Skip to content

Instantly share code, notes, and snippets.

@hurrycane
Last active February 22, 2017 07:18
Show Gist options
  • Save hurrycane/6ea963013017daf0e0c38b08ffb8a4ae to your computer and use it in GitHub Desktop.
Save hurrycane/6ea963013017daf0e0c38b08ffb8a4ae to your computer and use it in GitHub Desktop.
# Prerequisities:
# 1. Install docker: https://docs.docker.com/engine/installation/
# 2. Install nvidia-docker: https://github.com/NVIDIA/nvidia-docker
# 3. set $NOTEBOOKS to the persistent local path of your notebooks
sudo nvidia-docker run -d \
--name "tensorflow-jupyter" \
--restart=unless-stopped \
-v $NOTEBOOKS:/notebooks \
-p 6006:6006 -p 8888:8888 \
tensorflow/tensorflow:1.0.0-gpu-py3
CONTAINER_ID=`sudo docker ps -a | grep tensorflow-jupyter | sed 's/ .*//'`
sudo docker logs $CONTAINER_ID
# Copy/paste this URL into your browser when you connect for the first time, to login with a token: $LINK
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment