34 lines
1.3 KiB
Docker
34 lines
1.3 KiB
Docker
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#===- llvm/utils/docker/nvidia-cuda/build/Dockerfile ---------------------===//
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#
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# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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# See https://llvm.org/LICENSE.txt for license information.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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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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# Checkout the source code.
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ARG checkout_args
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RUN /tmp/scripts/checkout.sh ${checkout_args}
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# Run the build. Results of the build will be available at /tmp/clang-install/.
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ARG buildscript_args
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RUN /tmp/scripts/build_install_llvm.sh --to /tmp/clang-install ${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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