Files
rocm-systems/docker/Dockerfile.ubuntu
T
David Galiffi 7633d86c62 Update cmake version installed in dockerfiles (#25)
* Update cmake version installed in dockerfiles
* Standardize the cmake_minimum_required to 3.18.4 across dockerfiles
* Fix link to perl repo in opensuse docker.

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Signed-off-by: David Galiffi <David.Galiffi@amd.com>
2024-11-18 14:18:21 -05:00

54 строки
1.9 KiB
Docker

ARG DISTRO
ARG VERSION
FROM ${DISTRO}:${VERSION}
ENV HOME /root
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US
ENV LC_ALL C
ENV SHELL /bin/bash
ENV BASH_ENV /etc/bash.bashrc
ENV DEBIAN_FRONTEND noninteractive
WORKDIR /tmp
SHELL [ "/bin/bash", "-c" ]
ARG EXTRA_PACKAGES=""
ARG ROCM_REPO_VERSION="debian"
ARG ROCM_VERSION="0.0"
ARG ROCM_REPO_DIST="ubuntu"
ARG PYTHON_VERSIONS="6 7 8 9 10 11 12"
ARG AMDGPU_DEB=6.0/ubuntu/focal/amdgpu-install_6.0.60000-1_all.deb
ENV PATH ${HOME}/.local/bin:${PATH}
RUN apt-get update && \
apt-get dist-upgrade -y && \
apt-get install -y apt-utils autoconf autotools-dev bash-completion bison \
build-essential cmake curl git-core gnupg2 libnuma1 libopenmpi-dev \
libpapi-dev libpfm4-dev librpm-dev libtool libudev1 lsb-release m4 \
python3-pip rpm texinfo wget && \
python3 -m pip install 'cmake==3.18.4'
RUN if [ "${ROCM_VERSION}" != "0.0" ]; then \
wget https://repo.radeon.com/amdgpu-install/${ROCM_VERSION}/ubuntu/${ROCM_REPO_DIST}/${AMDGPU_DEB} && \
apt-get install -y ./${AMDGPU_DEB} && \
apt-get update && \
apt-get install -y rocm-dev rocm-smi-lib roctracer-dev rocprofiler-dev rccl-dev libpciaccess0 ${EXTRA_PACKAGES} && \
apt-get autoclean; \
fi
RUN wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh && \
bash miniconda.sh -b -p /opt/conda && \
export PATH="/opt/conda/bin:${PATH}" && \
conda config --set always_yes yes --set changeps1 no && \
conda update -c defaults -n base conda && \
for i in ${PYTHON_VERSIONS}; do conda create -n py3.${i} -c defaults -c conda-forge python=3.${i} pip; done && \
for i in ${PYTHON_VERSIONS}; do /opt/conda/envs/py3.${i}/bin/python -m pip install numpy perfetto dataclasses; done && \
conda clean -a -y && \
conda init
ENV LC_ALL C.UTF-8
WORKDIR /home
SHELL [ "/bin/bash", "--login", "-c" ]