重新利用我发现的代码 online,我正在构建一个带有 tensorflow 2.5.0 的神经网络。
当尝试加载保存的模型时
tf.train.Saver
函数,我收到以下错误:
; Input/output error
Traceback (most recent call last):
File "C:\Users\adame\Documents\DeepTPmaster\src\Run_RNN_model_Lite.py", line 826, in <module>
main()
File "C:\Users\adame\Python\lib\site-packages\click\core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "C:\Users\adame\Python\lib\site-packages\click\core.py", line 782, in main
rv = self.invoke(ctx)
File "C:\Users\adame\Python\lib\site-packages\click\core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "C:\Users\adame\Python\lib\site-packages\click\core.py", line 610, in invoke
return callback(*args, **kwargs)
File "C:\Users\adame\Documents\DeepTPmaster\src\Run_RNN_model_Lite.py", line 824, in main
tf_train.run_model(train_from_model = False,
File "C:\Users\adame\Documents\DeepTPmaster\src\Run_RNN_model_Lite.py", line 177, in run_model
self.saver.restore(self.sess, self.restored_model_path)
File "C:\Users\adame\Python\lib\site-packages\tensorflow\python\training\saver.py", line 1303, in restore
sess.run(self.saver_def.restore_op_name,
File "C:\Users\adame\Python\lib\site-packages\tensorflow\python\client\session.py", line 967, in run
result = self._run(None, fetches, feed_dict, options_ptr,
File "C:\Users\adame\Python\lib\site-packages\tensorflow\python\client\session.py", line 1190, in _run
results = self._do_run(handle, final_targets, final_fetches,
File "C:\Users\adame\Python\lib\site-packages\tensorflow\python\client\session.py", line 1368, in _do_run
return self._do_call(_run_fn, feeds, fetches, targets, options,
File "C:\Users\adame\Python\lib\site-packages\tensorflow\python\client\session.py", line 1375, in _do_call
return fn(*args)
File "C:\Users\adame\Python\lib\site-packages\tensorflow\python\client\session.py", line 1359, in _run_fn
return self._call_tf_sessionrun(options, feed_dict, fetch_list,
File "C:\Users\adame\Python\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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