tboquet/travis_worker repository overview

⁠okeydockey

Chains of Dockerfiles for ML and stats research.

⁠Requirements and installation

• nvidia-docker⁠
• one or more NVIDIA gpu(s) with cuda compute capabilities > 3.0
• CUDA driver installed on the Host OS

For more information about the nvidia-docker tool, please take a look at the requirement⁠ and the installation⁠ steps in the nvidia-docker wiki⁠.

⁠Specific example:

If you want to use your GPU 0 and GPU 1 (as listed by nvidia-smi), be able to serve an ipython notebook via the port 8888 and mount a volume where some notebooks are located you could use:

NV_GPU='0,1' nvidia-docker run -it -p 8888:8888 -v ~/notebooks:/notebooks tboquet/nameoftherepo