在 docker 容器内启动 jupyter 时出错

Question

我在 ubuntu 18.04 上成功安装了 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

并使用此命令运行它

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

容器给了我一个 shell 提示，它似乎可以工作，例如

# nvidia-smi

结果是

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      |
|=============================================================================|

它看到了我懦弱的 GPU。我尝试使用此命令运行 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 安装在容器中，因为当我输入时

#jupyter --version

我得到

4.4.0

打字

# jupyter

给

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

我附加到容器的主机目录中有几个笔记本

# ls
NBA.ipynb  exponents.ipynb        hello_deep_learning-master    

但似乎没有任何效果

# 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

我认为这是一个语法问题，因为这有效

  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 打开笔记本，其中显示了一个目录，我可以在其中看到一个名为“notebooks”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我的 dropbox 文件夹安装为一个卷。

但是如果我输入这个

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

我在 shell 中，但无法启动 jupyter。我遇到了与之前使用 nvcr.io/nvidia/caffe 图像时相同的错误。在我处于正在运行的 docker 容器外壳中后，如何启动 jupyter？

Answer 1

我想我想通了。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，以防像我这样的其他菜鸟有类似的问题。（除非版主觉得应该编辑或删减）