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35 lines
1.7 KiB
Text
35 lines
1.7 KiB
Text
FROM nvcr.io/nvidia/cuda:11.0-cudnn8-devel-centos7
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#We need both CUDA and manylinux. But the CUDA Toolkit End User License Agreement says NVIDIA CUDA Driver Libraries(libcuda.so, libnvidia-ptxjitcompiler.so) are only distributable in applications that meet this criteria:
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#1. The application was developed starting from a NVIDIA CUDA container obtained from Docker Hub or the NVIDIA GPU Cloud, and
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#2. The resulting application is packaged as a Docker container and distributed to users on Docker Hub or the NVIDIA GPU Cloud only.
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#So we use CUDA as the base image then add manylinux on top of it.
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#Build manylinux2014 docker image begin
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ENV AUDITWHEEL_ARCH x86_64
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ENV AUDITWHEEL_PLAT manylinux2014_$AUDITWHEEL_ARCH
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ENV LC_ALL en_US.UTF-8
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ENV LANG en_US.UTF-8
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ENV LANGUAGE en_US.UTF-8
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ENV DEVTOOLSET_ROOTPATH /opt/rh/devtoolset-9/root
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ENV PATH $DEVTOOLSET_ROOTPATH/usr/bin:$PATH
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ENV LD_LIBRARY_PATH $DEVTOOLSET_ROOTPATH/usr/lib64:$DEVTOOLSET_ROOTPATH/usr/lib:$DEVTOOLSET_ROOTPATH/usr/lib64/dyninst:$DEVTOOLSET_ROOTPATH/usr/lib/dyninst:/usr/local/lib64:/usr/local/lib
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ENV PKG_CONFIG_PATH /usr/local/lib/pkgconfig
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COPY manylinux2014_build_scripts /manylinux2014_build_scripts
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RUN bash /manylinux2014_build_scripts/build.sh 9 && rm -r manylinux2014_build_scripts
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ENV SSL_CERT_FILE=/opt/_internal/certs.pem
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#Build manylinux2014 docker image end
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#Add our own dependencies
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ADD scripts /tmp/scripts
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RUN cd /tmp/scripts && /tmp/scripts/manylinux/install_centos.sh && /tmp/scripts/manylinux/install_deps.sh && rm -rf /tmp/scripts
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ARG BUILD_UID=1001
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ARG BUILD_USER=onnxruntimedev
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RUN adduser --uid $BUILD_UID $BUILD_USER
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WORKDIR /home/$BUILD_USER
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USER $BUILD_USER
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ENV PATH /usr/local/gradle/bin:/usr/local/dotnet:$PATH
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