jupyterlab-datascience-gpu/Dockerfile

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 \
    git \
    git-lfs \
    locales \
    curl \
    dnsutils \
    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 [ "${arch}" = "x86_64" ]; then \
        # Should be simpler, see <https://github.com/mamba-org/mamba/issues/1437>
        arch="64"; \
    fi && \
    wget -qO /tmp/micromamba.tar.bz2 \
        "https://micromamba.snakepit.net/api/micromamba/linux-${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
RUN CONDA_OVERRIDE_CUDA="11.2" conda install -c conda-forge pytorch-gpu
WORKDIR /tmp
RUN mamba install --quiet --yes \
    'notebook' \
    'jupyterhub' \
    'jupyterlab-git' \
    '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 ipywidgets voila jupyterlab-link-share
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
RUN pip install --extra-index-url https://git.sandbox.iuk.hdm-stuttgart.de/api/packages/grosse/pypi/simple jupyterlab-sandbox-announcement
# 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 ${NB_UID}
RUN jupyter labextension disable "@jupyterlab/apputils-extension:announcements"
#USER root
WORKDIR "${HOME}"