FROM python:3.10.8-slim-bullseye # debian:bullseye-20230109-slim ARG NB_USER="jovyan" ARG NB_UID="1000" ARG NB_GID="100" RUN apt-get update --yes && \ # - apt-get upgrade is run to patch known vulnerabilities in apt-get packages as # the ubuntu base image is rebuilt too seldom sometimes (less than once a month) apt-get upgrade --yes && \ apt-get install --yes --no-install-recommends \ # - bzip2 is necessary to extract the micromamba executable. bzip2 \ ca-certificates \ locales \ sudo \ nano \ build-essential \ tini \ wget && \ apt-get clean && rm -rf /var/lib/apt/lists/* && \ echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \ locale-gen # Configure environment ENV CONDA_DIR=/opt/conda \ SHELL=/bin/bash \ NB_USER="${NB_USER}" \ NB_UID=${NB_UID} \ NB_GID=${NB_GID} \ LC_ALL=en_US.UTF-8 \ LANG=en_US.UTF-8 \ LANGUAGE=en_US.UTF-8 ENV PATH="${CONDA_DIR}/bin:${PATH}" \ HOME="/home/${NB_USER}" # Copy a script that we will use to correct permissions after running certain commands COPY fix-permissions /usr/local/bin/fix-permissions RUN chmod a+rx /usr/local/bin/fix-permissions # Enable prompt color in the skeleton .bashrc before creating the default NB_USER # hadolint ignore=SC2016 RUN sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /etc/skel/.bashrc && \ # Add call to conda init script see https://stackoverflow.com/a/58081608/4413446 echo 'eval "$(command conda shell.bash hook 2> /dev/null)"' >> /etc/skel/.bashrc # Create NB_USER with name jovyan user with UID=1000 and in the 'users' group # and make sure these dirs are writable by the `users` group. RUN echo "auth requisite pam_deny.so" >> /etc/pam.d/su && \ sed -i.bak -e 's/^%admin/#%admin/' /etc/sudoers && \ sed -i.bak -e 's/^%sudo/#%sudo/' /etc/sudoers && \ useradd -l -m -s /bin/bash -N -u "${NB_UID}" "${NB_USER}" && \ mkdir -p "${CONDA_DIR}" && \ chown "${NB_USER}:${NB_GID}" "${CONDA_DIR}" && \ chmod g+w /etc/passwd && \ fix-permissions "${HOME}" && \ fix-permissions "${CONDA_DIR}" USER ${NB_UID} # Pin python version here, or set it to "default" ARG PYTHON_VERSION=3.10 # Setup work directory for backward-compatibility RUN mkdir "/home/${NB_USER}/work" && \ fix-permissions "/home/${NB_USER}" COPY --chown="${NB_UID}:${NB_GID}" initial-condarc "${CONDA_DIR}/.condarc" WORKDIR /tmp RUN set -x && \ arch=$(uname -m) && \ if [ "${arch}" = "x86_64" ]; then \ # Should be simpler, see arch="64"; \ fi && \ wget -qO /tmp/micromamba.tar.bz2 \ "https://micromamba.snakepit.net/api/micromamba/linux-${arch}/latest" && \ tar -xvjf /tmp/micromamba.tar.bz2 --strip-components=1 bin/micromamba && \ rm /tmp/micromamba.tar.bz2 && \ PYTHON_SPECIFIER="python=${PYTHON_VERSION}" && \ if [[ "${PYTHON_VERSION}" == "default" ]]; then PYTHON_SPECIFIER="python"; fi && \ # Install the packages ./micromamba install \ --root-prefix="${CONDA_DIR}" \ --prefix="${CONDA_DIR}" \ --yes \ "${PYTHON_SPECIFIER}" \ 'mamba' \ 'jupyter_core' && \ rm micromamba && \ # Pin major.minor version of python mamba list python | grep '^python ' | tr -s ' ' | cut -d ' ' -f 1,2 >> "${CONDA_DIR}/conda-meta/pinned" && \ mamba clean --all -f -y && \ fix-permissions "${CONDA_DIR}" && \ fix-permissions "/home/${NB_USER}" #RUN conda update --all --yes #RUN conda install -c conda-forge tensorflow-gpu=2.11 -y #RUN CONDA_CUDA_OVERRIDE="11.2" mamba install --yes -c conda-forge tensorflow==2.10.0=cuda112py310* ENV CONDA_CUDA_OVERRIDE="11.2" ENV NUM_GPUS=1 #RUN mamba install -y tensorflow cudatoolkit>=11.2 -c conda-forge #==2.11.0=cuda* #RUN mamba install -y -c conda-forge tensorflow-gpu RUN CONDA_OVERRIDE_CUDA="11.2" conda install tensorflow-gpu==2.11.0 -c conda-forge WORKDIR /tmp RUN mamba install --quiet --yes \ 'notebook' \ 'jupyterhub' \ 'numba' \ 'cython' \ 'matplotlib-base' \ 'pandas' \ 'scipy' \ 'scikit-image' \ 'scikit-learn' \ 'jupyterlab' && \ jupyter notebook --generate-config && \ mamba clean --all -f -y && \ npm cache clean --force && \ jupyter lab clean && \ rm -rf "/home/${NB_USER}/.cache/yarn" && \ fix-permissions "${CONDA_DIR}" && \ fix-permissions "/home/${NB_USER}" ENV JUPYTER_PORT=8888 EXPOSE $JUPYTER_PORT RUN pip install --extra-index-url https://git.sandbox.iuk.hdm-stuttgart.de/api/packages/grosse/pypi/simple jupyterlab-sandbox-theme RUN pip install --extra-index-url https://git.sandbox.iuk.hdm-stuttgart.de/api/packages/grosse/pypi/simple jupyterlab-data-pool RUN pip install --extra-index-url https://git.sandbox.iuk.hdm-stuttgart.de/api/packages/grosse/pypi/simple jupyterlab-training RUN pip install --extra-index-url https://git.sandbox.iuk.hdm-stuttgart.de/api/packages/grosse/pypi/simple jupyterlab-synthetic-data # Configure container startup CMD ["start-notebook.sh"] # Copy local files as late as possible to avoid cache busting COPY start-notebook.sh start-singleuser.sh /usr/local/bin/ # Currently need to have both jupyter_notebook_config and jupyter_server_config to support classic and lab COPY jupyter_server_config.py /etc/jupyter/ # Fix permissions on /etc/jupyter as root USER root RUN echo 'export PATH=/opt/conda/bin:$PATH' >> /etc/profile #RUN source /etc/profile # Legacy for Jupyter Notebook Server, see: [#1205](https://github.com/jupyter/docker-stacks/issues/1205) RUN sed -re "s/c.ServerApp/c.NotebookApp/g" \ /etc/jupyter/jupyter_server_config.py > /etc/jupyter/jupyter_notebook_config.py && \ fix-permissions /etc/jupyter/ # HEALTHCHECK documentation: https://docs.docker.com/engine/reference/builder/#healthcheck # This healtcheck works well for `lab`, `notebook`, `nbclassic`, `server` and `retro` jupyter commands # https://github.com/jupyter/docker-stacks/issues/915#issuecomment-1068528799 HEALTHCHECK --interval=5s --timeout=3s --start-period=5s --retries=3 \ CMD wget -O- --no-verbose --tries=1 --no-check-certificate \ http${GEN_CERT:+s}://localhost:${JUPYTER_PORT}${JUPYTERHUB_SERVICE_PREFIX:-/}api || exit 1 # Switch back to jovyan to avoid accidental container runs as root USER ${NB_UID} WORKDIR "${HOME}"