeg_img = sess.run(next_element)
      5     #scikit-imageで表示
      6     io.imshow(jpeg_img)

~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
    893     try:
    894       result = self._run(None, fetches, feed_dict, options_ptr,
--> 895                          run_metadata_ptr)
    896       if run_metadata:
    897         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
   1126     if final_fetches or final_targets or (handle and feed_dict_tensor):
   1127       results = self._do_run(handle, final_targets, final_fetches,
-> 1128                              feed_dict_tensor, options, run_metadata)
   1129     else:
   1130       results = []

~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
   1342     if handle is None:
   1343       return self._do_call(_run_fn, self._session, feeds, fetches, targets,
-> 1344                            options, run_metadata)
   1345     else:
   1346       return self._do_call(_prun_fn, self._session, handle, feeds, fetches)

~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
   1361         except KeyError:
   1362           pass
-> 1363       raise type(e)(node_def, op, message)
   1364 
   1365   def _extend_graph(self):

OutOfRangeError: End of sequence
	 [[Node: IteratorGetNext_4 = IteratorGetNext[output_shapes=[[?,?,?]], output_types=[DT_UINT8], _device="/job:localhost/replica:0/task:0/device:CPU:0"](OneShotIterator_4)]]

該当のソースコード

#書き込み
import glob
import tensorflow as tf
import os
img_list=[i for i in glob.glob('img/*.jpg')]

with tf.python_io.TFRecordWriter('test.tfrecord')as w:
    for img in img_list:
        
        with tf.gfile.FastGFile(img,'rb')as f:
            data=f.read()
            
            freatures=tf.train.Features(feature={
                "data":tf.train.Feature(byte_list=tf.train.BytesList(value=[data]))
            })
            example=tf.train.Example(features=features)
            w.write(example.SerializeToString())
            
#読み込み
import tensorflow as tf
from skimage import io

def parse(example):

    #TFRecordをパース
    features = tf.parse_single_example(
        example,
        features={
            'data': tf.FixedLenFeature([], dtype=tf.string)
        })
    #バイト列のままになっているので元の画像の形式に変換
    img = features['data']
    img = tf.image.decode_jpeg(img)
    return img


#TFRecordファイルを読み込みパース用の関数を適用
dataset = tf.data.TFRecordDataset(['test.tfrecord']).map(parse)

#データセットを1周するイテレータ
iterator = dataset.make_one_shot_iterator()
#イテレータから要素を取得
next_element = iterator.get_next()

with tf.Session() as sess:
    #データセットから画像を1件取得
    jpeg_img = sess.run(next_element)
    #scikit-imageで表示
    io.imshow(jpeg_img)
    io.show()