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[CI] Require C++17 + CMake 3.18; Use CUDA 11.8 in CI (#8853)

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* Update to C++17

* Turn off unity build

* Update CMake to 3.18

* Use MSVC 2022 + CUDA 11.8

* Re-create stack for worker images

* Allocate more disk space for Windows

* Tempiorarily disable clang-tidy

* RAPIDS now requires Python 3.10+

* Unpin cuda-python

* Use latest NCCL

* Use Ubuntu 20.04 in RMM image

* Mark failing mgpu test as xfail
This commit is contained in:
Philip Hyunsu Cho
2023-03-01 09:22:24 -08:00
committed by GitHub
parent d54ef56f6f
commit 6d8afb2218
35 changed files with 214 additions and 176 deletions
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3
tests/ci_build/Dockerfile.gpu_build_centos7
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@@ -1,6 +1,7 @@
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-centos7
ARG CUDA_VERSION_ARG
ARG NCCL_VERSION_ARG
# Install all basic requirements
RUN \
@@ -21,7 +22,7 @@ RUN \
# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
RUN \
export CUDA_SHORT=`echo $CUDA_VERSION_ARG | grep -o -E '[0-9]+\.[0-9]'` && \
export NCCL_VERSION=2.13.4-1 && \
export NCCL_VERSION=$NCCL_VERSION_ARG && \
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 && \