阿木实验室SpireCV安装脚本

本文主要是介绍阿木实验室SpireCV安装脚本，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

#!/bin/sh# 下载安装包
wget https://download.amovlab.com/model/install/x86-nvidia/cuda-repo-ubuntu2004-11-6-local_11.6.2-510.47.03-1_amd64.deb
wget https://download.amovlab.com/model/install/x86-nvidia/cudnn-linux-x86_64-8.4.1.50_cuda11.6-archive.tar.xz
wget https://download.amovlab.com/model/install/x86-nvidia/nv-tensorrt-repo-ubuntu2004-cuda11.6-trt8.4.0.6-ea-20220212_1-1_amd64.deb
wget https://download.amovlab.com/model/install/x86-nvidia/cuda-ubuntu2004.pin# 记录安装包所在路径
package_dir="."
cuda_fn=$package_dir"/cuda-repo-ubuntu2004-11-6-local_11.6.2-510.47.03-1_amd64.deb"
cudnn_fn=$package_dir"/cudnn-linux-x86_64-8.4.1.50_cuda11.6-archive.tar.xz"
tensorrt_fn=$package_dir"/nv-tensorrt-repo-ubuntu2004-cuda11.6-trt8.4.0.6-ea-20220212_1-1_amd64.deb"
tmp_dir="/tmp"
echo -e "\033[32m[INFO]: CUDA_PKG: \033[0m"$cuda_fn
echo -e "\033[32m[INFO]: CUDNN_PKG: \033[0m"$cudnn_fn
echo -e "\033[32m[INFO]: TENSORRT_PKG: \033[0m"$tensorrt_fn# 所有文件都存在时，才会继续执行脚本
if [ ! -f "$cuda_fn" ]; thenecho -e "\033[31m[ERROR]: CUDA_PKG not exist!: \033[0m"exit 1
fi
if [ ! -f "$cudnn_fn" ]; thenecho -e "\033[31m[ERROR]: CUDNN_PKG not exist!: \033[0m"exit 1
fi
if [ ! -f "$tensorrt_fn" ]; thenecho -e "\033[31m[ERROR]: TENSORRT_PKG not exist!: \033[0m"exit 1
fi# 安装CUDA
echo -e "\033[32m[INFO]: CUDA installing ...\033[0m"
sudo cp $package_dir/cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo dpkg -i $cuda_fn
sudo apt-key add /var/cuda-repo-ubuntu2004-11-6-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda# 安装CUDNN
echo -e "\033[32m[INFO]: CUDNN installing ...\033[0m"
tar -xvf $cudnn_fn -C $tmp_dir
sudo cp $tmp_dir/cudnn-linux-x86_64-8.4.1.50_cuda11.6-archive/include/cudnn* /usr/local/cuda/include/
sudo cp $tmp_dir/cudnn-linux-x86_64-8.4.1.50_cuda11.6-archive/lib/libcudnn* /usr/local/cuda/lib64/
sudo chmod a+r /usr/local/cuda/include/cudnn* /usr/local/cuda/lib64/libcudnn*sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8.4.1 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8
sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn.so.8.4.1 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn.so.8
sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_ops_train.so.8.4.1 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_adv_train.so.8.4.1 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8.4.1 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8.4.1 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
sudo ln -sf /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8.4.1 /usr/local/cuda/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8# 安装TensorRT
echo -e "\033[32m[INFO]: TensorRT installing ...\033[0m"
sudo dpkg -i $tensorrt_fn
sudo apt-key add /var/nv-tensorrt-repo-ubuntu2004-cuda11.6-trt8.4.0.6-ea-20220212/7fa2af80.pub
sudo apt-get update
sudo apt-get install tensorrt -y
sudo apt-get install python3-libnvinfer-dev -ysudo rm $cuda_fn
sudo rm $cudnn_fn
sudo rm $tensorrt_fn