由于出現(xiàn)以下錯誤

所以懷疑是沒有運行fully_connected_feed.py文件的問題。

錯誤：

不能運行fully_connected_feed.py

解決：

把克隆好的mnist數(shù)據(jù)集放入C:\Users\yyuqi\Anaconda3\Lib\site-packages\tensorflow\tensorflow\examples\tutorials\mnist中

運行python?fully_connected_feed.py

又出現(xiàn)錯誤：

ModuleNotFoundError: No module named 'tensorflow.examples'

解決：

需要在創(chuàng)建的虛擬環(huán)境（Anaconda Prompt）中運行。

又出現(xiàn)錯誤：

C:\Users\yyuqi\Anaconda3\envs\tensorflow\lib\site-packages\h5py\__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_convertersTraceback (most recent call last): File "fully_connected_feed.py", line 279, in tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)

? File "C:\Users\yyuqi\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run

? ? _sys.exit(main(_sys.argv[:1] + flags_passthrough))

? File "fully_connected_feed.py", line 221, in main

? ? tf.gfile.MakeDirs(FLAGS.log_dir)

? File "C:\Users\yyuqi\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 367, in recursive_create_dir

? ? pywrap_tensorflow.RecursivelyCreateDir(compat.as_bytes(dirname), status)

? File "C:\Users\yyuqi\Anaconda3\envs\tensorflow\lib\contextlib.py", line 66, in __exit__

? ? next(self.gen)

? File "C:\Users\yyuqi\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status

? ? pywrap_tensorflow.TF_GetCode(status))

tensorflow.python.framework.errors_impl.NotFoundError: Failed to create a directory: /tmp\tensorflow

其中錯誤：

File "fully_connected_feed.py", line 279, in tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)

????????以上報錯原因是tensorflow版本太低。

查看tensorflow版本辦法：

????????<<< import tensorflow

????????<<< tensorflow.__version__

升級tensorflow辦法：

????????GPU版：pip3 install --upgrade tensorflow-gpu

? ? ? ? CPU版：pip3 install --upgrade tensorflow

更新pip：python -m pip install --upgrade pip