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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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7
tests/ci_build/Dockerfile.rmm
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@@ -1,7 +1,8 @@
ARG CUDA_VERSION_ARG
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-ubuntu18.04
FROM nvidia/cuda:$CUDA_VERSION_ARG-devel-ubuntu20.04
ARG CUDA_VERSION_ARG
ARG RAPIDS_VERSION_ARG
ARG NCCL_VERSION_ARG
# Environment
ENV DEBIAN_FRONTEND noninteractive
@@ -19,7 +20,7 @@ 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 && \
apt-get update && \
apt-get install -y --allow-downgrades --allow-change-held-packages libnccl2=${NCCL_VERSION}+cuda${CUDA_SHORT} libnccl-dev=${NCCL_VERSION}+cuda${CUDA_SHORT}
@@ -29,7 +30,7 @@ ENV PATH=/opt/mambaforge/bin:$PATH
RUN \
conda install -c conda-forge mamba && \
mamba create -n gpu_test -c rapidsai-nightly -c rapidsai -c nvidia -c conda-forge -c defaults \
python=3.9 rmm=$RAPIDS_VERSION_ARG* cudatoolkit=$CUDA_VERSION_ARG cmake && \
python=3.10 rmm=$RAPIDS_VERSION_ARG* cudatoolkit=$CUDA_VERSION_ARG cmake && \
mamba clean --all
ENV GOSU_VERSION 1.10