updated underlying modules, improved description

This commit is contained in:
Christoph Schranz 2020-06-22 18:14:45 +02:00
parent a4d5573698
commit 099e818be2
5 changed files with 160 additions and 12 deletions

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@ -1,3 +1,5 @@
# This adaptive Dockerfile is generated by 'generate-Dockerfile.sh' from parts within src/
# Use NVIDIA CUDA as base image and run the same installation as in the other packages.
# The version of cudatoolkit must match those of the base image, see Dockerfile.pytorch
FROM nvidia/cuda:10.1-base-ubuntu18.04
@ -275,6 +277,102 @@ RUN MPLBACKEND=Agg python -c "import matplotlib.pyplot" && \
USER $NB_UID
WORKDIR $HOME
############################################################################
################ Dependency: jupyter/datascience-notebook ##################
############################################################################
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
# Set when building on Travis so that certain long-running build steps can
# be skipped to shorten build time.
ARG TEST_ONLY_BUILD
# Fix DL4006
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
USER root
# R pre-requisites
RUN apt-get update && \
apt-get install -y --no-install-recommends \
fonts-dejavu \
gfortran \
gcc && \
rm -rf /var/lib/apt/lists/*
# Julia dependencies
# install Julia packages in /opt/julia instead of $HOME
ENV JULIA_DEPOT_PATH=/opt/julia
ENV JULIA_PKGDIR=/opt/julia
ENV JULIA_VERSION=1.4.1
WORKDIR /tmp
# hadolint ignore=SC2046
RUN mkdir "/opt/julia-${JULIA_VERSION}" && \
wget -q https://julialang-s3.julialang.org/bin/linux/x64/$(echo "${JULIA_VERSION}" | cut -d. -f 1,2)"/julia-${JULIA_VERSION}-linux-x86_64.tar.gz" && \
echo "fd6d8cadaed678174c3caefb92207a3b0e8da9f926af6703fb4d1e4e4f50610a *julia-${JULIA_VERSION}-linux-x86_64.tar.gz" | sha256sum -c - && \
tar xzf "julia-${JULIA_VERSION}-linux-x86_64.tar.gz" -C "/opt/julia-${JULIA_VERSION}" --strip-components=1 && \
rm "/tmp/julia-${JULIA_VERSION}-linux-x86_64.tar.gz"
RUN ln -fs /opt/julia-*/bin/julia /usr/local/bin/julia
# Show Julia where conda libraries are \
RUN mkdir /etc/julia && \
echo "push!(Libdl.DL_LOAD_PATH, \"$CONDA_DIR/lib\")" >> /etc/julia/juliarc.jl && \
# Create JULIA_PKGDIR \
mkdir "${JULIA_PKGDIR}" && \
chown "${NB_USER}" "${JULIA_PKGDIR}" && \
fix-permissions "${JULIA_PKGDIR}"
USER $NB_UID
# R packages including IRKernel which gets installed globally.
RUN conda install --quiet --yes \
'r-base=3.6.3' \
'r-caret=6.0*' \
'r-crayon=1.3*' \
'r-devtools=2.3*' \
'r-forecast=8.12*' \
'r-hexbin=1.28*' \
'r-htmltools=0.4*' \
'r-htmlwidgets=1.5*' \
'r-irkernel=1.1*' \
'r-nycflights13=1.0*' \
'r-plyr=1.8*' \
'r-randomforest=4.6*' \
'r-rcurl=1.98*' \
'r-reshape2=1.4*' \
'r-rmarkdown=2.1*' \
'r-rsqlite=2.2*' \
'r-shiny=1.4*' \
'r-tidyverse=1.3*' \
'rpy2=3.1*' \
&& \
conda clean --all -f -y && \
fix-permissions "${CONDA_DIR}" && \
fix-permissions "/home/${NB_USER}"
# Add Julia packages. Only add HDF5 if this is not a test-only build since
# it takes roughly half the entire build time of all of the images on Travis
# to add this one package and often causes Travis to timeout.
#
# Install IJulia as jovyan and then move the kernelspec out
# to the system share location. Avoids problems with runtime UID change not
# taking effect properly on the .local folder in the jovyan home dir.
RUN julia -e 'import Pkg; Pkg.update()' && \
(test $TEST_ONLY_BUILD || julia -e 'import Pkg; Pkg.add("HDF5")') && \
julia -e "using Pkg; pkg\"add IJulia\"; pkg\"precompile\"" && \
# move kernelspec out of home \
mv "${HOME}/.local/share/jupyter/kernels/julia"* "${CONDA_DIR}/share/jupyter/kernels/" && \
chmod -R go+rx "${CONDA_DIR}/share/jupyter" && \
rm -rf "${HOME}/.local" && \
fix-permissions "${JULIA_PKGDIR}" "${CONDA_DIR}/share/jupyter"
WORKDIR $HOME
############################################################################
@ -310,5 +408,54 @@ RUN conda clean --all -f -y && \
fix-permissions $CONDA_DIR && \
fix-permissions /home/$NB_USER
############################################################################
############################ Useful packages ###############################
############################################################################
LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
# Update conda
RUN conda update -n base conda -y
USER root
# Install elasticsearch libs
USER root
RUN apt-get update \
&& curl -sL https://repo1.maven.org/maven2/org/elasticsearch/elasticsearch-hadoop/6.8.1/elasticsearch-hadoop-6.8.1.jar
RUN pip install --no-cache-dir elasticsearch==7.1.0
RUN pip install --no-cache-dir ipyleaflet plotly==4.8.* "ipywidgets>=7.5"
# Install important packages and Graphviz
RUN set -ex \
&& buildDeps=' \
graphviz==0.11 \
' \
&& apt-get update \
&& apt-get -y install htop apt-utils graphviz libgraphviz-dev \
&& pip install --no-cache-dir $buildDeps
# Install various extensions
RUN fix-permissions $CONDA_DIR
RUN jupyter labextension install @jupyterlab/github
RUN jupyter labextension install jupyterlab-drawio
RUN jupyter labextension install jupyter-leaflet
RUN jupyter labextension install jupyterlab-plotly@4.8.1
RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager
RUN pip install --no-cache-dir jupyter-tabnine==1.0.2 && \
jupyter nbextension install --py jupyter_tabnine && \
jupyter nbextension enable --py jupyter_tabnine && \
jupyter serverextension enable --py jupyter_tabnine
RUN pip install --no-cache-dir jupyter_contrib_nbextensions \
jupyter_nbextensions_configurator rise && \
jupyter nbextension enable codefolding/main
RUN jupyter labextension install @ijmbarr/jupyterlab_spellchecker
RUN fix-permissions /home/$NB_USER
# Switch back to jovyan to avoid accidental container runs as root
USER $NB_UID
# Copy jupyter_notebook_config.json
COPY jupyter_notebook_config.json /etc/jupyter/

2
.gitignore vendored
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@ -109,6 +109,8 @@ venv.bak/
!/data/.gitkeep
*.save*
*.envsubst
*.tar
*.tar.gz
# Added config to hide hash of changed password
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
As soon as you have access to your GPU within Docker containers
(make sure the command `docker run --runtime nvidia nvidia/cuda:10.1-base-ubuntu18.04 nvidia-smi` shows your
GPU statistics), you can generate a Dockerfile and build it via docker-compose.
The two commands will start *GPU-Jupyter* on [localhost:1234](http://localhost:1234) with the default
The two commands will start *GPU-Jupyter* on [localhost:8848](http://localhost:8848) with the default
password `asdf`.
```bash
./generate-Dockerfile.sh
./start-local.sh -p 1234 # where -p stands for the port, default 8888
./start-local.sh -p 8848 # where -p stands for the port, default 8888
```
## Parameter
@ -228,7 +228,7 @@ Then re-generate and re-run the image, as closer described above:
```bash
./generate-Dockerfile.sh
./start-local.sh -p [port]:8888
./start-local.sh -p 8848
```
#### Update Docker-Stack

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@ -40,7 +40,9 @@ else
fi
# Write the contents into the DOCKERFILE and start with the header
cat src/Dockerfile.header > $DOCKERFILE
echo "# This adaptive Dockerfile is generated by 'generate-Dockerfile.sh' from parts within src/
" > $DOCKERFILE
cat src/Dockerfile.header >> $DOCKERFILE
echo "
############################################################################

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@ -11,9 +11,7 @@ RUN apt-get update \
&& curl -sL https://repo1.maven.org/maven2/org/elasticsearch/elasticsearch-hadoop/6.8.1/elasticsearch-hadoop-6.8.1.jar
RUN pip install --no-cache-dir elasticsearch==7.1.0
# Install rpy2 to share data between Python and R
RUN conda install rpy2=2.9.4 plotly=4.4.1
RUN conda install -c conda-forge ipyleaflet
RUN pip install --no-cache-dir ipyleaflet plotly==4.8.* "ipywidgets>=7.5"
# Install important packages and Graphviz
RUN set -ex \
@ -25,19 +23,18 @@ RUN set -ex \
&& pip install --no-cache-dir $buildDeps
# Install various extensions
RUN fix-permissions $CONDA_DIR
RUN jupyter labextension install @jupyterlab/github
RUN jupyter labextension install jupyterlab-drawio
RUN jupyter labextension install jupyter-leaflet
RUN jupyter labextension install @jupyterlab/plotly-extension
RUN jupyter labextension install jupyterlab-plotly@4.8.1
RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager
RUN pip install --no-cache-dir jupyter-tabnine==1.0.2 && \
jupyter nbextension install --py jupyter_tabnine && \
jupyter nbextension enable --py jupyter_tabnine && \
jupyter serverextension enable --py jupyter_tabnine
RUN fix-permissions $CONDA_DIR
RUN conda install -c conda-forge jupyter_contrib_nbextensions && \
conda install -c conda-forge jupyter_nbextensions_configurator && \
conda install -c conda-forge rise && \
RUN pip install --no-cache-dir jupyter_contrib_nbextensions \
jupyter_nbextensions_configurator rise && \
jupyter nbextension enable codefolding/main
RUN jupyter labextension install @ijmbarr/jupyterlab_spellchecker