#!/bin/bash set -ex TRT_VER_BASE="10.4.0" TRT_VER_FULL="${TRT_VER_BASE}.26" CUDA_VER="12.6" CUDNN_VER="9.5.0.50-1" NCCL_VER="2.22.3-1+cuda12.6" CUBLAS_VER="12.6.3.3-1" NVRTC_VER="12.6.77-1" for i in "$@"; do case $i in --TRT_VER=?*) TRT_VER="${i#*=}";; --CUDA_VER=?*) CUDA_VER="${i#*=}";; --CUDNN_VER=?*) CUDNN_VER="${i#*=}";; --NCCL_VER=?*) NCCL_VER="${i#*=}";; --CUBLAS_VER=?*) CUBLAS_VER="${i#*=}";; *) ;; esac shift done NVCC_VERSION_OUTPUT=$(nvcc --version) if [[ $(echo $NVCC_VERSION_OUTPUT | grep -oP "\d+\.\d+" | head -n 1) != ${CUDA_VER} ]]; then echo "The version of pre-installed CUDA is not equal to ${CUDA_VER}." exit 1 fi install_ubuntu_requirements() { apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates ARCH=$(uname -m) if [ "$ARCH" = "amd64" ];then ARCH="x86_64";fi if [ "$ARCH" = "aarch64" ];then ARCH="sbsa";fi curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${ARCH}/cuda-keyring_1.1-1_all.deb dpkg -i cuda-keyring_1.1-1_all.deb rm /etc/apt/sources.list.d/cuda-ubuntu2404-x86_64.list apt-get update if [[ $(apt list --installed | grep libcudnn9) ]]; then apt-get remove --purge -y --allow-change-held-packages libcudnn9* fi if [[ $(apt list --installed | grep libnccl) ]]; then apt-get remove --purge -y --allow-change-held-packages libnccl* fi if [[ $(apt list --installed | grep libcublas) ]]; then apt-get remove --purge -y --allow-change-held-packages libcublas* fi if [[ $(apt list --installed | grep cuda-nvrtc-dev) ]]; then apt-get remove --purge -y --allow-change-held-packages cuda-nvrtc-dev* fi CUBLAS_CUDA_VERSION=$(echo $CUDA_VER | sed 's/\./-/g') apt-get install -y --no-install-recommends libcudnn9-cuda-12=${CUDNN_VER} libcudnn9-dev-cuda-12=${CUDNN_VER} apt-get install -y --no-install-recommends libnccl2=${NCCL_VER} libnccl-dev=${NCCL_VER} apt-get install -y --no-install-recommends libcublas-${CUBLAS_CUDA_VERSION}=${CUBLAS_VER} libcublas-dev-${CUBLAS_CUDA_VERSION}=${CUBLAS_VER} # NVRTC static library doesn't exist in NGC PyTorch container. NVRTC_CUDA_VERSION=$(echo $CUDA_VER | sed 's/\./-/g') apt-get install -y --no-install-recommends cuda-nvrtc-dev-${NVRTC_CUDA_VERSION}=${NVRTC_VER} apt-get clean rm -rf /var/lib/apt/lists/* } install_centos_requirements() { CUBLAS_CUDA_VERSION=$(echo $CUDA_VER | sed 's/\./-/g') yum -y update yum -y install epel-release yum remove -y libnccl* && yum -y install libnccl-${NCCL_VER} libnccl-devel-${NCCL_VER} yum remove -y libcublas* && yum -y install libcublas-${CUBLAS_CUDA_VERSION}-${CUBLAS_VER} libcublas-devel-${CUBLAS_CUDA_VERSION}-${CUBLAS_VER} yum clean all } install_tensorrt() { #PY_VERSION=$(python3 -c 'import sys; print(".".join(map(str, sys.version_info[0:2])))') #PARSED_PY_VERSION=$(echo "${PY_VERSION//./}") TRT_CUDA_VERSION="12.6" if [ -z "$RELEASE_URL_TRT" ];then ARCH=${TRT_TARGETARCH} if [ -z "$ARCH" ];then ARCH=$(uname -m);fi if [ "$ARCH" = "arm64" ];then ARCH="aarch64";fi if [ "$ARCH" = "amd64" ];then ARCH="x86_64";fi if [ "$ARCH" = "x86_64" ];then DIR_NAME="x64-agnostic"; else DIR_NAME=${ARCH};fi if [ "$ARCH" = "aarch64" ];then OS1="Ubuntu22_04" && OS2="Ubuntu-24.04" && OS="ubuntu-24.04"; else OS1="Linux" && OS2="Linux" && OS="linux";fi RELEASE_URL_TRT=https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/${TRT_VER_BASE}/tars/TensorRT-${TRT_VER_FULL}.${OS2}.${ARCH}-gnu.cuda-${TRT_CUDA_VERSION}.tar.gz fi wget --no-verbose ${RELEASE_URL_TRT} -O /tmp/TensorRT.tar tar -xf /tmp/TensorRT.tar -C /usr/local/ mv /usr/local/TensorRT-${TRT_VER_FULL} /usr/local/tensorrt # pip3 install /usr/local/tensorrt/python/tensorrt-*-cp${PARSED_PY_VERSION}-*.whl rm -rf /tmp/TensorRT.tar } # Install base packages depending on the base OS ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"') case "$ID" in debian) install_ubuntu_requirements install_tensorrt ;; ubuntu) install_ubuntu_requirements install_tensorrt ;; centos) install_centos_requirements install_tensorrt ;; *) echo "Unable to determine OS..." exit 1 ;; esac