我正在使用Google QuickDraw数据集训练模型。我已经按照教程中的指示将数据从ndjson存储到tfrecords。然后，我使用Google link提供的代码使用这些tfrecords训练数据集。但是我收到以下错误：
Traceback (most recent call last):
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1334, in _do_call
return fn(*args)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1319, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1407, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.UnknownError: NewRandomAccessFile failed to Create/Open: A:\Code\Machine Learning\Software Engineering project\Quick Draw\TFRecord Train dataset : Access is denied.
; Input/output error
[[{{node IteratorGetNext}} = IteratorGetNext[output_shapes=[[?,1], [?,?], [?,2], [?,1]], output_types=[DT_INT64, DT_FLOAT, DT_INT64, DT_INT64], _device="/job:localhost/replica:0/task:0/device:CPU:0"](OneShotIterator)]]
[[{{node IteratorGetNext/_317}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_20_IteratorGetNext", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "A:\Code\Machine Learning\Software Engineering project\Quick Draw\Train_Model.py", line 303, in <module>
tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "A:\Code\Machine Learning\Software Engineering project\Quick Draw\Train_Model.py", line 214, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_spec)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 471, in train_and_evaluate
return executor.run()
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 610, in run
return self.run_local()
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 711, in run_local
saving_listeners=saving_listeners)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 354, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1207, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1241, in _train_model_default
saving_listeners)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1471, in _train_with_estimator_spec
_, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\monitored_session.py", line 671, in run
run_metadata=run_metadata)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1156, in run
run_metadata=run_metadata)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1255, in run
raise six.reraise(*original_exc_info)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\six.py", line 693, in reraise
raise value
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1240, in run
return self._sess.run(*args, **kwargs)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1312, in run
run_metadata=run_metadata)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1076, in run
return self._sess.run(*args, **kwargs)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 929, in run
run_metadata_ptr)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1152, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1328, in _do_run
run_metadata)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1348, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.UnknownError: NewRandomAccessFile failed to Create/Open: A:\Code\Machine Learning\Software Engineering project\Quick Draw\TFRecord Train dataset : Access is denied.
; Input/output error
[[node IteratorGetNext (defined at A:\Code\Machine Learning\Software Engineering project\Quick Draw\Train_Model.py:70) = IteratorGetNext[output_shapes=[[?,1], [?,?], [?,2], [?,1]], output_types=[DT_INT64, DT_FLOAT, DT_INT64, DT_INT64], _device="/job:localhost/replica:0/task:0/device:CPU:0"](OneShotIterator)]]
[[{{node IteratorGetNext/_317}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_20_IteratorGetNext", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
Caused by op 'IteratorGetNext', defined at:
File "<string>", line 1, in <module>
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\idlelib\run.py", line 144, in main
ret = method(*args, **kwargs)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\idlelib\run.py", line 474, in runcode
exec(code, self.locals)
File "A:\Code\Machine Learning\Software Engineering project\Quick Draw\Train_Model.py", line 303, in <module>
tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "A:\Code\Machine Learning\Software Engineering project\Quick Draw\Train_Model.py", line 214, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_spec)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 471, in train_and_evaluate
return executor.run()
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 610, in run
return self.run_local()
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 711, in run_local
saving_listeners=saving_listeners)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 354, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1207, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1234, in _train_model_default
input_fn, model_fn_lib.ModeKeys.TRAIN))
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1075, in _get_features_and_labels_from_input_fn
self._call_input_fn(input_fn, mode))
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1162, in _call_input_fn
return input_fn(**kwargs)
File "A:\Code\Machine Learning\Software Engineering project\Quick Draw\Train_Model.py", line 70, in input_func
features, labels = dataset.make_one_shot_iterator().get_next()
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\data\ops\iterator_ops.py", line 421, in get_next
name=name)), self._output_types,
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\gen_dataset_ops.py", line 2108, in iterator_get_next
output_shapes=output_shapes, name=name)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
return func(*args, **kwargs)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 3274, in create_op
op_def=op_def)
File "C:\Users\shind\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 1770, in __init__
self._traceback = tf_stack.extract_stack()
UnknownError (see above for traceback): NewRandomAccessFile failed to Create/Open: A:\Code\Machine Learning\Software Engineering project\Quick Draw\TFRecord Train dataset : Access is denied.
; Input/output error
[[node IteratorGetNext (defined at A:\Code\Machine Learning\Software Engineering project\Quick Draw\Train_Model.py:70) = IteratorGetNext[output_shapes=[[?,1], [?,?], [?,2], [?,1]], output_types=[DT_INT64, DT_FLOAT, DT_INT64, DT_INT64], _device="/job:localhost/replica:0/task:0/device:CPU:0"](OneShotIterator)]]
[[{{node IteratorGetNext/_317}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_20_IteratorGetNext", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
我没有确切地知道哪个函数给出了错误。因此，我尚未发布代码，因为我不知道代码的相关部分。但是为什么拒绝访问？我使用了与存储库中几乎相同的代码。另外，我没有得到错误的根源，仅仅是访问被拒绝还是其他？请帮帮我。
答案 0 :(得分：0)
请确保您正在访问的文件具有正确的扩展名".tfrecords"。
当试图访问的文件没有正确的扩展名时，就会发生此问题。