Dockerfile.gpu_build_centos7

ARG CUDA_VERSION_ARG
FROM nvcr.io/nvidia/cuda:$CUDA_VERSION_ARG-devel-centos7
ARG CUDA_VERSION_ARG
ARG NCCL_VERSION_ARG
ARG RAPIDS_VERSION_ARG

# Install all basic requirements
RUN \
    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/D42D0685.pub | sed '/^Version/d' \
        > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \
    yum install -y epel-release centos-release-scl && \
    yum-config-manager --enable centos-sclo-rh-testing && \
    yum -y update && \
    yum install -y tar unzip wget xz git which ninja-build devtoolset-9-gcc devtoolset-9-binutils devtoolset-9-gcc-c++ && \
    # Python
    wget -nv -O conda.sh https://github.com/conda-forge/miniforge/releases/download/22.11.1-2/Mambaforge-22.11.1-2-Linux-x86_64.sh && \
    bash conda.sh -b -p /opt/mambaforge && \
    /opt/mambaforge/bin/python -m pip install awscli && \
    # CMake
    wget -nv -nc https://cmake.org/files/v3.26/cmake-3.26.4-linux-x86_64.sh --no-check-certificate && \
    bash cmake-3.26.4-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 $CUDA_VERSION_ARG | grep -o -E '[0-9]+\.[0-9]'` && \
    export NCCL_VERSION=$NCCL_VERSION_ARG && \
    wget -nv -nc 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-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-devel-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-static-${NCCL_VERSION}+cuda${CUDA_SHORT} && \
    rm -f nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm;

ENV PATH=/opt/mambaforge/bin:/usr/local/ninja:$PATH
ENV CC=/opt/rh/devtoolset-9/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-9/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-9/root/usr/bin/cpp
ENV CUDAHOSTCXX=/opt/rh/devtoolset-9/root/usr/bin/c++

ENV GOSU_VERSION 1.10

# Install RMM
RUN git clone -b v${RAPIDS_VERSION_ARG}.00 https://github.com/rapidsai/rmm.git --recurse-submodules --depth 1 && \
    pushd rmm && \
    mkdir build && \
    pushd build && \
    cmake .. -GNinja -DCMAKE_INSTALL_PREFIX=/opt/rmm -DCUDA_STATIC_RUNTIME=ON && \
    cmake --build . --target install && \
    popd && \
    popd && \
    rm -rf rmm

# Install gRPC
RUN git clone -b v1.49.1 https://github.com/grpc/grpc.git \
      --recurse-submodules --depth 1 && \
    pushd grpc && \
    cmake -S . -B build -GNinja -DCMAKE_INSTALL_PREFIX=/opt/grpc -DCMAKE_CXX_VISIBILITY_PRESET=hidden && \
    cmake --build build --target install && \
    popd && \
    rm -rf grpc

# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
    wget -nv -nc -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"]