TensorRT-LLMs/docker/common/install_cuda_toolkit.sh
Zhanrui Sun 4de31bece2
[TRTLLM-8994][infra] upgrade to DLFW 25.10 and pytorch 2.9.0 / triton 3.5.0 (#8838)
Signed-off-by: ZhanruiSunCh <184402041+ZhanruiSunCh@users.noreply.github.com>
Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>
2025-11-04 18:59:34 +08:00

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#!/bin/bash
set -ex
# This script is used for reinstalling CUDA on Rocky Linux 8 with the run file.
# CUDA version is usually aligned with the latest NGC CUDA image tag.
# Only use when public CUDA image is not ready.
CUDA_VER="13.0.2_580.95.05"
CUDA_VER_SHORT="${CUDA_VER%_*}"
NVCC_VERSION_OUTPUT=$(nvcc --version)
OLD_CUDA_VER=$(echo $NVCC_VERSION_OUTPUT | grep -oP "\d+\.\d+" | head -n 1)
echo "The version of pre-installed CUDA is ${OLD_CUDA_VER}."
check_cuda_version() {
if [ -n "$CUDA_VERSION" ] && [ -n "$CUDA_DRIVER_VERSION" ]; then
CUDA_VERSION_SHORT=$(echo "$CUDA_VERSION" | cut -d'.' -f1-3)
ENV_CUDA_VER="${CUDA_VERSION_SHORT}_${CUDA_DRIVER_VERSION}"
if [ "$ENV_CUDA_VER" = "$CUDA_VER" ]; then
echo "CUDA version matches ($ENV_CUDA_VER), skipping reinstallation"
return 0
fi
fi
return 1
}
reinstall_rockylinux_cuda() {
dnf -y install epel-release
dnf remove -y "cuda*" "*cublas*" "*cufft*" "*cufile*" "*curand*" "*cusolver*" "*cusparse*" "*gds-tools*" "*npp*" "*nvjpeg*" "nsight*" "*nvvm*"
rm -rf /usr/local/cuda-${OLD_CUDA_VER}
wget --retry-connrefused --timeout=180 --tries=10 --continue https://developer.download.nvidia.com/compute/cuda/${CUDA_VER_SHORT}/local_installers/cuda_${CUDA_VER}_linux.run
sh cuda_${CUDA_VER}_linux.run --silent --override --toolkit
rm -f cuda_${CUDA_VER}_linux.run
}
# Install base packages depending on the base OS
ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
case "$ID" in
rocky)
if check_cuda_version; then
echo "CUDA version matches ($CUDA_VER), skipping reinstallation"
exit 0
fi
echo "Reinstall CUDA for RockyLinux 8..."
reinstall_rockylinux_cuda
;;
*)
echo "Skip for other OS..."
;;
esac