gyu-don/Dockerfile

## Readme.md

      
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    Dockerfile for sqaod

Sqaod can be run on CPU without CUDA, however this Dockerfile requires CUDA device.
nvidia-docker is also required to run.
Build

mkdir sqaod-docker
cd sqaod-docker
curl -s -L https://gist.githubusercontent.com/gyu-don/4596cac3786cbf39294bdc535345f54e/raw/240e7d73ee8f35f38ae695a54c2df77ed5371b5e/Dockerfile
docker build -t sqaod .
Run

docker run --runtime=nvidia --rm -it sqaod

  
## Dockerfile
FROM nvidia/cuda:9.2-runtime-ubuntu16.04
RUN apt update && \
    apt install -y --no-install-recommends apt-transport-https curl python-pip python-setuptools ipython && \
    . /etc/lsb-release && \
    (echo "deb [arch=amd64] https://shinmorino.github.io/sqaod/ubuntu ${DISTRIB_CODENAME} multiverse" | tee /etc/apt/sources.list.d/sqaod.list) && \
    (curl -s -L https://shinmorino.github.io/sqaod/gpgkey | apt-key add -) && \
    apt update && apt install -y libsqaodc libsqaodc-dev libsqaodc-cuda-9-2 && pip install sqaod
CMD ipython
	FROM nvidia/cuda:9.2-runtime-ubuntu16.04
	RUN apt update && \
	apt install -y --no-install-recommends apt-transport-https curl python-pip python-setuptools ipython && \
	. /etc/lsb-release && \
	(echo "deb [arch=amd64] https://shinmorino.github.io/sqaod/ubuntu ${DISTRIB_CODENAME} multiverse" \| tee /etc/apt/sources.list.d/sqaod.list) && \
	(curl -s -L https://shinmorino.github.io/sqaod/gpgkey \| apt-key add -) && \
	apt update && apt install -y libsqaodc libsqaodc-dev libsqaodc-cuda-9-2 && pip install sqaod
	CMD ipython