Hello_User/gpu-jupyter
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ignore push_tag and fixed README explaination

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Christoph Schranz
2021-01-05 14:10:00 +01:00
parent 6ae6d0aa54
commit 03392f4136
1 changed files with 2 additions and 2 deletions
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README.md
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@@ -62,7 +62,7 @@ The image of this repository is available on [Dockerhub](https://hub.docker.com/
environment will be downloaded: environment will be downloaded:
```bash ```bash
cd your-working-directory cd your-working-directory
docker run --gpus all -d -it -p 8848:8888 -v $pwd/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes --user root cschranz/gpu-jupyter:v1.2_cuda-10.1_ubuntu-18.04_python-only docker run --gpus all -d -it -p 8848:8888 -v $(pwd)/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes --user root cschranz/gpu-jupyter:v1.2_cuda-10.1_ubuntu-18.04_python-only
``` ```
This starts an instance with of *GPU-Jupyter* the tag `v1.2_cuda-10.1_ubuntu-18.04_python-only` at [http://localhost:8848](http://localhost:8848) (port `8484`). This starts an instance with of *GPU-Jupyter* the tag `v1.2_cuda-10.1_ubuntu-18.04_python-only` at [http://localhost:8848](http://localhost:8848) (port `8484`).
The default password is `asdf` which should be changed as described [below](#set-password). The default password is `asdf` which should be changed as described [below](#set-password).
@@ -92,7 +92,7 @@ with the default password `asdf`.
# generate a Dockerfile with python and without Julia and R # generate a Dockerfile with python and without Julia and R
./generate-Dockerfile.sh --no-datascience-notebook ./generate-Dockerfile.sh --no-datascience-notebook
docker build -t gpu-jupyter .build/ # will take a while docker build -t gpu-jupyter .build/ # will take a while
docker run --gpus all -d -it -p 8848:8888 -v $pwd/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes --user root --restart always --name gpu-jupyter_1 gpu-jupyter docker run --gpus all -d -it -p 8848:8888 -v $(pwd)/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes --user root --restart always --name gpu-jupyter_1 gpu-jupyter
``` ```
This starts a container WITH GPU support, a shared local data volume `data` This starts a container WITH GPU support, a shared local data volume `data`