尝试在docker图像上使用jupyter笔记本(
https://hub.docker.com/r/tensorflow/tensorflow
),但在浏览器中使用端口转发地址时会遇到问题(chrome)主页会挂起
Waiting for 127.0.0...
正在运行的docker命令看起来像
â ~ docker run -it -p 8888:8888 --rm tensorflow/tensorflow:latest-devel-gpu-py3 jupyter-notebook --ip 0.0.0.0 --no-browser --allow-root
[I 04:26:44.023 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
[I 04:26:44.042 NotebookApp] Serving notebooks from local directory: /root
[I 04:26:44.043 NotebookApp] The Jupyter Notebook is running at:
[I 04:26:44.043 NotebookApp] http://(f1afd4b163fd or 127.0.0.1):8888/?token=5a838cefbd58822ce3de5a9ab00ed724bc6f9e048017125a
[I 04:26:44.043 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 04:26:44.043 NotebookApp]
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://(f1afd4b163fd or 127.0.0.1):8888/?token=5a838cefbd58822ce3de5a9ab00ed724bc6f9e048017125a
(注意,也试过了
docker run -it -p 8888:8888 --rm tensorflow/tensorflow:latest-devel-gpu-py3 /run_jupyter.sh --allow-root
类似的悬挂结果)。
检查
docker ps
显示
â ~ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
2114609d6d9d tensorflow/tensorflow:latest-devel-gpu-py3 "jupyter-notebook --â¦" About a minute ago Up About a minute 6006/tcp, 0.0.0.0:8888->8888/tcp mystifying_liskov
通过curl shows检查响应
â ~ curl -v http://127.0.0.1:8888/?token=5a838cefbd58822ce3de5a9ab00ed724bc6f9e048017125a
* Trying 127.0.0.1...
* Connected to 127.0.0.1 (127.0.0.1) port 8888 (#0)
> GET /?token=5a838cefbd58822ce3de5a9ab00ed724bc6f9e048017125a HTTP/1.1
> Host: 127.0.0.1:8888
> User-Agent: curl/7.47.0
> Accept: */*
>
<at this point just hangs until I ctl+C out>
* Recv failure: Connection reset by peer
* Closing connection 0
curl: (56) Recv failure: Connection reset by peer
再看看港口的情况
â ~ sudo netstat -plnt
[sudo] password for me:
Active Internet connections (only servers)
Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name
tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN 1512/sshd
tcp 0 0 127.0.0.1:631 0.0.0.0:* LISTEN 2485/cupsd
tcp 0 0 0.0.0.0:445 0.0.0.0:* LISTEN 2284/smbd
tcp 0 0 127.0.0.1:3306 0.0.0.0:* LISTEN 1502/mysqld
tcp 0 0 0.0.0.0:139 0.0.0.0:* LISTEN 2284/smbd
tcp 0 0 127.0.0.1:5037 0.0.0.0:* LISTEN 8558/adb
tcp 0 0 127.0.0.1:6000 0.0.0.0:* LISTEN 1006/unicorn.rb --h
tcp 0 0 0.0.0.0:8080 0.0.0.0:* LISTEN 1954/monitorix-http
tcp6 0 0 :::22 :::* LISTEN 1512/sshd
tcp6 0 0 ::1:631 :::* LISTEN 2485/cupsd
tcp6 0 0 :::445 :::* LISTEN 2284/smbd
tcp6 0 0 :::8888 :::* LISTEN 32491/docker-proxy
tcp6 0 0 :::139 :::* LISTEN 2284/smbd
tcp6 0 0 :::80 :::* LISTEN 1846/apache2
我看到的另一个帖子似乎是人们根本不转发jupyter希望使用的端口,但这似乎不是问题所在。不管使用的是什么docker图像(所以不仅仅是那个特定的图像),都会发生这种情况。如果任何人有什么想法或任何调试建议,它将不胜感激。
