Jupyter Lab for local AI work, and Pytorch, Tensorflow, OpenCV, OpenAI Gym (based on cudagl 9 image)
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To run you need to have nvidia driver and nvidia-docker 2 for runtime=nvidia to work. For x-forwarding, eg to see matplatlib and gym atari games locallly, you may need to run xhost +si:localuser:root first):
docker run --runtime=nvidia -ti --rm -e DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix awokeknowing/aitools
18.4 (latest) contain:nvidia/cudagl:9.0-devel-ubuntu16.04Just type lab at the prompt when you run the image as mentioned above, with x-forwarding. Jupyter lab will start, and you can Ctrl+click the link to go to Jupyter Lab in your browser. I included a couple samples which if you run, will show OpenCV and OpenAI Gym running on your local display.
So as a final clarification, there is no 'desktop', nor browser in the image. It's just standard tools for working with AI on a cuda/ubuntu image.
NOTE: because it takes a while to build, I build locally and push the image. That's why the Dockerfile doesn't show, but you can see it in the linked repo.
Content type
Image
Digest
Size
3.3 GB
Last updated
over 8 years ago
docker pull awokeknowing/aitools