cuda\cudnn\torch安装

------------------------------------------------cuda安装-----------------------------------------------------------
1、https://blog.csdn.net/RenZuoym/article/details/132211730
2、下载：cuda—toolkits https://developer.nvidia.com/cuda-12-2-0-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=deb_local
3、设置环境变量，依次敲以下命令
export PATH=$PATH:/usr/local/cuda-12.2/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12.2/lib64
export CUDA_HOME=$CUDA_HOME:/usr/local/cuda-12.2
---------------------------------------cuda验证--------------------------------------
验证：命令行输入 ： nvidia-smi、 nvcc --version
------------------------------------------------cudnn安装---------------------------

	1、先下载文件，wget http://47.105.176.36:9999/down/VWz6gRjGUoqj.deb   
             官网下载地址  https://developer.nvidia.com/rdp/cudnn-archive
	2、打开网址：https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html 用作参考
	3、重命名：mv dash.deb  cudnn-local-repo-ubuntu2204-8.9.7.29_1.0-1_amd64.deb 
	4：依次敲以下命令：
		sudo dpkg -i cudnn-local-repo-ubuntu2204-8.9.7.29_1.0-1_amd64.deb
		sudo cp /var/cudnn-local-repo-*/cudnn-local-*-keyring.gpg /usr/share/keyrings/
		sudo apt-get update
		sudo apt-cache madison libcudnn8
		sudo apt-get install libcudnn8=8.9.7.29-1+cuda12.2
	--------------------------------cudnn验证----------------------------
	     cudnn验证：https://blog.csdn.net/kz_java/article/details/122067916

-------------------------------------------------pytorch安装----------------------
官网 ： pip3 install torch torchvision torchaudio
------验证torch和cuda是否可用----
进入python3命令行：import torch torch.cuda.is_available() 如果返回True 表示ok
--------假如torch 验证出现出题------
https://www.cnblogs.com/huadongw/p/16504137.html

	依次敲入以下命令
	version=535.54.03
	main_version=$(echo $version | awk -F '.' '{print $1}')
	apt-get update
	apt-get -y install nvidia-fabricmanager-${main_version}=${version}-*
	


	systemctl enable nvidia-fabricmanager
	systemctl restart nvidia-fabricmanager
	systemctl status nvidia-fabricmanager