1. 安装cuda toolkit:
下载网站 https://developer.nvidia.com/cuda-11.3.0-download-archive
选择版本，这里选择11.3
wget https://developer.download.nvidia.com/compute/cuda/11.3.0/local_installers/cuda_11.3.0_465.19.01_linux.run
给cuda权限:
chmod +x cuda_11.3.0_465.19.01_linux.run
运行安装文件：
sudo sh cuda_11.3.0_465.19.01_linux.run
利用上下键以及enter，选中，只安装CUDA Toolkit，
选择Options并进入，然后我们需要修改Toolkit Options 、Library install path这两项的路径，把路径都设为/usr/local/cuda-11.3/，
其他项都不选择
最后点击Install,等待一段时间，会出现如下所示安装信息，说明安装成功
Driver: Not Selected
Toolkit: Installed in /usr/local/cuda-11.3/
Samples: Not Selected
同样的步骤，可以安装其他版本cuda
2.切换cuda版本以应对不同的pytorch版本
在已存在多种版本cuda的情况下，切换cuda版本以应对不同的pytorch版本
如cd /usr/local $ls
可以看到有cuda-11.1 cuda-11.3
切换脚本：
参考https://github.com/phohenecker/switch-cuda/blob/master/README.md
vim switch-cuda.sh
#!/usr/bin/env bash# Copyright (c) 2018 Patrick Hohenecker
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.# author: Patrick Hohenecker <mail@paho.at>
# version: 2018.1
# date: May 15, 2018set -e# ensure that the script has been sourced rather than just executed
if [[ "${BASH_SOURCE[0]}" = "${0}" ]]; thenecho "Please use 'source' to execute switch-cuda.sh!"exit 1
fiINSTALL_FOLDER="/usr/local" # the location to look for CUDA installations at
TARGET_VERSION=${1} # the target CUDA version to switch to (if provided)# if no version to switch to has been provided, then just print all available CUDA installations
if [[ -z ${TARGET_VERSION} ]]; thenecho "The following CUDA installations have been found (in '${INSTALL_FOLDER}'):"ls -l "${INSTALL_FOLDER}" | egrep -o "cuda-[0-9]+\\.[0-9]+$" | while read -r line; doecho "* ${line}"doneset +ereturn
# otherwise, check whether there is an installation of the requested CUDA version
elif [[ ! -d "${INSTALL_FOLDER}/cuda-${TARGET_VERSION}" ]]; thenecho "No installation of CUDA ${TARGET_VERSION} has been found!"set +ereturn
fi# the path of the installation to use
cuda_path="${INSTALL_FOLDER}/cuda-${TARGET_VERSION}"# filter out those CUDA entries from the PATH that are not needed anymore
path_elements=(${PATH//:/ })
new_path="${cuda_path}/bin"
for p in "${path_elements[@]}"; doif [[ ! ${p} =~ ^${INSTALL_FOLDER}/cuda ]]; thennew_path="${new_path}:${p}"fi
done# filter out those CUDA entries from the LD_LIBRARY_PATH that are not needed anymore
ld_path_elements=(${LD_LIBRARY_PATH//:/ })
new_ld_path="${cuda_path}/lib64:${cuda_path}/extras/CUPTI/lib64"
for p in "${ld_path_elements[@]}"; doif [[ ! ${p} =~ ^${INSTALL_FOLDER}/cuda ]]; thennew_ld_path="${new_ld_path}:${p}"fi
done# update environment variables
export CUDA_HOME="${cuda_path}"
export CUDA_ROOT="${cuda_path}"
export LD_LIBRARY_PATH="${new_ld_path}"
export PATH="${new_path}"echo "Switched to CUDA ${TARGET_VERSION}."set +e
return
查看都有哪些cuda版本
source switch-cuda.sh
我这里会显示有两个版本的cuda
The following CUDA installations have been found (in '/usr/local'):
* cuda-11.1
* cuda-11.32.2 当切换到11.3时
切换指令
source switch-cuda.sh 11.3
查看当先cuda指令:
nvcc -V
显示
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Sun_Mar_21_19:15:46_PDT_2021
Cuda compilation tools, release 11.3, V11.3.58
Build cuda_11.3.r11.3/compiler.29745058_0
2.3 当切换到11.1时
切换指令
source switch-cuda.sh 11.1
查看当先cuda指令:
nvcc -V
显示
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Mon_Oct_12_20:09:46_PDT_2020
Cuda compilation tools, release 11.1, V11.1.105
Build cuda_11.1.TC455_06.29190527_0
