David Galiffi
5e5a9cabc9
* Add texinfo to Ubuntu and RHEL docker files
* Add the `bison` package to Ubuntu dockerfile
* Update the CI docker files too.
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Signed-off-by: David Galiffi <David.Galiffi@amd.com>
[ROCm/rocprofiler-systems commit: d0d97490b4]
54 行
2.1 KiB
Docker
54 行
2.1 KiB
Docker
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ARG DISTRO
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ARG VERSION
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FROM ${DISTRO}:${VERSION}
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ENV HOME /root
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ENV LANG C.UTF-8
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ENV SHELL /bin/bash
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ENV BASH_ENV /etc/bash.bashrc
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ENV DEBIAN_FRONTEND noninteractive
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WORKDIR /tmp
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SHELL [ "/bin/bash", "-c" ]
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ARG EXTRA_PACKAGES=""
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ARG ELFUTILS_DOWNLOAD_VERSION="0.186"
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ARG BOOST_DOWNLOAD_VERSION="1.79.0"
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ARG NJOBS="12"
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ARG PYTHON_VERSIONS="6 7 8 9 10 11 12"
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ENV PATH /usr/local/bin:${PATH}
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ENV LIBRARY_PATH /usr/local/lib:/usr/local/lib64:${LIBRARY_PATH}
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ENV LD_LIBRARY_PATH /usr/local/lib:/usr/local/lib64:${LD_LIBRARY_PATH}
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ENV CMAKE_PREFIX_PATH /usr/local:${CMAKE_PREFIX_PATH}
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COPY ./dyninst-source /tmp/dyninst
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RUN apt-get update && \
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apt-get dist-upgrade -y && \
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apt-get install -y autoconf autotools-dev bash-completion bison build-essential bzip2 cmake curl environment-modules git-core gnupg2 gzip libiberty-dev libpapi-dev libpfm4-dev libtool locales lsb-release m4 python3-pip texinfo unzip wget zip zlib1g-dev && \
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python3 -m pip install 'cmake==3.18.4' && \
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apt-get autoclean && \
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locale -a && \
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cd /tmp/dyninst && \
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cmake -B build -DCMAKE_BUILD_TYPE=RelWithDebInfo -DBUILD_BOOST=ON -DBUILD_TBB=ON -DBUILD_ELFUTILS=ON -DBUILD_LIBIBERTY=ON -DELFUTILS_DOWNLOAD_VERSION=${ELFUTILS_DOWNLOAD_VERSION} -DBOOST_DOWNLOAD_VERSION=${BOOST_DOWNLOAD_VERSION} && \
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cmake --build build --target all --parallel ${NJOBS} && \
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cmake --build build --target install --parallel ${NJOBS} && \
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wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh && \
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bash miniconda.sh -b -p /opt/conda && \
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export PATH="/opt/conda/bin:${PATH}" && \
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conda config --set always_yes yes --set changeps1 no && \
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conda update -c defaults -n base conda && \
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for i in ${PYTHON_VERSIONS}; do conda create -n py3.${i} -c defaults -c conda-forge python=3.${i} pip numpy; done && \
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for i in ${PYTHON_VERSIONS}; do /opt/conda/envs/py3.${i}/bin/python -m pip install numpy perfetto dataclasses; done && \
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conda clean -a -y && \
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cd /tmp && \
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shopt -s dotglob extglob && \
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rm -rf *
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ENV LC_ALL C.UTF-8
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WORKDIR /home
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SHELL [ "/bin/bash", "--login", "-c" ]
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