在docker容器内启动jupyter时出错

Question

我成功地在ubuntu 18.04上安装了docker和nvidia-docker，我从NVIDIA的GPU云中提取了这个图像

https://ngc.nvidia.com/catalog/containers/nvidia:caffe

用这个命令运行它

nvidia-docker run -it --rm -v /home/stefan/Dropbox:/data -p 8888:8888 nvcr.io/nvidia/caffe:19.03-py2 sh

例如，容器给了我一个shell提示，它似乎可以工作

# nvidia-smi

导致

Sat Mar 30 21:03:30 2019       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.39       Driver Version: 418.39       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 105...  On   | 00000000:01:00.0  On |                  N/A |
| 20%   30C    P8    N/A /  75W |    441MiB /  4038MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|

它看到了我脆弱的gpu。我尝试用这个命令运行jupyter

#jupyter-notebook

但我明白了

[I 21:05:18.088 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
Traceback (most recent call last):
  File "/usr/local/bin/jupyter-notebook", line 10, in <module>
    sys.exit(main())
  File "/usr/local/lib/python2.7/dist-packages/jupyter_core/application.py", line 266, in launch_instance
    return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 657, in launch_instance
    app.initialize(argv)
  File "</usr/local/lib/python2.7/dist-packages/decorator.pyc:decorator-gen-7>", line 2, in initialize
  File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 87, in catch_config_error
    return method(app, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/notebook/notebookapp.py", line 1628, in initialize
    self.init_webapp()
  File "/usr/local/lib/python2.7/dist-packages/notebook/notebookapp.py", line 1407, in init_webapp
    self.http_server.listen(port, self.ip)
  File "/usr/local/lib/python2.7/dist-packages/tornado/tcpserver.py", line 143, in listen
    sockets = bind_sockets(port, address=address)
  File "/usr/local/lib/python2.7/dist-packages/tornado/netutil.py", line 168, in bind_sockets
    sock.bind(sockaddr)
  File "/usr/lib/python2.7/socket.py", line 228, in meth
    return getattr(self._sock,name)(*args)
socket.error: [Errno 99] Cannot assign requested address

我知道Jupyter安装在容器里因为当我打字的时候

#jupyter --version

我得到

4.4.0

打字

# jupyter

给予

usage: jupyter [-h] [--version] [--config-dir] [--data-dir] [--runtime-dir]
               [--paths] [--json]
               [subcommand]
jupyter: error: one of the arguments --version subcommand --config-dir --data-dir --runtime-dir --paths is required

在连接到容器的主机目录中，我有几个笔记本

# ls
NBA.ipynb  exponents.ipynb        hello_deep_learning-master    

但似乎什么都没用

# jupyter NBA.ipynb

Error executing Jupyter command 'NBA.ipynb': [Errno 2] No such file or directory


# jupyter notebook NBA.ipynb

Traceback (most recent call last):
  File "/usr/local/bin/jupyter-notebook", line 10, in <module>
    sys.exit(main())
  File "/usr/local/lib/python2.7/dist-packages/jupyter_core/application.py", line 266, in launch_instance
    return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 657, in launch_instance
    app.initialize(argv)
  File "</usr/local/lib/python2.7/dist-packages/decorator.pyc:decorator-gen-7>", line 2, in initialize
  File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 87, in catch_config_error
    return method(app, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/notebook/notebookapp.py", line 1628, in initialize
    self.init_webapp()
  File "/usr/local/lib/python2.7/dist-packages/notebook/notebookapp.py", line 1407, in init_webapp
    self.http_server.listen(port, self.ip)
  File "/usr/local/lib/python2.7/dist-packages/tornado/tcpserver.py", line 143, in listen
    sockets = bind_sockets(port, address=address)
  File "/usr/local/lib/python2.7/dist-packages/tornado/netutil.py", line 168, in bind_sockets
    sock.bind(sockaddr)
  File "/usr/lib/python2.7/socket.py", line 228, in meth
    return getattr(self._sock,name)(*args)
socket.error: [Errno 99] Cannot assign requested address


# jupyter-notebook NBA.ipynb

Traceback (most recent call last):
  File "/usr/local/bin/jupyter-notebook", line 10, in <module>
    sys.exit(main())
  File "/usr/local/lib/python2.7/dist-packages/jupyter_core/application.py", line 266, in launch_instance
    return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 657, in launch_instance
    app.initialize(argv)
  File "</usr/local/lib/python2.7/dist-packages/decorator.pyc:decorator-gen-7>", line 2, in initialize
  File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 87, in catch_config_error
    return method(app, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/notebook/notebookapp.py", line 1628, in initialize
    self.init_webapp()
  File "/usr/local/lib/python2.7/dist-packages/notebook/notebookapp.py", line 1407, in init_webapp
    self.http_server.listen(port, self.ip)
  File "/usr/local/lib/python2.7/dist-packages/tornado/tcpserver.py", line 143, in listen
    sockets = bind_sockets(port, address=address)
  File "/usr/local/lib/python2.7/dist-packages/tornado/netutil.py", line 168, in bind_sockets
    sock.bind(sockaddr)
  File "/usr/lib/python2.7/socket.py", line 228, in meth
    return getattr(self._sock,name)(*args)
socket.error: [Errno 99] Cannot assign requested address

我认为这是语法问题，因为这行得通

  docker run -it --rm -v ~/Dropbox:/tf/notebooks -p 8888:8888 tensorflow/tensorflow:latest-py3-jupyter

它在容器中启动jupyter服务器，在浏览器中，我可以在127.0.0.1打开一个笔记本，其中显示一个目录，我可以在其中看到一个名为“笔记本”的文件夹，其中包含我的Dropbox内容。正如预期的那样，因为我在上面的命令中将dropbox文件夹作为卷装入。

但是如果我打这个

  docker run -it --rm -v ~/Dropbox:/tf/notebooks -p 8888:8888 tensorflow/tensorflow:latest-py3-jupyter sh

我在一个壳，但不能启动jupyter。我得到了相同的错误，因为我之前与nvcr.io/nvidia/caffe图像。如何在运行docker容器shell后启动jupyter？

Answer 1

我想我明白了。在容器的shell提示符下，我键入

jupyter notebook --ip=0.0.0.0 --allow-root

我会把这个留在这里，以防像我这样的新手有类似的问题。（除非版主觉得应该编辑或核）