ignore push_tag and fixed README explaination
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@ -62,7 +62,7 @@ The image of this repository is available on [Dockerhub](https://hub.docker.com/
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environment will be downloaded:
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```bash
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cd your-working-directory
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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
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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
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```
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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`).
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The default password is `asdf` which should be changed as described [below](#set-password).
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@ -92,7 +92,7 @@ with the default password `asdf`.
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# generate a Dockerfile with python and without Julia and R
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./generate-Dockerfile.sh --no-datascience-notebook
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docker build -t gpu-jupyter .build/ # will take a while
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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
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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
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```
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This starts a container WITH GPU support, a shared local data volume `data`
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