ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-devel-centos6

# Environment
ENV DEBIAN_FRONTEND noninteractive

# Install all basic requirements
RUN \
    yum -y update && \
    yum install -y tar unzip wget xz git centos-release-scl yum-utils && \
    yum-config-manager --enable centos-sclo-rh-testing && \
    yum -y update && \
    yum install -y devtoolset-4-gcc devtoolset-4-binutils devtoolset-4-gcc-c++ && \
    # Python
    wget https://repo.continuum.io/miniconda/Miniconda3-4.5.12-Linux-x86_64.sh && \
    bash Miniconda3-4.5.12-Linux-x86_64.sh -b -p /opt/python && \
    # CMake
    wget -nv -nc https://cmake.org/files/v3.12/cmake-3.12.0-Linux-x86_64.sh --no-check-certificate && \
    bash cmake-3.12.0-Linux-x86_64.sh --skip-license --prefix=/usr

# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
RUN \
    export CUDA_SHORT=`echo $CUDA_VERSION | egrep -o '[0-9]+\.[0-9]'` && \
    if [ "${CUDA_SHORT}" != "10.0" ]; then \
    wget https://developer.download.nvidia.com/compute/redist/nccl/v2.2/nccl_2.2.13-1%2Bcuda${CUDA_SHORT}_x86_64.txz && \
    tar xf "nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64.txz" && \
    cp nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64/include/nccl.h /usr/include && \
    cp nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64/lib/* /usr/lib && \
    rm -f nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64.txz && \
    rm -r nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64; else \
    wget https://developer.download.nvidia.com/compute/machine-learning/repos/rhel7/x86_64/nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
    rpm -i nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
    yum -y update && \
    yum install -y libnccl-2.4.2-1+cuda10.0 libnccl-devel-2.4.2-1+cuda10.0 libnccl-static-2.4.2-1+cuda10.0 && \
    rm -f nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm; fi

ENV PATH=/opt/python/bin:$PATH
ENV CC=/opt/rh/devtoolset-4/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-4/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-4/root/usr/bin/cpp

# Install Python packages
RUN \
    pip install numpy pytest scipy scikit-learn wheel kubernetes urllib3==1.22

ENV GOSU_VERSION 1.10

# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
    wget -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
    chmod +x /usr/local/bin/gosu && \
    gosu nobody true

# Default entry-point to use if running locally
# It will preserve attributes of created files
COPY entrypoint.sh /scripts/

WORKDIR /workspace
ENTRYPOINT ["/scripts/entrypoint.sh"]