2016-12-13 26 views
0

幾乎所有的張量流腳本都以這個錯誤結束,是什麼原因造成的?運行mnist_softmax.py時出錯

代碼:

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/mnist/mnist.py 

我缺少什麼?

C:\Users\\AppData\Local\Continuum\Anaconda3\python.exe C:/Users//AppData/Local/Continuum/Anaconda3/Lib/site-packages/tensorflow/examples/tutorials/mnist/mnist_softmax.py 
Traceback (most recent call last): 
    File "C:/Users//AppData/Local/Continuum/Anaconda3/Lib/site-packages/tensorflow/examples/tutorials/mnist/mnist_softmax.py", line 78, in <module> 
    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) 
    File "C:\Users\\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\platform\app.py", line 43, in run 
    sys.exit(main(sys.argv[:1] + flags_passthrough)) 
    File "C:/Users//AppData/Local/Continuum/Anaconda3/Lib/site-packages/tensorflow/examples/tutorials/mnist/mnist_softmax.py", line 37, in main 
    mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=True) 
    File "C:\Users\\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py", line 211, in read_data_sets 
    SOURCE_URL + TRAIN_IMAGES) 
    File "C:\Users\\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py", line 142, in maybe_download 
    gfile.Copy(temp_file_name, filepath) 
    File "C:\Users\\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 316, in copy 
    compat.as_bytes(oldpath), compat.as_bytes(newpath), overwrite, status) 
    File "C:\Users\\AppData\Local\Continuum\Anaconda3\lib\contextlib.py", line 66, in __exit__ 
    next(self.gen) 
    File "C:\Users\\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 469, in raise_exception_on_not_ok_status 
    pywrap_tensorflow.TF_GetCode(status)) 
tensorflow.python.framework.errors_impl.OutOfRangeError: Read fewer bytes than requested 

Process finished with exit code 1 
+1

請提供一些代碼 – martianwars

+0

看起來像它與讀取文件有關。它是如何工作的,如果你自己讀取MNIST數據? –

+1

此外,這看起來特定於Windows。用谷歌搜索錯誤消息給了GitHub提交。對Windows的TF支持是全新的,你可能想在他們的GitHub上發佈一個問題。 –

回答

0

您是否試過0.11版本?我也遇到了一些錯誤的主分支,所以我切換到r0.11分支