xgboost/tests/ci_build/Dockerfile.gpu
Rory Mitchell f8b7686719
Add cuda 8/9.1 centos 6 builds, test GPU wheel on CPU only container. (#3309)
* Add cuda 8/9.1 centos 6 builds, test GPU wheel on CPU only container.

* Add Google test
2018-05-17 10:57:01 +12:00

45 lines
1.5 KiB
Docker

ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-devel-centos6
# Environment
ENV DEBIAN_FRONTEND noninteractive
# Install all basic requirements
RUN \
yum -y update && \
yum install -y wget unzip && \
wget http://people.centos.org/tru/devtools-2/devtools-2.repo -O /etc/yum.repos.d/devtools-2.repo && \
yum install -y devtoolset-2-gcc devtoolset-2-binutils devtoolset-2-gcc-c++ && \
# Python
wget https://repo.continuum.io/miniconda/Miniconda2-4.3.27-Linux-x86_64.sh && \
bash Miniconda2-4.3.27-Linux-x86_64.sh -b -p /opt/python && \
# CMake
wget http://www.cmake.org/files/v3.5/cmake-3.5.2.tar.gz && \
tar -xvzf cmake-3.5.2.tar.gz && \
cd cmake-3.5.2/ && ./configure && make && make install && cd ../ && \
rm -rf cmake-3.5.2/ && rm -rf cmake-3.5.2.tar.gz
ENV PATH=/opt/python/bin:$PATH
ENV CC=/opt/rh/devtoolset-2/root/usr/bin/gcc
ENV CXX=/opt/rh/devtoolset-2/root/usr/bin/c++
ENV CPP=/opt/rh/devtoolset-2/root/usr/bin/cpp
# Install Python packages
RUN \
pip install numpy nose scipy scikit-learn wheel
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"]