导入 input_data MNIST 张量流不起作用

问题描述

TensorFlow MNIST 示例未与fully_connected_feed.py 一起运行

我检查了这个并意识到 input_data 不是内置的.所以我从这里.如何开始本教程:

I checked this out and realized that input_data was not built-in. So I downloaded the whole folder from here. How can I start the tutorial:

import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)


---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-6-a5af65173c89> in <module>()
----> 1 import input_data
      2 mnist = tf.input_data.read_data_sets("MNIST_data/", one_hot=True)

ImportError: No module named input_data

我正在使用 iPython (Jupyter)，所以我需要将我的工作目录更改为我下载的这个文件夹吗?或者我可以将它添加到我的 tensorflow 目录中吗?如果是这样，我在哪里添加文件?我用 pip(在我的 OSX 上)安装了 tensorflow，当前位置是 ~/anaconda/lib/python2.7/site-packages/tensorflow/__init__.py

I'm using iPython (Jupyter) so do I need to change my working directory to this folder I downloaded? or can I add this to my tensorflow directory? If so, where do I add the files? I installed tensorflow with pip (on my OSX) and the current location is ~/anaconda/lib/python2.7/site-packages/tensorflow/__init__.py

这些文件是否应该像 sklearn 数据集一样通过 tensorflow 直接访问?还是我只是应该 cd 进入目录并从那里开始工作?例子不清楚.

Are these files meant to be accessed directly through tensorflow like sklearn datasets? or am I just supposed to cd into the directory and work from there? The example is not clear.

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推荐答案

所以让我们假设您在目录中:/somePath/tensorflow/tutorial(这是您的工作目录).

So let's assume that you are in the directory: /somePath/tensorflow/tutorial (and this is your working directory).

您需要做的就是下载input_data.py 文件并像这样放置.让我们假设您调用的文件名:

All you need to do is to download the input_data.py file and place it like this. Let's assume that the file name you invoke:

import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
...

是 main.py 并且它也在同一目录中.

is main.py and it is also in the same directory.

一旦完成，您就可以开始运行 main.py 这将开始下载文件并将它们放在 MNIST_data 文件夹中(一旦它们在那里，脚本将不会在下一次下载它们时间).

Once this is done, you can just start running main.py which will start downloading the files and will put them in the MNIST_data folder (once they are there the script will not be downloading them next time).

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