94 lines
3.6 KiB
Markdown
Executable File
94 lines
3.6 KiB
Markdown
Executable File
# Base Jupyter Notebook Stack
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> **Images hosted on Docker Hub are no longer updated. Please, use [quay.io image](https://quay.io/repository/jupyter/base-notebook)**
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[](https://hub.docker.com/r/jupyter/base-notebook/)
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[](https://hub.docker.com/r/jupyter/base-notebook/)
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[](https://hub.docker.com/r/jupyter/base-notebook/ "jupyter/base-notebook image size")
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GitHub Actions in the <https://github.com/jupyter/docker-stacks> project builds and pushes this image to the Registry.
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Please visit the project documentation site for help to use and contribute to this image and others.
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- [Jupyter Docker Stacks on ReadTheDocs](https://jupyter-docker-stacks.readthedocs.io/en/latest/index.html)
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- [Selecting an Image :: Core Stacks :: jupyter/base-notebook](https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html#jupyter-base-notebook)
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# 构建docker-compose spawner镜像的Dockerfile
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构建基[础镜像参考](https://github.com/jupyter/docker-stacks)
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```shell
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cp docker-stacks/images/base-notebook/* ./spawnerdockerfile/
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cd spawnerdockerfile
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docker buildx build -t hotwa/notebook:latest . -f Dockerfile.base-notebook --load
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```
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# 添加虚拟环境到jupyterhub
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```shell
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# 创建新的虚拟环境
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micromamba create -n plot -c conda-forge scienceplots autopep8 python=3 ipykernel pandas numpy matplotlib scipy seaborn orange3 -y
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micromamba run -n plot python -m pip install bamboolib
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# 激活需要添加的虚拟环境
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micromamba activate plot
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# 环境中安装ipykernel
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micromamba install -c conda-forge ipykernel -y
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# 将新的虚拟环境添加为一个jupyter的内核
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micromamba run -n plot python -m ipykernel install --user --name="sciplot" --display-name="SCIPlot Environment"
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```
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# micromamba 提示需要初始化 解决方法
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```shell
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eval "$(micromamba shell hook --shell bash)"
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```
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或者使用
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```shell
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miromamba init
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source ~/.bashrc
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```
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这个操作会激活micromamba(mamba, conda)的安装目录`etc/profile.d/micromamba.sh`激活添加到bash初始化文件`.bashrc`里面
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# docker镜像
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关于这个jupyterlab的spawner的notebook启动的镜像来源于：quay.io/jupyterdocker-stacks-foundation
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这个镜像的构建仓库是：https://github.com/jupyter/docker-stacks/blob/main/images/docker-stacks-foundation/Dockerfile
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可以把这个Dockerfile的ARG参数ROOT_CONTAINER修改为docker pull nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04
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pytorch-notebook构建顺序是：
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docker-stacks-foundation
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base-notebook
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minimal-notebook
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scipy-notebook
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pytorch-notebook
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第一步
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```shell
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git clone https://github.com/jupyter/docker-stacks.git
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cd docker-stacks/images/docker-stacks-foundation
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docker buildx build --build-arg ROOT_CONTAINER=nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04 -t quay.io/hotwa/docker-stacks-foundation:latest . --load # docker pull nvidia/cuda:12.4.1-devel-ubuntu22.04
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cd ../base-notebook
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docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/base-notebook:latest . --load
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cd ../minimal-notebook/
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docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/minimal-notebook:latest . --load
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cd ../scipy-notebook
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docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/scipy-notebook:latest . --load
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cd ../pytorch-notebook
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docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/pytorch-notebook:latest . --load
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```
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# 然后构建自己的基础镜像
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```shell
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docker buildx build --build-arg OWNER=hotwa -t quay.io/hotwa/notebook:latest -f Dockerfile.base-notebook . --load
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# 导出保存
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```
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