2016-12-13 92 views
0

几乎所有的张量流脚本都以这个错误结束,是什么原因造成的?运行mnist_softmax.py时出错

代码:

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

我缺少什么?

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

请提供一些代码 – martianwars

+0

看起来像它与读取文件有关。它是如何工作的,如果你自己读取MNIST数据? –

+1

此外,这看起来特定于Windows。用谷歌搜索错误消息给了GitHub提交。对Windows的TF支持是全新的,你可能想在他们的GitHub上发布一个问题。 –

回答

0

您是否试过0.11版本?我也遇到了一些错误的主分支,所以我切换到r0.11分支