Sample for creating new environment on gpu.
(If you want to create environment on cpu, replace for_research_on_gpu to for_research_on_cpu in Dockerfile.)
$ wget https://raw.githubusercontent.com/johshisha/docker_for_research/master/sample/Dockerfile
$ touch requirements.txt # and edit if you want
$ docker build -t sample/sample .
$ nvidia-docker run --rm -it -p 8888:8888 -v "$PWD":/home/docker/work sample/sample /bin/bash # If on cpu, replace nvidia-docker to docker
- build
$ git clone https://github.com/johshisha/docker_for_research && cd docker_for_research
$ docker build -t [tag]:[version] -f ./dockers/build/Dockerfile.gpu . --build-arg PASSWD=docker_user_password
- run jupyter notebook
$ nvidia-docker run --rm -it -p 8888:8888 -v "$PWD":/home/docker/work [tag]:[version] jupyter-notebook --ip=0.0.0.0
# access `http://0.0.0.0:8888/?token=~~~`
- run bash
$ nvidia-docker run --rm -it -p 8888:8888 -v "$PWD":/home/docker/work [tag]:[version] /bin/bash
- build
$ git clone https://github.com/johshisha/docker_for_research && cd docker_for_research
$ docker build -t [tag]:[version] -f ./dockers/build/Dockerfile.cpu . --build-arg PASSWD=docker_user_password
- run jupyter notebook
$ docker run --rm -it -p 8888:8888 -v "$PWD":/home/docker/work [tag]:[version] jupyter-notebook --ip=0.0.0.0
# access `http://0.0.0.0:8888/?token=~~~`
- run bash
$ docker run --rm -it -p 8888:8888 -v "$PWD":/home/docker/work [tag]:[version] /bin/bash
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