d95020108c
Summary: We previously emulated multi-staged builds using two dockerfiles, native support from Docker allows us to merge them into one, simplifying our scripts. For more details about multi-stage builds, see: https://docs.docker.com/develop/develop-images/multistage-build/ Reviewers: mehdi_amini, klimek, sammccall Reviewed By: sammccall Subscribers: llvm-commits, ioeric, cfe-commits Differential Revision: https://reviews.llvm.org/D44787 llvm-svn: 328503
32 lines
1.2 KiB
Docker
32 lines
1.2 KiB
Docker
#===- llvm/utils/docker/nvidia-cuda/build/Dockerfile ---------------------===//
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#
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# The LLVM Compiler Infrastructure
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#
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# This file is distributed under the University of Illinois Open Source
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# License. See LICENSE.TXT for details.
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#
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#===----------------------------------------------------------------------===//
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# Stage 1. Check out LLVM source code and run the build.
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FROM nvidia/cuda:8.0-devel as builder
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LABEL maintainer "LLVM Developers"
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# Install llvm build dependencies.
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RUN apt-get update && \
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apt-get install -y --no-install-recommends ca-certificates cmake python \
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subversion ninja-build && \
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rm -rf /var/lib/apt/lists/*
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ADD checksums /tmp/checksums
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ADD scripts /tmp/scripts
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# Arguments passed to build_install_clang.sh.
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ARG buildscript_args
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# Run the build. Results of the build will be available at /tmp/clang-install/.
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RUN /tmp/scripts/build_install_llvm.sh ${buildscript_args}
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# Stage 2. Produce a minimal release image with build results.
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FROM nvidia/cuda:8.0-devel
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LABEL maintainer "LLVM Developers"
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# Copy clang installation into this container.
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COPY --from=builder /tmp/clang-install/ /usr/local/
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# C++ standard library and binutils are already included in the base package.
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