84 lines
3.9 KiB
Docker
84 lines
3.9 KiB
Docker
# To push a new version, run:
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# $ docker build -f Dockerfile.rbe.cuda10.0-cudnn7-ubuntu14.04 \
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# --tag "gcr.io/tensorflow-testing/nosla-cuda10.0-cudnn7-ubuntu14.04" .
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# $ docker push gcr.io/tensorflow-testing/nosla-cuda10.0-cudnn7-ubuntu14.04
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FROM gcr.io/clang-docker-builder/clang-ubuntu14_04
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LABEL maintainer="Manuel Klimek <klimek@google.com>"
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RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates apt-transport-https gnupg-curl && \
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rm -rf /var/lib/apt/lists/* && \
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NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \
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NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && \
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apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +2 > cudasign.pub && \
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echo "$NVIDIA_GPGKEY_SUM cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \
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echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
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echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list
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ENV CUDA_VERSION 10.0.130
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ENV CUDA_PKG_VERSION 10-0=$CUDA_VERSION-1
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ENV CUDNN_VERSION 7.3.1.20
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ENV TENSORRT_VERSION 5.0.2
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ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
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ENV NVIDIA_REQUIRE_CUDA "cuda>=10.0,driver>=410"
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ENV NVIDIA_VISIBLE_DEVICES all
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ENV PATH /usr/local/cuda/bin:${PATH}
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# TODO(b/110903506): /usr/loca/cuda/lib64/stubs should not be needed in
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# LD_LIBRARY_PATH. The stubs/libcuda.so is not meant to used at runtime. The
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# correct way to pass the path to bfd-ld is to pass
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# -Wl,-rpath-link=/usr/local/cuda/lib64/stubs to all binaries transitively
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# depending on libcuda. Optimally, builds targeting cuda would do that
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# internally.
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ENV LD_LIBRARY_PATH /usr/local/cuda/lib64/stubs
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LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
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RUN apt-get update && apt-get install -y --no-install-recommends \
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cuda-command-line-tools-$CUDA_PKG_VERSION \
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cuda-compat-10-0=410.48-1 \
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cuda-cudart-$CUDA_PKG_VERSION \
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cuda-libraries-$CUDA_PKG_VERSION \
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cuda-libraries-dev-$CUDA_PKG_VERSION \
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cuda-minimal-build-$CUDA_PKG_VERSION \
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cuda-nvml-dev-$CUDA_PKG_VERSION \
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cuda-nvtx-$CUDA_PKG_VERSION \
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libcudnn7=$CUDNN_VERSION-1+cuda10.0 \
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libcudnn7=$CUDNN_VERSION-1+cuda10.0 \
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libcudnn7-dev=$CUDNN_VERSION-1+cuda10.0 \
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nvinfer-runtime-trt-repo-ubuntu1604-$TENSORRT_VERSION-ga-cuda10.0 && \
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apt-get update && apt-get install -y --no-install-recommends \
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libnvinfer5=$TENSORRT_VERSION-1+cuda10.0 \
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libnvinfer-dev=$TENSORRT_VERSION-1+cuda10.0 && \
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ln -s cuda-10.0 /usr/local/cuda && \
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apt-mark hold libcudnn7 && \
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rm -rf /var/lib/apt/lists/*
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# TODO(b/110903506): Provide a link to the SONAME of libcuda.so.
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# https://github.com/NVIDIA/nvidia-docker/issues/775
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RUN ln -s libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
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# Install a newer version of g++:
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# - we need a new libstdc++, because new clang versions do not work with a stock
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# ubuntu 14.04 libstdc++.
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# - we want to compile with g++-7 to get ahead of LLVM dropping support for
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# gcc 4.8.
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RUN apt-get update && \
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apt-get install -y software-properties-common && \
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add-apt-repository ppa:ubuntu-toolchain-r/test -y && \
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apt-get update && \
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apt-get install -y --no-install-recommends g++-7 && \
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rm -rf /var/lib/apt/lists/*
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# Copy and run the install scripts.
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COPY install/*.sh /install/
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ARG DEBIAN_FRONTEND=noninteractive
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RUN /install/install_bootstrap_deb_packages.sh
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RUN add-apt-repository -y ppa:openjdk-r/ppa && \
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add-apt-repository -y ppa:george-edison55/cmake-3.x
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RUN /install/install_deb_packages.sh
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RUN /install/install_pip_packages.sh
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RUN /install/install_golang.sh
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