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
请提供一些代码 – martianwars
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? –
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。 –