我尝试使用docker。我从这里开始:
~/tensorflow$ docker run -u $(id -u):$(id -g) -it -p 8888:8888 tensorflow/tensorflow:nightly-py3-jupyter
打印出来:
________ _______________
___ __/__________________________________ ____/__ /________ __
__ / _ _ \_ __ \_ ___/ __ \_ ___/_ /_ __ /_ __ \_ | /| / /
_ / / __/ / / /(__ )/ /_/ / / _ __/ _ / / /_/ /_ |/ |/ /
/_/ \___//_/ /_//____/ \____//_/ /_/ /_/ \____/____/|__/
You are running this container as user with ID 1000 and group 1000,
which should map to the ID and group for your user on the Docker host. Great!
[I 05:42:44.497 NotebookApp] Writing notebook server cookie secret to /.local/share/jupyter/runtime/notebook_cookie_secret
/usr/local/lib/python3.5/dist-packages/IPython/paths.py:68: UserWarning: IPython parent '/' is not a writable location, using a temp directory.
" using a temp directory.".format(parent))
[I 05:42:45.970 NotebookApp] Serving notebooks from local directory: /tf
哪个IPython父级“/”不可写？
我的系统上也没有目录/ tf。
[I 05:42:45.971 NotebookApp] The Jupyter Notebook is running at:
[I 05:42:45.971 NotebookApp] http://(87eb400fcb15 or 127.0.0.1):8888/?token=52ea6e8417f21a2cf0463ce147747f79ff6a7e290014a768
[I 05:42:45.971 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 05:42:45.975 NotebookApp]
To access the notebook, open this file in a browser:
file:///.local/share/jupyter/runtime/nbserver-12-open.html
Or copy and paste one of these URLs:
http://(87eb400fcb15 or 127.0.0.1):8888/?token=52ea6e8417f21a2cf0463ce147747f79ff6a7e290014a768
[I 05:44:25.595 NotebookApp] 302 GET /?token=52ea6e8417f21a2cf0463ce147747f79ff6a7e290014a768 (172.17.0.1) 1.23ms
[I 05:44:44.277 NotebookApp] Writing notebook-signing key to /.local/share/jupyter/notebook_secret
它说它想写“notebook_cookie_secret”，但是，在jupyter中没有目录运行时。 jupyter的权限:
~/.local/share$ ls -la jupyter/
total 16
drwxr-xr-x 4 ronald ronald 4096 Jan 29 09:10 .
drwx------ 30 ronald ronald 4096 Apr 8 09:39 ..
drwxr-xr-x 3 ronald ronald 4096 Jan 29 09:10 kernels
drwxr-xr-x 3 ronald ronald 4096 Jan 29 09:10 nbextensions
由于文件不存在，因此无法访问file:///。
我可以通过127.0.0.1/访问笔记本电脑...
我在浏览器的另一个选项卡中打开了这三个文件。这将启动两个文件basic_classification.ipynb和basic_text_classification.ipynb
我在那我不知道会发生什么，或者如何使某件事发生。我以为，也许需要时间，但即使一小时后，它仍显示“正在运行”。请给我一些提示。
请您参考如下方法:
我认为您不能通过这种方式直接在Docker上运行Jupyter文件，因为Docker Image设置为不直接更改。
尝试使用此库作为解决方案:
https://github.com/yhilpisch/ipynb-docker
