Hi All,
To test the setting of the container on the local machine would be faster than waiting for the queue. I am using nvidia-docker run on Ubuntu 16.04 machine. I also have Jupyter installed on my machine. I have difficulty on running it. If it is possible to replicate this. I will able to test some methods before sending to the synapse. Kindly let me know the solution if possible.
Thanking you
```
Server:~/Tensorflow$ nvidia-docker run docker.synapse.org/syn7246508/tensorflow
[I 18:30:44.311 NotebookApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret
[W 18:30:44.320 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[W 18:30:44.320 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using authentication. This is highly insecure and not recommended.
[I 18:30:44.324 NotebookApp] Serving notebooks from local directory: /
[I 18:30:44.324 NotebookApp] 0 active kernels
[I 18:30:44.324 NotebookApp] The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/
[I 18:30:44.324 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
```
Created by Chetak Kandaswamy chetak The line
> The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/
seems to indicate that your container is running in an interactive mode. This is not possible in the challenge, i.e. your container runs with no user interaction and, in fact, no network access at all.
Hope this helps.
Drop files to upload
Running tensorflow example container on my local machine page is loading…