* [CI] Migrate to rockylinux8 / manylinux_2_28_x86_64 * Scrub all references to CentOS 7 * Fix * Remove use of yum * Use gcc-10 in cpu * Temporarily disable -Werror * Use GCC 9 for now * Roll back gRPC * Scrub all references to manylinux2014_x86_64 * Revise rename_whl.py to handle no-op rename * Change JDK_VERSION back to 8 * Reviewer's comment * Use GCC 10 * Use Spark 3.5.1, same as in pom.xml * Fix JAR install
55 lines
2.4 KiB
Docker
55 lines
2.4 KiB
Docker
ARG CUDA_VERSION_ARG
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FROM nvcr.io/nvidia/cuda:$CUDA_VERSION_ARG-devel-rockylinux8
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ARG CUDA_VERSION_ARG
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ARG NCCL_VERSION_ARG
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# Install all basic requirements
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RUN \
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curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/D42D0685.pub | sed '/^Version/d' \
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> /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \
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dnf -y update && \
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dnf -y install dnf-plugins-core && \
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dnf config-manager --set-enabled powertools && \
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dnf install -y tar unzip wget xz git which ninja-build java-1.8.0-openjdk-devel gcc-toolset-10-gcc gcc-toolset-10-binutils gcc-toolset-10-gcc-c++ && \
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# Python
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wget -nv -O conda.sh https://github.com/conda-forge/miniforge/releases/download/24.3.0-0/Miniforge3-24.3.0-0-Linux-x86_64.sh && \
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bash conda.sh -b -p /opt/miniforge && \
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# CMake
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wget -nv -nc https://cmake.org/files/v3.29/cmake-3.29.5-linux-x86_64.sh --no-check-certificate && \
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bash cmake-3.29.5-linux-x86_64.sh --skip-license --prefix=/usr && \
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# Maven
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wget -nv -nc https://archive.apache.org/dist/maven/maven-3/3.9.7/binaries/apache-maven-3.9.7-bin.tar.gz && \
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tar xvf apache-maven-3.9.7-bin.tar.gz -C /opt && \
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ln -s /opt/apache-maven-3.9.7/ /opt/maven
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# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
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RUN \
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export CUDA_SHORT=`echo $CUDA_VERSION_ARG | grep -o -E '[0-9]+\.[0-9]'` && \
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export NCCL_VERSION=$NCCL_VERSION_ARG && \
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dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo && \
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dnf -y update && \
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dnf install -y libnccl-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-devel-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-static-${NCCL_VERSION}+cuda${CUDA_SHORT}
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ENV PATH=/opt/miniforge/bin:/opt/maven/bin:$PATH
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ENV CC=/opt/rh/gcc-toolset-10/root/usr/bin/gcc
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ENV CXX=/opt/rh/gcc-toolset-10/root/usr/bin/c++
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ENV CPP=/opt/rh/gcc-toolset-10/root/usr/bin/cpp
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# Install Python packages
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RUN pip install numpy pytest scipy scikit-learn wheel kubernetes awscli
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ENV GOSU_VERSION 1.10
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# Install lightweight sudo (not bound to TTY)
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RUN set -ex; \
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wget -nv -nc -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
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chmod +x /usr/local/bin/gosu && \
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gosu nobody true
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# Default entry-point to use if running locally
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# It will preserve attributes of created files
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COPY entrypoint.sh /scripts/
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WORKDIR /workspace
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ENTRYPOINT ["/scripts/entrypoint.sh"]
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