[CI] Upgrade build image to CentOS 7 + GCC 8; require CUDA 10.1 and later (#7141)

This commit is contained in:
Philip Hyunsu Cho
2021-07-29 10:54:33 -07:00
committed by GitHub
parent dfdf0b08fc
commit f1a4a1ac95
13 changed files with 156 additions and 274 deletions

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@@ -1,37 +0,0 @@
[base]
name=CentOS-$releasever - Base
baseurl=http://vault.centos.org/centos/$releasever/os/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
#released updates
[updates]
name=CentOS-$releasever - Updates
baseurl=http://vault.centos.org/centos/$releasever/updates/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
#additional packages that may be useful
[extras]
name=CentOS-$releasever - Extras
baseurl=http://vault.centos.org/centos/$releasever/extras/$basearch/
gpgcheck=1
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
#additional packages that extend functionality of existing packages
[centosplus]
name=CentOS-$releasever - Plus
mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=centosplus&infra=$infra
#baseurl=http://mirror.centos.org/centos/$releasever/centosplus/$basearch/
gpgcheck=1
enabled=0
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6
#contrib - packages by Centos Users
[contrib]
name=CentOS-$releasever - Contrib
mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=contrib&infra=$infra
#baseurl=http://mirror.centos.org/centos/$releasever/contrib/$basearch/
gpgcheck=1
enabled=0
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6

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@@ -1,4 +1,4 @@
FROM quay.io/pypa/manylinux2010_x86_64
FROM quay.io/pypa/manylinux2014_x86_64
# Install lightweight sudo (not bound to TTY)
ENV GOSU_VERSION 1.10

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@@ -7,7 +7,10 @@ SHELL ["/bin/bash", "-c"] # Use Bash as shell
# Install all basic requirements
RUN \
apt-get update && \
apt-get install -y tar unzip wget git build-essential doxygen graphviz llvm libasan2 libidn11 ninja-build && \
apt-get install -y software-properties-common && \
add-apt-repository ppa:ubuntu-toolchain-r/test && \
apt-get update && \
apt-get install -y tar unzip wget git build-essential doxygen graphviz llvm libasan2 libidn11 ninja-build gcc-8 g++-8 && \
# CMake
wget -nv -nc https://cmake.org/files/v3.14/cmake-3.14.0-Linux-x86_64.sh --no-check-certificate && \
bash cmake-3.14.0-Linux-x86_64.sh --skip-license --prefix=/usr && \
@@ -16,6 +19,9 @@ RUN \
bash Miniconda3.sh -b -p /opt/python
ENV PATH=/opt/python/bin:$PATH
ENV CC=gcc-8
ENV CXX=g++-8
ENV CPP=cpp-8
ENV GOSU_VERSION 1.10

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@@ -9,7 +9,10 @@ SHELL ["/bin/bash", "-c"] # Use Bash as shell
# Install all basic requirements
RUN \
apt-get update && \
apt-get install -y tar unzip wget bzip2 libgomp1 git build-essential doxygen graphviz llvm libasan2 libidn11 ninja-build && \
apt-get install -y software-properties-common && \
add-apt-repository ppa:ubuntu-toolchain-r/test && \
apt-get update && \
apt-get install -y tar unzip wget bzip2 libgomp1 git build-essential doxygen graphviz llvm libasan2 libidn11 ninja-build gcc-8 g++-8 && \
# CMake
wget -nv -nc https://cmake.org/files/v3.14/cmake-3.14.0-Linux-x86_64.sh --no-check-certificate && \
bash cmake-3.14.0-Linux-x86_64.sh --skip-license --prefix=/usr && \
@@ -25,6 +28,9 @@ RUN \
apt-get install -y --allow-downgrades --allow-change-held-packages libnccl2=${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-dev=${NCCL_VERSION}+cuda${CUDA_SHORT}
ENV PATH=/opt/python/bin:$PATH
ENV CC=gcc-8
ENV CXX=g++-8
ENV CPP=cpp-8
ENV GOSU_VERSION 1.10

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@@ -1,64 +0,0 @@
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-centos6
ARG CUDA_VERSION_ARG
# Environment
ENV DEBIAN_FRONTEND noninteractive
ENV DEVTOOLSET_URL_ROOT http://vault.centos.org/6.9/sclo/x86_64/rh/devtoolset-4/
COPY CentOS-Base.repo /etc/yum.repos.d/
# Install all basic requirements
RUN \
yum install -y epel-release && \
yum -y update && \
yum install -y tar unzip wget xz git patchelf && \
yum install -y $DEVTOOLSET_URL_ROOT/devtoolset-4-gcc-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-gcc-c++-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-binutils-2.25.1-8.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-runtime-4.1-3.sc1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-libstdc++-devel-5.3.1-6.1.el6.x86_64.rpm && \
# Python
wget -O Miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
bash Miniconda3.sh -b -p /opt/python && \
/opt/python/bin/python -m pip install auditwheel && \
# CMake
wget -nv -nc https://cmake.org/files/v3.14/cmake-3.14.0-Linux-x86_64.sh --no-check-certificate && \
bash cmake-3.14.0-Linux-x86_64.sh --skip-license --prefix=/usr && \
# Ninja
mkdir -p /usr/local && \
cd /usr/local/ && \
wget -nv -nc https://github.com/ninja-build/ninja/archive/v1.10.0.tar.gz --no-check-certificate && \
tar xf v1.10.0.tar.gz && mv ninja-1.10.0 ninja && rm -v v1.10.0.tar.gz && \
cd ninja && \
/opt/python/bin/python ./configure.py --bootstrap
# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
RUN \
export CUDA_SHORT=`echo $CUDA_VERSION_ARG | grep -o -E '[0-9]+\.[0-9]'` && \
export NCCL_VERSION=2.4.8-1 && \
wget https://developer.download.nvidia.com/compute/machine-learning/repos/rhel7/x86_64/nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
rpm -i nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
yum -y update && \
yum install -y libnccl-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-devel-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-static-${NCCL_VERSION}+cuda${CUDA_SHORT} && \
rm -f nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm;
ENV PATH=/opt/python/bin:/usr/local/ninja:$PATH
ENV CC=/opt/rh/devtoolset-4/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-4/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-4/root/usr/bin/cpp
ENV GOSU_VERSION 1.10
# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
wget -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
chmod +x /usr/local/bin/gosu && \
gosu nobody true
# Default entry-point to use if running locally
# It will preserve attributes of created files
COPY entrypoint.sh /scripts/
WORKDIR /workspace
ENTRYPOINT ["/scripts/entrypoint.sh"]

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@@ -0,0 +1,46 @@
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-centos7
ARG CUDA_VERSION_ARG
# Install all basic requirements
RUN \
yum install -y epel-release centos-release-scl && \
yum-config-manager --enable centos-sclo-rh-testing && \
yum -y update && \
yum install -y tar unzip wget xz git which ninja-build devtoolset-8-gcc devtoolset-8-binutils devtoolset-8-gcc-c++ && \
# Python
wget -nv -nc -O Miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
bash Miniconda3.sh -b -p /opt/python && \
# CMake
wget -nv -nc https://cmake.org/files/v3.14/cmake-3.14.0-Linux-x86_64.sh --no-check-certificate && \
bash cmake-3.14.0-Linux-x86_64.sh --skip-license --prefix=/usr
# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
RUN \
export CUDA_SHORT=`echo $CUDA_VERSION_ARG | grep -o -E '[0-9]+\.[0-9]'` && \
export NCCL_VERSION=2.4.8-1 && \
wget -nv -nc https://developer.download.nvidia.com/compute/machine-learning/repos/rhel7/x86_64/nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
rpm -i nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
yum -y update && \
yum install -y libnccl-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-devel-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-static-${NCCL_VERSION}+cuda${CUDA_SHORT} && \
rm -f nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm;
ENV PATH=/opt/python/bin:/usr/local/ninja:$PATH
ENV CC=/opt/rh/devtoolset-8/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-8/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-8/root/usr/bin/cpp
ENV GOSU_VERSION 1.10
# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
wget -nv -nc -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
chmod +x /usr/local/bin/gosu && \
gosu nobody true
# Default entry-point to use if running locally
# It will preserve attributes of created files
COPY entrypoint.sh /scripts/
WORKDIR /workspace
ENTRYPOINT ["/scripts/entrypoint.sh"]

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@@ -1,112 +0,0 @@
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-centos6
ARG CUDA_VERSION_ARG
# Environment
ENV DEBIAN_FRONTEND noninteractive
ENV DEVTOOLSET_URL_ROOT http://vault.centos.org/6.9/sclo/x86_64/rh/devtoolset-4/
COPY CentOS-Base.repo /etc/yum.repos.d/
# Install all basic requirements
RUN \
yum install -y epel-release && \
yum -y update && \
yum install -y tar unzip wget xz git patchelf readline-devel libX11-devel libXt-devel \
xorg-x11-server-devel openssl-devel texlive-* && \
yum install -y $DEVTOOLSET_URL_ROOT/devtoolset-4-gcc-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-gcc-gfortran-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-libquadmath-devel-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-gcc-c++-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-binutils-2.25.1-8.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-runtime-4.1-3.sc1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-libstdc++-devel-5.3.1-6.1.el6.x86_64.rpm
ENV PATH=/opt/python/bin:/usr/local/ninja:/opt/software/packages/bin:/opt/R/3.3.0/bin:$PATH
ENV LD_LIBRARY_PATH=/opt/software/packages/lib:/opt/R/3.3.0/lib64:$LD_LIBRARY_PATH
ENV CC=/opt/rh/devtoolset-4/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-4/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-4/root/usr/bin/cpp
ENV F77=/opt/rh/devtoolset-4/root/usr/bin/gfortran
# A few packages have to be built from the source because CentOS 6 is a very old distribution and
# the system packages are not sufficiently up-to-date to build R 3.3.0. We'll want to update to
# CentOS 7 after the 1.4.0 release. Tracking issue: dmlc/xgboost#6791.
#
# Why choose an old Linux distro? This is so that the resulting xgboost.so is compatible with a
# wide range of Linux OSes currently in operation. See https://www.python.org/dev/peps/pep-0571/
RUN \
wget https://zlib.net/fossils/zlib-1.2.5.tar.gz && \
wget https://sourceware.org/pub/bzip2/bzip2-1.0.6.tar.gz && \
wget http://tukaani.org/xz/xz-5.2.2.tar.gz && \
wget https://ftp.pcre.org/pub/pcre/pcre-8.40.tar.gz && \
wget https://www.openssl.org/source/old/1.0.0/openssl-1.0.0k.tar.gz && \
wget --no-check-certificate https://curl.se/download/curl-7.47.1.tar.gz && \
tar xf zlib-1.2.5.tar.gz && \
tar xf bzip2-1.0.6.tar.gz && \
tar xf xz-5.2.2.tar.gz && \
tar xf pcre-8.40.tar.gz && \
tar xf openssl-1.0.0k.tar.gz && \
tar xf curl-7.47.1.tar.gz && \
cd zlib-1.2.5 && \
./configure --prefix=/opt/software/packages && \
make -j$(nproc) && \
make install && \
cd ../bzip2-1.0.6 && \
sed -i 's/CFLAGS=-Wall/CFLAGS=-fPIC -Wall/g' Makefile && \
make -f Makefile-libbz2_so && \
make clean && \
make -j$(nproc) && \
make -n install PREFIX=/opt/software/packages && \
make install PREFIX=/opt/software/packages && \
cd ../xz-5.2.2 && \
./configure --prefix=/opt/software/packages && \
make -j$(nproc) && \
make install && \
cd ../pcre-8.40 && \
./configure --enable-utf8 --prefix=/opt/software/packages && \
make -j$(nproc) && \
make install && \
cd ../curl-7.47.1 && \
./configure --prefix=/opt/software/packages --with-ssl && \
make -j$(nproc) && \
make install && \
export CFLAGS="-I/opt/software/packages/include" && \
export LDFLAGS="-L/opt/software/packages/lib" && \
cd .. && \
# R 3.3.0
wget -nv -nc https://cran.r-project.org/src/base/R-3/R-3.3.0.tar.gz && \
tar xf R-3.3.0.tar.gz && \
cd R-3.3.0 && \
./configure --prefix=/opt/R/3.3.0 --enable-R-shlib && \
make -j$(nproc) && \
make install && \
# Python
wget -nv -nc -O Miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
bash Miniconda3.sh -b -p /opt/python && \
/opt/python/bin/python -m pip install auditwheel && \
# CMake
wget -nv -nc https://cmake.org/files/v3.14/cmake-3.14.0-Linux-x86_64.sh --no-check-certificate && \
bash cmake-3.14.0-Linux-x86_64.sh --skip-license --prefix=/usr && \
# Ninja
mkdir -p /usr/local && \
cd /usr/local/ && \
wget -nv -nc https://github.com/ninja-build/ninja/archive/v1.10.0.tar.gz --no-check-certificate && \
tar xf v1.10.0.tar.gz && mv ninja-1.10.0 ninja && rm -v v1.10.0.tar.gz && \
cd ninja && \
/opt/python/bin/python ./configure.py --bootstrap
ENV GOSU_VERSION 1.10
# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
wget -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
chmod +x /usr/local/bin/gosu && \
gosu nobody true
# Default entry-point to use if running locally
# It will preserve attributes of created files
COPY entrypoint.sh /scripts/
WORKDIR /workspace
ENTRYPOINT ["/scripts/entrypoint.sh"]

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@@ -0,0 +1,53 @@
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-centos7
ARG CUDA_VERSION_ARG
# Install all basic requirements
RUN \
yum install -y epel-release centos-release-scl && \
yum-config-manager --enable centos-sclo-rh-testing && \
yum -y update && \
yum install -y tar unzip wget xz git which ninja-build readline-devel libX11-devel libXt-devel \
xorg-x11-server-devel openssl-devel zlib-devel bzip2-devel xz-devel \
pcre-devel libcurl-devel texlive-* \
devtoolset-8-gcc devtoolset-8-binutils devtoolset-8-gcc-c++ \
devtoolset-8-gcc-gfortran devtoolset-8-libquadmath-devel \
devtoolset-8-runtime devtoolset-8-libstdc++-devel
ENV PATH=/opt/python/bin:/usr/local/ninja:/opt/software/packages/bin:/opt/R/3.3.0/bin:$PATH
ENV LD_LIBRARY_PATH=/opt/software/packages/lib:/opt/R/3.3.0/lib64:$LD_LIBRARY_PATH
ENV CC=/opt/rh/devtoolset-8/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-8/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-8/root/usr/bin/cpp
ENV F77=/opt/rh/devtoolset-8/root/usr/bin/gfortran
# R 3.3.0
RUN \
wget -nv -nc https://cran.r-project.org/src/base/R-3/R-3.3.0.tar.gz && \
tar xf R-3.3.0.tar.gz && \
cd R-3.3.0 && \
./configure --prefix=/opt/R/3.3.0 --enable-R-shlib && \
make -j$(nproc) && \
make install && \
# Python
wget -nv -nc -O Miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
bash Miniconda3.sh -b -p /opt/python && \
/opt/python/bin/python -m pip install auditwheel && \
# CMake
wget -nv -nc https://cmake.org/files/v3.14/cmake-3.14.0-Linux-x86_64.sh --no-check-certificate && \
bash cmake-3.14.0-Linux-x86_64.sh --skip-license --prefix=/usr
ENV GOSU_VERSION 1.10
# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
wget -nv -nc -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
chmod +x /usr/local/bin/gosu && \
gosu nobody true
# Default entry-point to use if running locally
# It will preserve attributes of created files
COPY entrypoint.sh /scripts/
WORKDIR /workspace
ENTRYPOINT ["/scripts/entrypoint.sh"]

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@@ -1,44 +1,38 @@
FROM centos:6
ENV DEVTOOLSET_URL_ROOT http://vault.centos.org/6.9/sclo/x86_64/rh/devtoolset-4/
COPY CentOS-Base.repo /etc/yum.repos.d/
FROM centos:7
# Install all basic requirements
RUN \
yum install -y epel-release && \
yum install -y epel-release centos-release-scl && \
yum-config-manager --enable centos-sclo-rh-testing && \
yum -y update && \
yum install -y tar unzip wget xz git java-1.8.0-openjdk-devel && \
yum install -y $DEVTOOLSET_URL_ROOT/devtoolset-4-gcc-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-gcc-c++-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-binutils-2.25.1-8.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-runtime-4.1-3.sc1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-libstdc++-devel-5.3.1-6.1.el6.x86_64.rpm && \
yum install -y tar unzip make bzip2 wget xz git which ninja-build java-1.8.0-openjdk-devel \
devtoolset-8-gcc devtoolset-8-binutils devtoolset-8-gcc-c++ \
devtoolset-8-runtime devtoolset-8-libstdc++-devel && \
# Python
wget -O Miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
wget -nv -nc -O Miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
bash Miniconda3.sh -b -p /opt/python && \
# CMake
wget -nv -nc https://cmake.org/files/v3.14/cmake-3.14.0-Linux-x86_64.sh --no-check-certificate && \
bash cmake-3.14.0-Linux-x86_64.sh --skip-license --prefix=/usr && \
# Maven
wget https://archive.apache.org/dist/maven/maven-3/3.6.1/binaries/apache-maven-3.6.1-bin.tar.gz && \
wget -nv -nc https://archive.apache.org/dist/maven/maven-3/3.6.1/binaries/apache-maven-3.6.1-bin.tar.gz && \
tar xvf apache-maven-3.6.1-bin.tar.gz -C /opt && \
ln -s /opt/apache-maven-3.6.1/ /opt/maven
ENV PATH=/opt/python/bin:/opt/maven/bin:$PATH
ENV CC=/opt/rh/devtoolset-4/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-4/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-4/root/usr/bin/cpp
ENV CC=/opt/rh/devtoolset-8/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-8/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-8/root/usr/bin/cpp
# Install Python packages
RUN \
pip install numpy pytest scipy scikit-learn wheel kubernetes urllib3==1.22 awscli
pip install numpy pytest scipy scikit-learn wheel kubernetes awscli
ENV GOSU_VERSION 1.10
# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
wget -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
wget -nv -nc -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
chmod +x /usr/local/bin/gosu && \
gosu nobody true

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@@ -1,31 +1,21 @@
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-centos6
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-centos7
ARG CUDA_VERSION_ARG
# Environment
ENV DEBIAN_FRONTEND noninteractive
ENV DEVTOOLSET_URL_ROOT http://vault.centos.org/6.9/sclo/x86_64/rh/devtoolset-4/
COPY CentOS-Base.repo /etc/yum.repos.d/
# Install all basic requirements
RUN \
yum install -y epel-release && \
yum install -y epel-release centos-release-scl && \
yum-config-manager --enable centos-sclo-rh-testing && \
yum -y update && \
yum install -y tar unzip wget xz git java-1.8.0-openjdk-devel && \
yum install -y $DEVTOOLSET_URL_ROOT/devtoolset-4-gcc-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-gcc-c++-5.3.1-6.1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-binutils-2.25.1-8.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-runtime-4.1-3.sc1.el6.x86_64.rpm \
$DEVTOOLSET_URL_ROOT/devtoolset-4-libstdc++-devel-5.3.1-6.1.el6.x86_64.rpm && \
yum install -y tar unzip wget xz git which ninja-build java-1.8.0-openjdk-devel devtoolset-8-gcc devtoolset-8-binutils devtoolset-8-gcc-c++ && \
# Python
wget -O Miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
wget -nv -nc -O Miniconda3.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
bash Miniconda3.sh -b -p /opt/python && \
# CMake
wget -nv -nc https://cmake.org/files/v3.14/cmake-3.14.0-Linux-x86_64.sh --no-check-certificate && \
bash cmake-3.14.0-Linux-x86_64.sh --skip-license --prefix=/usr && \
# Maven
wget https://archive.apache.org/dist/maven/maven-3/3.6.1/binaries/apache-maven-3.6.1-bin.tar.gz && \
wget -nv -nc https://archive.apache.org/dist/maven/maven-3/3.6.1/binaries/apache-maven-3.6.1-bin.tar.gz && \
tar xvf apache-maven-3.6.1-bin.tar.gz -C /opt && \
ln -s /opt/apache-maven-3.6.1/ /opt/maven
@@ -33,26 +23,26 @@ RUN \
RUN \
export CUDA_SHORT=`echo $CUDA_VERSION_ARG | grep -o -E '[0-9]+\.[0-9]'` && \
export NCCL_VERSION=2.4.8-1 && \
wget https://developer.download.nvidia.com/compute/machine-learning/repos/rhel7/x86_64/nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
wget -nv -nc https://developer.download.nvidia.com/compute/machine-learning/repos/rhel7/x86_64/nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
rpm -i nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm && \
yum -y update && \
yum install -y libnccl-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-devel-${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-static-${NCCL_VERSION}+cuda${CUDA_SHORT} && \
rm -f nvidia-machine-learning-repo-rhel7-1.0.0-1.x86_64.rpm;
ENV PATH=/opt/python/bin:/opt/maven/bin:$PATH
ENV CC=/opt/rh/devtoolset-4/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-4/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-4/root/usr/bin/cpp
ENV CC=/opt/rh/devtoolset-8/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-8/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-8/root/usr/bin/cpp
# Install Python packages
RUN \
pip install numpy pytest scipy scikit-learn wheel kubernetes urllib3==1.22 awscli
pip install numpy pytest scipy scikit-learn wheel kubernetes awscli
ENV GOSU_VERSION 1.10
# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
wget -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
wget -nv -nc -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
chmod +x /usr/local/bin/gosu && \
gosu nobody true