在与Docker安装的Tensorflow上运行mnist_softmax.py

问题描述

根据本文给出的教程（支持GPU），我在Ubuntu 16.04 LTS上安装了Tensorflow：

通过此命令管理运行docker：

  nvidia-docker run -it -p 8888：8888 -v / home / myusername / notebooks：/ notebooks gcr.io/tensorflow/tensorflow:latest-gpu 
 
 docker exec -it [my_DOCKER_ID] bash 
  

一旦我设法进入码头bash成功，我发现这里有tensorflow目录：

  cd /usr/local/lib/python2.7/dist-我继续尝试示例代码，并成功地到达了测试。错误为0.8％：
  python convolutional.py 
  
接下来，在教程页面，我想尝试一下mnist_softmax.py。所以我将tensorflow的软件包克隆到/笔记本上：
  cd / notebooks 
 git clone https：// githubcom / tensorflow /但是，运行代码时我发现问题：
 
 
 
 
 
  cd tensorflow / tensorflow / examples / tutorials / mnist / 
 
 python mnist_softmax.py --data_dir / notebooks / tensorflow / tensorflow / examples / tutorials / mnist 
  
 
 
 
 
 
这个错误是由安装错误引起的还是因为我没有完成的步骤，我很无知。我的问题：
 
 
我的安装是否完成？我假设我有一个干净的安装知道我可以运行码头和进入码头巴什。另外，我设法运行convolution.py 
 
 
如果我正确理解Docker，我根本不需要克隆和构建tensorflow包？
 
 
 
 
解决方案
我有同样的问题，这是由于运行更新版本（例如v0.12）的教程代码与旧版本在我的码头容器（在我的情况下为v0.11）的张量流。 
同样的问题在此讨论： 
 
 
 
 app.run（）方法在v0.12之前没有argv参数。
 
I installed Tensorflow on Ubuntu 16.04 LTS following the tutorial given here (with GPU support): Docker Installation for Tensorflow
Managed to run docker with this command:
nvidia-docker run -it -p 8888:8888 -v /home/myusername/notebooks:/notebooks gcr.io/tensorflow/tensorflow:latest-gpu

docker exec -it [my_DOCKER_ID] bash
Once I managed to get into the docker bash successfully, I found that there is tensorflow directory here:
cd /usr/local/lib/python2.7/dist-packages/tensorflow/models/image/mnist/
I proceeded to try the example code and successfully reached Test error of 0.8%:
python convolutional.py
Next, following https://www.tensorflow.org/versions/r0.11/tutorials/mnist/pros/index.html tutorial page, I would like to try mnist_softmax.py. So I cloned tensorflow's package to /notebooks:
cd /notebooks
git clone https://githubcom/tensorflow/tensorflow.git
However, I found problem when running the code:
cd tensorflow/tensorflow/examples/tutorials/mnist/

python mnist_softmax.py --data_dir /notebooks/tensorflow/tensorflow/examples/tutorials/mnist
At this point I'm pretty clueless whether the error was caused by bad installation or it's because there are steps that I havent done. My questions:
Is my installation complete? I assumed I had a clean installation knowing that I can run docker and get into the docker bash. Plus, I managed to run convolution.py
If I understand Docker correctly, I do not need to clone and build tensorflow package at all?
 解决方案 
I had the same problem and it was caused by running tutorial code from a later version (eg v0.12) against an older version of tensorflow which was in my docker container (v0.11 in my case).The same problem is discussed here: https://github.com/tensorflow/tensorflow/issues/5643
The app.run() method didn't have the argv parameter until v0.12.
                        
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