The Key Error : logtostderr (python, tensorflow) - tensorflow

Question

I am trying to implement a InceptionV3 to classify the images.
(python 3.65 / tensorflow 1.14.0)
when I run the code, I am getting these key error : "logtostderr".
I don't know why this Key error happens.
How can I solve this problem?
Last week, I ran this code smoothly.
but, the problem was happened yesterday suddenly.
with tf.train.MonitoredSession(session_creator=session_creator) as sess:
for filenames, images in load_images(FLAGS.input_dir, batch_shape):
labels = sess.run(predicted_labels, feed_dict={x_input: images})
for filename, label in zip(filenames, labels):
true_label = image_labels.merge(pd.DataFrame({"ImageId":[filename[:-4]]}), on="ImageId")["TrueLabel"][0]
predictions.append([filename[:-4], true_label, label])
KeyError Traceback (most recent call last)
<ipython-input-19-307b2daa19e5> in <module>
88
89
---> 90 with tf.train.MonitoredSession(session_creator=session_creator) as sess:
91 for filenames, images in load_images(FLAGS.input_dir, batch_shape):
92 labels = sess.run(predicted_labels, feed_dict={x_input: images})
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\monitored_session.py in __init__(self, session_creator, hooks, stop_grace_period_secs)
1005 hooks,
1006 should_recover=True,
-> 1007 stop_grace_period_secs=stop_grace_period_secs)
1008
1009
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\monitored_session.py in __init__(self, session_creator, hooks, should_recover, stop_grace_period_secs)
723 stop_grace_period_secs=stop_grace_period_secs)
724 if should_recover:
--> 725 self._sess = _RecoverableSession(self._coordinated_creator)
726 else:
727 self._sess = self._coordinated_creator.create_session()
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\monitored_session.py in __init__(self, sess_creator)
1198 """
1199 self._sess_creator = sess_creator
-> 1200 _WrappedSession.__init__(self, self._create_session())
1201
1202 def _create_session(self):
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\monitored_session.py in _create_session(self)
1203 while True:
1204 try:
-> 1205 return self._sess_creator.create_session()
1206 except _PREEMPTION_ERRORS as e:
1207 logging.info(
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\monitored_session.py in create_session(self)
869 """Creates a coordinated session."""
870 # Keep the tf_sess for unit testing.
--> 871 self.tf_sess = self._session_creator.create_session()
872 # We don't want coordinator to suppress any exception.
873 self.coord = coordinator.Coordinator(clean_stop_exception_types=[])
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\monitored_session.py in create_session(self)
636
637 def create_session(self):
--> 638 self._scaffold.finalize()
639 return self._get_session_manager().prepare_session(
640 self._master,
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\monitored_session.py in finalize(self)
238
239 ops.get_default_graph().finalize()
--> 240 logging.info('Graph was finalized.')
241 return self
242
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\platform\tf_logging.py in info(msg, *args, **kwargs)
154 #tf_export(v1=['logging.info'])
155 def info(msg, *args, **kwargs):
--> 156 get_logger().info(msg, *args, **kwargs)
157
158
C:\ProgramData\Anaconda3\lib\logging\__init__.py in info(self, msg, *args, **kwargs)
1306 """
1307 if self.isEnabledFor(INFO):
-> 1308 self._log(INFO, msg, args, **kwargs)
1309
1310 def warning(self, msg, *args, **kwargs):
C:\ProgramData\Anaconda3\lib\logging\__init__.py in _log(self, level, msg, args, exc_info, extra, stack_info)
1442 record = self.makeRecord(self.name, level, fn, lno, msg, args,
1443 exc_info, func, extra, sinfo)
-> 1444 self.handle(record)
1445
1446 def handle(self, record):
C:\ProgramData\Anaconda3\lib\logging\__init__.py in handle(self, record)
1452 """
1453 if (not self.disabled) and self.filter(record):
-> 1454 self.callHandlers(record)
1455
1456 def addHandler(self, hdlr):
C:\ProgramData\Anaconda3\lib\logging\__init__.py in callHandlers(self, record)
1514 found = found + 1
1515 if record.levelno >= hdlr.level:
-> 1516 hdlr.handle(record)
1517 if not c.propagate:
1518 c = None #break out
C:\ProgramData\Anaconda3\lib\site-packages\absl\logging\__init__.py in handle(self, record)
889 rv = self.filter(record)
890 if rv:
--> 891 return self._current_handler.handle(record)
892 return rv
893
C:\ProgramData\Anaconda3\lib\logging\__init__.py in handle(self, record)
863 self.acquire()
864 try:
--> 865 self.emit(record)
866 finally:
867 self.release()
C:\ProgramData\Anaconda3\lib\site-packages\absl\logging\__init__.py in emit(self, record)
824 _warn_preinit_stderr = False
825 self._log_to_stderr(record)
--> 826 elif FLAGS['logtostderr'].value:
827 self._log_to_stderr(record)
828 else:
C:\ProgramData\Anaconda3\lib\site-packages\absl\flags\_flagvalues.py in __getitem__(self, name)
461 def __getitem__(self, name):
462 """Returns the Flag object for the flag --name."""
--> 463 return self._flags()[name]
464
465 def _hide_flag(self, name):
KeyError: 'logtostderr'