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[CI] Fix failing arm build (#8751)

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* Always install Conda env into /opt/python; use Mamba

* Change ownership of Conda env to buildkite-agent user

* Use unique name

* Fix
This commit is contained in:
Philip Hyunsu Cho
2023-02-03 22:32:48 -08:00
committed by GitHub
parent 0e61ba57d6
commit dd79ab846f
11 changed files with 46 additions and 36 deletions
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8
tests/ci_build/Dockerfile.gpu_build_centos7
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@@ -11,9 +11,9 @@ RUN \
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 && \
/opt/python/bin/python -m pip install awscli && \
wget -nv -O conda.sh https://github.com/conda-forge/miniforge/releases/download/22.11.1-2/Mambaforge-22.11.1-2-Linux-x86_64.sh && \
bash conda.sh -b -p /opt/mambaforge && \
/opt/mambaforge/bin/python -m pip install awscli && \
# CMake
wget -nv -nc https://cmake.org/files/v3.18/cmake-3.18.0-Linux-x86_64.sh --no-check-certificate && \
bash cmake-3.18.0-Linux-x86_64.sh --skip-license --prefix=/usr
@@ -28,7 +28,7 @@ RUN \
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:$PATH
ENV PATH=/opt/mambaforge/bin:/usr/local/ninja:$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