318 lines
11 KiB
Docker
Executable File
318 lines
11 KiB
Docker
Executable File
# This adaptive Dockerfile is generated by 'generate-Dockerfile.sh' from parts within src/
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# Use NVIDIA CUDA as base image and run the same installation as in the other packages.
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# The version of cudatoolkit must match those of the base image, see Dockerfile.pytorch
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FROM nvidia/cuda:10.1-base-ubuntu18.04
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# This is a concatenated Dockerfile, the maintainers of subsequent sections may vary.
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RUN chmod 1777 /tmp && chmod 1777 /var/tmp
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############################################################################
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#################### Dependency: jupyter/base-image ########################
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############################################################################
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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# Ubuntu 20.04 (focal)
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# https://hub.docker.com/_/ubuntu/?tab=tags&name=focal
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# OS/ARCH: linux/amd64
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ARG ROOT_CONTAINER=ubuntu:focal-20200423@sha256:238e696992ba9913d24cfc3727034985abd136e08ee3067982401acdc30cbf3f
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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ARG NB_USER="jovyan"
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ARG NB_UID="1000"
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ARG NB_GID="100"
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# Fix DL4006
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SHELL ["/bin/bash", "-o", "pipefail", "-c"]
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USER root
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# Install all OS dependencies for notebook server that starts but lacks all
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# features (e.g., download as all possible file formats)
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ENV DEBIAN_FRONTEND noninteractive
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RUN apt-get update \
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&& apt-get install -yq --no-install-recommends \
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wget \
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bzip2 \
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ca-certificates \
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sudo \
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locales \
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fonts-liberation \
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run-one \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \
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locale-gen
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# Configure environment
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ENV CONDA_DIR=/opt/conda \
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SHELL=/bin/bash \
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NB_USER=$NB_USER \
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NB_UID=$NB_UID \
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NB_GID=$NB_GID \
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LC_ALL=en_US.UTF-8 \
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LANG=en_US.UTF-8 \
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LANGUAGE=en_US.UTF-8
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ENV PATH=$CONDA_DIR/bin:$PATH \
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HOME=/home/$NB_USER
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# Copy a script that we will use to correct permissions after running certain commands
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COPY fix-permissions /usr/local/bin/fix-permissions
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RUN chmod a+rx /usr/local/bin/fix-permissions
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# Enable prompt color in the skeleton .bashrc before creating the default NB_USER
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RUN sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /etc/skel/.bashrc
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# Create NB_USER wtih name jovyan user with UID=1000 and in the 'users' group
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# and make sure these dirs are writable by the `users` group.
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RUN echo "auth requisite pam_deny.so" >> /etc/pam.d/su && \
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sed -i.bak -e 's/^%admin/#%admin/' /etc/sudoers && \
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sed -i.bak -e 's/^%sudo/#%sudo/' /etc/sudoers && \
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useradd -m -s /bin/bash -N -u $NB_UID $NB_USER && \
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mkdir -p $CONDA_DIR && \
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chown $NB_USER:$NB_GID $CONDA_DIR && \
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chmod g+w /etc/passwd && \
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fix-permissions $HOME && \
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fix-permissions $CONDA_DIR
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USER $NB_UID
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WORKDIR $HOME
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ARG PYTHON_VERSION=default
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# Setup work directory for backward-compatibility
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RUN mkdir /home/$NB_USER/work && \
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fix-permissions /home/$NB_USER
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# Install conda as jovyan and check the md5 sum provided on the download site
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ENV MINICONDA_VERSION=4.8.2 \
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MINICONDA_MD5=87e77f097f6ebb5127c77662dfc3165e \
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CONDA_VERSION=4.8.2
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WORKDIR /tmp
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RUN wget --quiet https://repo.continuum.io/miniconda/Miniconda3-py37_${MINICONDA_VERSION}-Linux-x86_64.sh && \
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echo "${MINICONDA_MD5} *Miniconda3-py37_${MINICONDA_VERSION}-Linux-x86_64.sh" | md5sum -c - && \
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/bin/bash Miniconda3-py37_${MINICONDA_VERSION}-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
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rm Miniconda3-py37_${MINICONDA_VERSION}-Linux-x86_64.sh && \
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echo "conda ${CONDA_VERSION}" >> $CONDA_DIR/conda-meta/pinned && \
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conda config --system --prepend channels conda-forge && \
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conda config --system --set auto_update_conda false && \
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conda config --system --set show_channel_urls true && \
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conda config --system --set channel_priority strict && \
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if [ ! $PYTHON_VERSION = 'default' ]; then conda install --yes python=$PYTHON_VERSION; fi && \
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conda list python | grep '^python ' | tr -s ' ' | cut -d '.' -f 1,2 | sed 's/$/.*/' >> $CONDA_DIR/conda-meta/pinned && \
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conda install --quiet --yes conda && \
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conda install --quiet --yes pip && \
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conda update --all --quiet --yes && \
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conda clean --all -f -y && \
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rm -rf /home/$NB_USER/.cache/yarn && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Install Tini
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RUN conda install --quiet --yes 'tini=0.18.0' && \
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conda list tini | grep tini | tr -s ' ' | cut -d ' ' -f 1,2 >> $CONDA_DIR/conda-meta/pinned && \
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conda clean --all -f -y && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Install Jupyter Notebook, Lab, and Hub
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# Generate a notebook server config
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# Cleanup temporary files
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# Correct permissions
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# Do all this in a single RUN command to avoid duplicating all of the
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# files across image layers when the permissions change
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RUN conda install --quiet --yes \
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'notebook=6.0.3' \
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'jupyterhub=1.1.0' \
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'jupyterlab=2.1.3' && \
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conda clean --all -f -y && \
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npm cache clean --force && \
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jupyter notebook --generate-config && \
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rm -rf $CONDA_DIR/share/jupyter/lab/staging && \
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rm -rf /home/$NB_USER/.cache/yarn && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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EXPOSE 8888
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# Configure container startup
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ENTRYPOINT ["tini", "-g", "--"]
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CMD ["start-notebook.sh"]
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# Copy local files as late as possible to avoid cache busting
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COPY start.sh start-notebook.sh start-singleuser.sh /usr/local/bin/
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COPY jupyter_notebook_config.py /etc/jupyter/
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# Fix permissions on /etc/jupyter as root
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USER root
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RUN fix-permissions /etc/jupyter/
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# Switch back to jovyan to avoid accidental container runs as root
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USER $NB_UID
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WORKDIR $HOME
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############################################################################
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################# Dependency: jupyter/minimal-notebook #####################
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############################################################################
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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USER root
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# Install all OS dependencies for fully functional notebook server
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RUN apt-get update && apt-get install -yq --no-install-recommends \
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build-essential \
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emacs-nox \
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vim-tiny \
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git \
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inkscape \
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jed \
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libsm6 \
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libxext-dev \
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libxrender1 \
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lmodern \
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netcat \
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python-dev \
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# ---- nbconvert dependencies ----
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texlive-xetex \
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texlive-fonts-recommended \
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texlive-plain-generic \
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# Optional dependency
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texlive-fonts-extra \
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# ----
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tzdata \
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unzip \
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nano \
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&& apt-get clean && rm -rf /var/lib/apt/lists/*
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# Switch back to jovyan to avoid accidental container runs as root
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USER $NB_UID
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############################################################################
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################# Dependency: jupyter/scipy-notebook #######################
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############################################################################
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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USER root
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# ffmpeg for matplotlib anim & dvipng for latex labels
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RUN apt-get update && \
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apt-get install -y --no-install-recommends ffmpeg dvipng && \
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rm -rf /var/lib/apt/lists/*
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USER $NB_UID
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# Install Python 3 packages
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RUN conda install --quiet --yes \
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'beautifulsoup4=4.9.*' \
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'conda-forge::blas=*=openblas' \
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'bokeh=2.0.*' \
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'bottleneck=1.3.*' \
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'cloudpickle=1.4.*' \
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'cython=0.29.*' \
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'dask=2.15.*' \
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'dill=0.3.*' \
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'h5py=2.10.*' \
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'hdf5=1.10.*' \
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'ipywidgets=7.5.*' \
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'ipympl=0.5.*'\
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'matplotlib-base=3.2.*' \
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# numba update to 0.49 fails resolving deps.
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'numba=0.48.*' \
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'numexpr=2.7.*' \
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'pandas=1.0.*' \
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'patsy=0.5.*' \
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'protobuf=3.11.*' \
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'pytables=3.6.*' \
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'scikit-image=0.16.*' \
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'scikit-learn=0.22.*' \
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'scipy=1.4.*' \
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'seaborn=0.10.*' \
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'sqlalchemy=1.3.*' \
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'statsmodels=0.11.*' \
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'sympy=1.5.*' \
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'vincent=0.4.*' \
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'widgetsnbextension=3.5.*'\
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'xlrd=1.2.*' \
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&& \
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conda clean --all -f -y && \
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# Activate ipywidgets extension in the environment that runs the notebook server
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jupyter nbextension enable --py widgetsnbextension --sys-prefix && \
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# Also activate ipywidgets extension for JupyterLab
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# Check this URL for most recent compatibilities
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# https://github.com/jupyter-widgets/ipywidgets/tree/master/packages/jupyterlab-manager
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jupyter labextension install @jupyter-widgets/jupyterlab-manager@^2.0.0 --no-build && \
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jupyter labextension install @bokeh/jupyter_bokeh@^2.0.0 --no-build && \
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jupyter labextension install jupyter-matplotlib@^0.7.2 --no-build && \
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jupyter lab build -y && \
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jupyter lab clean -y && \
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npm cache clean --force && \
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rm -rf "/home/${NB_USER}/.cache/yarn" && \
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rm -rf "/home/${NB_USER}/.node-gyp" && \
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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# Install facets which does not have a pip or conda package at the moment
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WORKDIR /tmp
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RUN git clone https://github.com/PAIR-code/facets.git && \
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jupyter nbextension install facets/facets-dist/ --sys-prefix && \
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rm -rf /tmp/facets && \
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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# Import matplotlib the first time to build the font cache.
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ENV XDG_CACHE_HOME="/home/${NB_USER}/.cache/"
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RUN MPLBACKEND=Agg python -c "import matplotlib.pyplot" && \
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fix-permissions "/home/${NB_USER}"
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USER $NB_UID
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WORKDIR $HOME
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############################################################################
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########################## Dependency: gpulibs #############################
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############################################################################
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# Install Tensorflow, check compatibility here: https://www.tensorflow.org/install/gpu
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# installation via conda leads to errors in version 4.8.2
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#RUN conda install --quiet --yes \
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# 'tensorflow-gpu=2.1*' \
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# 'keras-gpu' && \
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# fix-permissions $CONDA_DIR && \
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# fix-permissions /home/$NB_USER
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RUN pip install --upgrade pip && \
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pip install --no-cache-dir "tensorflow-gpu>=2.1.*" && \
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pip install --no-cache-dir keras
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# Install PyTorch with dependencies
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RUN conda install --quiet --yes \
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pyyaml mkl mkl-include setuptools cmake cffi typing
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# Check compatibility here: https://pytorch.org/get-started/locally/
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RUN conda install --quiet --yes \
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pytorch \
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torchvision \
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cudatoolkit=10.1 -c pytorch
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# pip install torch_nightly -f https://download.pytorch.org/whl/nightly/cu90/torch_nightly.html && \
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# Clean installation
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RUN conda clean --all -f -y && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Copy jupyter_notebook_config.json
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COPY jupyter_notebook_config.json /etc/jupyter/
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