Dockerfile.larcv1.0.0rc01-cuda100-pytorchdev20181215-scn

FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04
LABEL maintainer="drinkingkazu"
LABEL contact="contact@deeplearnphysics.org"
LABEL version="ub16.04-cuda100-pytorchdev20181215"

ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
ENV ROOTSYS=/usr/local/root
ENV PATH="${ROOTSYS}/bin:${PATH}"
ENV LD_LIBRARY_PATH="${ROOTSYS}/lib:${LD_LIBRARY_PATH}"
ENV PYTHONPATH="${ROOTSYS}/lib:${PYTHONPATH}"

RUN apt-get -y update
RUN apt-get -y install zsh dpkg-dev g++ gcc binutils libqt4-dev git wget emacs vim openssh-client && \
    apt-get -y install python-dev python-tk python-pip python-qt4 python-setuptools libsparsehash-dev python3-setuptools libhdf5-dev

# asciinema
RUN apt-get install -y locales && \
    locale-gen en_US.UTF-8 && \
    apt-get -y install software-properties-common python-software-properties && \
    apt-add-repository -y ppa:zanchey/asciinema && \
    apt-get -y update && \
    apt-get -y install asciinema

# ROOT
RUN wget https://root.cern.ch/download/root_v6.14.04.Linux-ubuntu16-x86_64-gcc5.4.tar.gz && \
    tar -xzf root_v6.14.04.Linux-ubuntu16-x86_64-gcc5.4.tar.gz && \
    rm root_v6.14.04.Linux-ubuntu16-x86_64-gcc5.4.tar.gz && \
    mv root /usr/local/root && \
    export ROOTSYS=/usr/local/root && \
    export PATH=${ROOTSYS}/bin:${PATH} && \
    export LD_LIBRARY_PATH=${ROOTSYS}/lib:${LD_LIBRARY_PATH} && \
    export PYTHONPATH=${ROOTSYS}/lib:${PYTHONPATH}

# pip basics
RUN pip --no-cache-dir --disable-pip-version-check install --upgrade pip==9.0.3 && \
    pip --no-cache-dir --disable-pip-version-check install --upgrade setuptools && \
    pip --no-cache-dir --disable-pip-version-check install 'matplotlib<3.0' && \
    pip --no-cache-dir --disable-pip-version-check install 'ipython<6.0'    && \
    pip --no-cache-dir --disable-pip-version-check install 'ipykernel<5.0'  && \
    pip --no-cache-dir --disable-pip-version-check install future numpy wheel zmq six pygments pyyaml cython gputil psutil humanize && \
    pip --no-cache-dir --disable-pip-version-check install h5py tqdm scipy seaborn tables root_numpy && \
    pip --no-cache-dir --disable-pip-version-check install pandas scikit-image scikit-learn Pillow opencv-python && \
    pip --no-cache-dir --disable-pip-version-check install jupyter notebook && \
    pip --no-cache-dir --disable-pip-version-check install plotly cufflinks && \
    pip --no-cache-dir --disable-pip-version-check install osfclient

# larcv build
ENV LARCV_BASEDIR=/app/larcv2
ENV LARCV_BUILDDIR="${LARCV_BASEDIR}/build"
ENV LARCV_COREDIR="${LARCV_BASEDIR}/larcv/core"
ENV LARCV_APPDIR="${LARCV_BASEDIR}/larcv/app"
ENV LARCV_LIBDIR="${LARCV_BUILDDIR}/lib"
ENV LARCV_INCDIR="${LARCV_BUILDDIR}/include"
ENV LARCV_BINDIR="${LARCV_BUILDDIR}/bin"
ENV LARCV_ROOT6=1
ENV LARCV_CXX=g++
ENV LARCV_NUMPY=1
ENV LARCV_INCLUDES="-I${LARCV_INCDIR} -I/usr/include/python2.7 -I/usr/include/x86_64-linux-gnu/python2.7"
ENV LARCV_LIBS="-L/usr/lib/ -L/usr/lib/python2.7/config-x86_64-linux-gnu -L/usr/lib"
ENV LARCV_LIBS="${LARCV_LIBS} -lpthread -ldl -lutil -lm -lpython2.7 -Xlinker -export-dynamic -Wl,-O1 -Wl,-Bsymbolic-functions"
ENV LARCV_LIBS="${LARCV_LIBS} -L${LARCV_LIBDIR} -llarcv"

# set bin and lib path
ENV PATH=${LARCV_BASEDIR}/bin:${LARCV_BINDIR}:${PATH}
ENV LD_LIBRARY_PATH=${LARCV_LIBDIR}:${LD_LIBRARY_PATH}:
ENV PYTHONPATH=${LARCV_BASEDIR}/python:${PYTHONPATH}

# larcv
RUN mkdir -p /app && \
    cd /app && \
    git clone https://github.com/DeepLearnPhysics/larcv2 && \
    cd larcv2 && \
    git checkout v1.0.0_rc01 && \
    mkdir -p $LARCV_BUILDDIR && \
    mkdir -p $LARCV_LIBDIR && \
    mkdir -p $LARCV_BINDIR && \
    make -j4

# pytorch
RUN  pip --no-cache-dir --disable-pip-version-check install torch_nightly==1.0.0.dev20181215 -f https://download.pytorch.org/whl/nightly/cu100/torch_nightly.html
RUN  ldconfig /usr/local/cuda/lib64/stubs
# scn
RUN  pip --no-cache-dir --disable-pip-version-check install --extra-index-url https://test.pypi.org/simple scn-cuda10==0.2.2018.1218