updated underlying modules, improved description
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@ -1,3 +1,5 @@
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# 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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@ -275,6 +277,102 @@ RUN MPLBACKEND=Agg python -c "import matplotlib.pyplot" && \
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USER $NB_UID
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WORKDIR $HOME
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############################################################################
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################ Dependency: jupyter/datascience-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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# Set when building on Travis so that certain long-running build steps can
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# be skipped to shorten build time.
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ARG TEST_ONLY_BUILD
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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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# R pre-requisites
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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fonts-dejavu \
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gfortran \
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gcc && \
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rm -rf /var/lib/apt/lists/*
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# Julia dependencies
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# install Julia packages in /opt/julia instead of $HOME
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ENV JULIA_DEPOT_PATH=/opt/julia
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ENV JULIA_PKGDIR=/opt/julia
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ENV JULIA_VERSION=1.4.1
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WORKDIR /tmp
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# hadolint ignore=SC2046
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RUN mkdir "/opt/julia-${JULIA_VERSION}" && \
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wget -q https://julialang-s3.julialang.org/bin/linux/x64/$(echo "${JULIA_VERSION}" | cut -d. -f 1,2)"/julia-${JULIA_VERSION}-linux-x86_64.tar.gz" && \
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echo "fd6d8cadaed678174c3caefb92207a3b0e8da9f926af6703fb4d1e4e4f50610a *julia-${JULIA_VERSION}-linux-x86_64.tar.gz" | sha256sum -c - && \
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tar xzf "julia-${JULIA_VERSION}-linux-x86_64.tar.gz" -C "/opt/julia-${JULIA_VERSION}" --strip-components=1 && \
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rm "/tmp/julia-${JULIA_VERSION}-linux-x86_64.tar.gz"
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RUN ln -fs /opt/julia-*/bin/julia /usr/local/bin/julia
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# Show Julia where conda libraries are \
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RUN mkdir /etc/julia && \
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echo "push!(Libdl.DL_LOAD_PATH, \"$CONDA_DIR/lib\")" >> /etc/julia/juliarc.jl && \
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# Create JULIA_PKGDIR \
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mkdir "${JULIA_PKGDIR}" && \
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chown "${NB_USER}" "${JULIA_PKGDIR}" && \
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fix-permissions "${JULIA_PKGDIR}"
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USER $NB_UID
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# R packages including IRKernel which gets installed globally.
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RUN conda install --quiet --yes \
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'r-base=3.6.3' \
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'r-caret=6.0*' \
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'r-crayon=1.3*' \
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'r-devtools=2.3*' \
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'r-forecast=8.12*' \
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'r-hexbin=1.28*' \
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'r-htmltools=0.4*' \
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'r-htmlwidgets=1.5*' \
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'r-irkernel=1.1*' \
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'r-nycflights13=1.0*' \
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'r-plyr=1.8*' \
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'r-randomforest=4.6*' \
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'r-rcurl=1.98*' \
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'r-reshape2=1.4*' \
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'r-rmarkdown=2.1*' \
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'r-rsqlite=2.2*' \
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'r-shiny=1.4*' \
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'r-tidyverse=1.3*' \
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'rpy2=3.1*' \
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&& \
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conda clean --all -f -y && \
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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# Add Julia packages. Only add HDF5 if this is not a test-only build since
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# it takes roughly half the entire build time of all of the images on Travis
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# to add this one package and often causes Travis to timeout.
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#
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# Install IJulia as jovyan and then move the kernelspec out
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# to the system share location. Avoids problems with runtime UID change not
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# taking effect properly on the .local folder in the jovyan home dir.
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RUN julia -e 'import Pkg; Pkg.update()' && \
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(test $TEST_ONLY_BUILD || julia -e 'import Pkg; Pkg.add("HDF5")') && \
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julia -e "using Pkg; pkg\"add IJulia\"; pkg\"precompile\"" && \
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# move kernelspec out of home \
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mv "${HOME}/.local/share/jupyter/kernels/julia"* "${CONDA_DIR}/share/jupyter/kernels/" && \
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chmod -R go+rx "${CONDA_DIR}/share/jupyter" && \
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rm -rf "${HOME}/.local" && \
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fix-permissions "${JULIA_PKGDIR}" "${CONDA_DIR}/share/jupyter"
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WORKDIR $HOME
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############################################################################
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@ -310,5 +408,54 @@ 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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############################################################################
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############################ Useful packages ###############################
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############################################################################
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# Update conda
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RUN conda update -n base conda -y
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USER root
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# Install elasticsearch libs
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USER root
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RUN apt-get update \
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&& curl -sL https://repo1.maven.org/maven2/org/elasticsearch/elasticsearch-hadoop/6.8.1/elasticsearch-hadoop-6.8.1.jar
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RUN pip install --no-cache-dir elasticsearch==7.1.0
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RUN pip install --no-cache-dir ipyleaflet plotly==4.8.* "ipywidgets>=7.5"
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# Install important packages and Graphviz
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RUN set -ex \
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&& buildDeps=' \
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graphviz==0.11 \
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' \
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&& apt-get update \
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&& apt-get -y install htop apt-utils graphviz libgraphviz-dev \
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&& pip install --no-cache-dir $buildDeps
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# Install various extensions
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RUN fix-permissions $CONDA_DIR
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RUN jupyter labextension install @jupyterlab/github
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RUN jupyter labextension install jupyterlab-drawio
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RUN jupyter labextension install jupyter-leaflet
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RUN jupyter labextension install jupyterlab-plotly@4.8.1
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RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager
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RUN pip install --no-cache-dir jupyter-tabnine==1.0.2 && \
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jupyter nbextension install --py jupyter_tabnine && \
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jupyter nbextension enable --py jupyter_tabnine && \
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jupyter serverextension enable --py jupyter_tabnine
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RUN pip install --no-cache-dir jupyter_contrib_nbextensions \
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jupyter_nbextensions_configurator rise && \
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jupyter nbextension enable codefolding/main
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RUN jupyter labextension install @ijmbarr/jupyterlab_spellchecker
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RUN fix-permissions /home/$NB_USER
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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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# Copy jupyter_notebook_config.json
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COPY jupyter_notebook_config.json /etc/jupyter/
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2
.gitignore
vendored
2
.gitignore
vendored
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!/data/.gitkeep
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*.save*
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*.envsubst
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*.tar
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*.tar.gz
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# Added config to hide hash of changed password
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src/jupyter_notebook_config.json
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@ -63,12 +63,12 @@ First of all, it is necessary to generate the `Dockerfile` based on the
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As soon as you have access to your GPU within Docker containers
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(make sure the command `docker run --runtime nvidia nvidia/cuda:10.1-base-ubuntu18.04 nvidia-smi` shows your
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GPU statistics), you can generate a Dockerfile and build it via docker-compose.
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The two commands will start *GPU-Jupyter* on [localhost:1234](http://localhost:1234) with the default
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The two commands will start *GPU-Jupyter* on [localhost:8848](http://localhost:8848) with the default
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password `asdf`.
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```bash
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./generate-Dockerfile.sh
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./start-local.sh -p 1234 # where -p stands for the port, default 8888
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./start-local.sh -p 8848 # where -p stands for the port, default 8888
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```
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## Parameter
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@ -228,7 +228,7 @@ Then re-generate and re-run the image, as closer described above:
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```bash
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./generate-Dockerfile.sh
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./start-local.sh -p [port]:8888
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./start-local.sh -p 8848
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```
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#### Update Docker-Stack
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fi
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# Write the contents into the DOCKERFILE and start with the header
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cat src/Dockerfile.header > $DOCKERFILE
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echo "# This adaptive Dockerfile is generated by 'generate-Dockerfile.sh' from parts within src/
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" > $DOCKERFILE
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cat src/Dockerfile.header >> $DOCKERFILE
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echo "
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############################################################################
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&& curl -sL https://repo1.maven.org/maven2/org/elasticsearch/elasticsearch-hadoop/6.8.1/elasticsearch-hadoop-6.8.1.jar
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RUN pip install --no-cache-dir elasticsearch==7.1.0
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# Install rpy2 to share data between Python and R
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RUN conda install rpy2=2.9.4 plotly=4.4.1
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RUN conda install -c conda-forge ipyleaflet
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RUN pip install --no-cache-dir ipyleaflet plotly==4.8.* "ipywidgets>=7.5"
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# Install important packages and Graphviz
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RUN set -ex \
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@ -25,19 +23,18 @@ RUN set -ex \
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&& pip install --no-cache-dir $buildDeps
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# Install various extensions
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RUN fix-permissions $CONDA_DIR
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RUN jupyter labextension install @jupyterlab/github
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RUN jupyter labextension install jupyterlab-drawio
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RUN jupyter labextension install jupyter-leaflet
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RUN jupyter labextension install @jupyterlab/plotly-extension
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RUN jupyter labextension install jupyterlab-plotly@4.8.1
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RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager
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RUN pip install --no-cache-dir jupyter-tabnine==1.0.2 && \
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jupyter nbextension install --py jupyter_tabnine && \
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jupyter nbextension enable --py jupyter_tabnine && \
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jupyter serverextension enable --py jupyter_tabnine
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RUN fix-permissions $CONDA_DIR
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RUN conda install -c conda-forge jupyter_contrib_nbextensions && \
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conda install -c conda-forge jupyter_nbextensions_configurator && \
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conda install -c conda-forge rise && \
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RUN pip install --no-cache-dir jupyter_contrib_nbextensions \
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jupyter_nbextensions_configurator rise && \
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jupyter nbextension enable codefolding/main
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RUN jupyter labextension install @ijmbarr/jupyterlab_spellchecker
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