使用tensorflow时，遇到问题
2021-06-23 21:19:41.397079: W tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at save_restore_v2_ops.cc:109 : Not found: Failed to c
reate a NewWriteableFile: C:/Users/12162/Desktop/model\online_train\read_comment\model.ckpt-0_temp\part-00000-of-00001.data-00000-of-00001.tempstate
1255047267071366445 : 系统找不到指定的路径。
; No such process
Traceback (most recent call last):
File "D:/wechat/data/wechart_tensorflow.py", line 276, in <module>
tf.app.run(main)
File "D:\vippython\venv\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "D:\vippython\venv\lib\site-packages\absl\app.py", line 303, in run
_run_main(main, args)
File "D:\vippython\venv\lib\site-packages\absl\app.py", line 251, in _run_main
sys.exit(main(argv))
File "D:/wechat/data/wechart_tensorflow.py", line 228, in main
model.train()
File "D:/wechat/data/wechart_tensorflow.py", line 111, in train
self.estimator.train(
File "D:\vippython\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 349, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "D:\vippython\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1175, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "D:\vippython\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1206, in _train_model_default
return self._train_with_estimator_spec(estimator_spec, worker_hooks,
File "D:\vippython\venv\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1497, in _train_with_estimator_spec
with training.MonitoredTrainingSession(
File "D:\vippython\venv\lib\site-packages\tensorflow\python\training\monitored_session.py", line 602, in MonitoredTrainingSession
return MonitoredSession(
File "D:\vippython\venv\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1035, in __init__
super(MonitoredSession, self).__init__(
File "D:\vippython\venv\lib\site-packages\tensorflow\python\training\monitored_session.py", line 750, in __init__
self._sess = _RecoverableSession(self._coordinated_creator)
File "D:\vippython\venv\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1232, in __init__
_WrappedSession.__init__(self, self._create_session())
File "D:\vippython\venv\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1237, in _create_session
return self._sess_creator.create_session()
File "D:\vippython\venv\lib\site-packages\tensorflow\python\training\monitored_session.py", line 910, in create_session
hook.after_create_session(self.tf_sess, self.coord)
File "D:\vippython\venv\lib\site-packages\tensorflow\python\training\basic_session_run_hooks.py", line 587, in after_create_session
self._save(session, global_step)
File "D:\vippython\venv\lib\site-packages\tensorflow\python\training\basic_session_run_hooks.py", line 619, in _save
self._get_saver().save(session, self._save_path, global_step=step,
File "D:\vippython\venv\lib\site-packages\tensorflow\python\training\saver.py", line 1188, in save
model_checkpoint_path = sess.run(
File "D:\vippython\venv\lib\site-packages\tensorflow\python\client\session.py", line 967, in run
result = self._run(None, fetches, feed_dict, options_ptr,
File "D:\vippython\venv\lib\site-packages\tensorflow\python\client\session.py", line 1190, in _run
results = self._do_run(handle, final_targets, final_fetches,
File "D:\vippython\venv\lib\site-packages\tensorflow\python\client\session.py", line 1368, in _do_run
return self._do_call(_run_fn, feeds, fetches, targets, options,
File "D:\vippython\venv\lib\site-packages\tensorflow\python\client\session.py", line 1375, in _do_call
return fn(*args)
File "D:\vippython\venv\lib\site-packages\tensorflow\python\client\session.py", line 1359, in _run_fn
return self._call_tf_sessionrun(options, feed_dict, fetch_list,
File "D:\vippython\venv\lib\site-packages\tensorflow\python\client\session.py", line 1451, in _call_tf_sessionrun
return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
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