40 lines
1.5 KiB
Docker
40 lines
1.5 KiB
Docker
FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04
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LABEL maintainer="Jan Prach <jendap@google.com>"
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# In the Ubuntu 16.04 images, cudnn is placed in system paths. Move them to
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# /usr/local/cuda
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RUN cp -P /usr/include/cudnn.h /usr/local/cuda/include
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RUN cp -P /usr/lib/x86_64-linux-gnu/libcudnn* /usr/local/cuda/lib64
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# Installs TensorRT, which is not included in NVIDIA Docker containers.
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RUN apt-get update \
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&& apt-get install nvinfer-runtime-trt-repo-ubuntu1604-5.0.2-ga-cuda10.0 \
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&& apt-get update \
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&& apt-get install -y --no-install-recommends libnvinfer5=5.0.2-1+cuda10.0 libnvinfer-dev=5.0.2-1+cuda10.0
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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_bazel.sh
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RUN /install/install_golang.sh
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# Set up the master bazelrc configuration file.
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COPY install/.bazelrc /etc/bazel.bazelrc
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ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
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# Link NCCL libray and header where the build script expects them.
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RUN mkdir /usr/local/cuda/lib && \
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ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/local/cuda/lib/libnccl.so.2 && \
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ln -s /usr/include/nccl.h /usr/local/cuda/include/nccl.h
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# Configure the build for our CUDA configuration.
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ENV TF_NEED_CUDA 1
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ENV TF_NEED_TENSORRT 1
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