【发布时间】：2019-08-21 11:42:28
【问题描述】：
我在 ubuntu 18.04 上成功安装了 docker 和 nvidia-docker 我从 NVIDIA 的 GPU 云中提取了这张图片
https://ngc.nvidia.com/catalog/containers/nvidia:caffe
并用这个命令运行它
nvidia-docker run -it --rm -v /home/stefan/Dropbox:/data -p 8888:8888 nvcr.io/nvidia/caffe:19.03-py2 sh
容器给了我一个 shell 提示，它似乎可以工作，例如
# nvidia-smi
结果
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 |
|=============================================================================|
它看到了我的微弱 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 已安装在容器中，因为当我键入时
#jupyter --version
我明白了
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
我在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，因为它有效
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 打开一个笔记本，它显示一个目录，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 Dropbox 文件夹安装为卷。
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。我收到与以前使用 nvcr.io/nvidia/caffe 图像相同的错误。在运行的 docker 容器 shell 中之后如何启动 jupyter？
【问题讨论】：