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build & push all image configurations (python-only mode)

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Christoph Schranz 2021-01-28 11:32:51 +01:00
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README.md
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@ -62,9 +62,9 @@ The image of this repository is available on [Dockerhub](https://hub.docker.com/
environment will be downloaded:
```bash
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:v1.3_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 `v1.3_cuda-10.1_ubuntu-18.04_python-only` at [http://localhost:8848](http://localhost:8848) (port `8484`).
The default password is `gpu-jupyter` (previously `asdf`) which should be changed as described [below](#set-password).
Furthermore, data within the host's `data` directory is shared with the container.
Other versions of GPU-Jupyter are available and listed on Dockerhub under [Tags](https://hub.docker.com/r/cschranz/gpu-jupyter/tags?page=1&ordering=last_updated).