[解決方案] conda 虚拟环境中 cuda不同版本進行切換（含Linux 和 Windows）

[ 前言 ] 切换不同版本 cuda 前提须安装多个版本的 cuda

cuda 安装可参考CUDA的下载与安装，去Nvidia官网下载安装所需的 cuda 版本

[ 基于Windows 下 切换不同版本 cuda ] ：

1. 修改系统环境变量方法

可以参看【CUDA】win10切换不同版本的CUDA，此方法适用于长时间更换cuda 版本，若仅需在某个虚拟环境（env）中切换成对应版本，可参照第二点方法

2. 编写脚本切换 cuda 版本

详细可以参看 conda 官方文档 Windows 下设置环境变量

① 由 Cmd 或 Prompt 定位到需要切换 cuda 版本的虚拟环境（env）下：

cd C:\ProgramData\Anaconda3\envs\ env # Anaconda 默认安装在C盘此目录下 env：为所需切换cuda版本的虚拟环境

cd /d D:\Anaconda3\envs\ env #Anaconda 安装在其他位置

② 在 env 下创建存放脚本的文件夹：

mkdir .\etc\conda\activate.d #创建activate.d文件夹

mkdir .\etc\conda\deactivate.d #创建deactivate.d文件夹

③ 在新创建的两个文件夹中创建 env_vars.bat 脚本文件，将cuda版本添加到临时系统变量中：

(将CUDA_PATH、CUDA_NVVP、CUDA_lib设置为所需cuda下的bin、libnvvp、lib\x64对应绝对路径)

# activate.d\env_vars.bat

@set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin

@set CUDA_NVVP=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\libnvvp

@set CUDA_lib=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\lib\x64

@set OLD_PATH=%PATH%

@set PATH=%CUDA_PATH%;%CUDA_NVVP%;%CUDA_lib%;%PATH%;

# deactivate.d\env_vars.bat

@set PATH=%OLD_PATH%

④ 此时激活虚拟环境 conda activate env ，运行 nvcc -V 查看版本，即发现cuda版本已经切换， 此方法重启终端后，cuda 环境会恢复至原来版本

若发现激活env时，修改临时系统变量的脚本并未生效，可以在激活后，手动执行脚本即可

[ 基于Linux下 切换不同版本 cuda ] ：

1. 修改系统环境变量方法

详细可以参看【CUDA】Linux切换不同版本的CUDA, 此方法适用于长时间更换cuda 版本，若仅需在临时切换成对应版本，可参照第二点方法

① ls /usr/local | grep cuda列出已安装的 CUDA 版本

② vim ~/.bashrc 将要使用的CUDA版本添加到环境变量，将如下内容添加进最后一行

# 须切换的CUDA版本号

export PATH=/usr/local/cuda-/bin${PATH:+:${PATH}}

export LD_LIBRARY_PATH=/usr/local/cuda-/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

③ source ~/.bashrc 更新环境变量即可 ④ 此时激活虚拟环境 conda activate env ，运行 nvcc -V 查看版本，即发现cuda版本已经切换

2. 编写脚本切换 cuda 版本

详细可以参考 Phohenecker 写的CUDA版本切换脚本，P神在github上有介绍详细的用法

# switch-cuda.sh 脚本代码如下

#!/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

# version: 2018.1

# date: May 15, 2018

set -e

# ensure that the script has been sourced rather than just executed

if [[ "${BASH_SOURCE[0]}" = "${0}" ]]; then

echo "Please use 'source' to execute switch-cuda.sh!"

exit 1

fi

INSTALL_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} ]]; then

echo "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; do

echo "* ${line}"

done

set +e

return

# otherwise, check whether there is an installation of the requested CUDA version

elif [[ ! -d "${INSTALL_FOLDER}/cuda-${TARGET_VERSION}" ]]; then

echo "No installation of CUDA ${TARGET_VERSION} has been found!"

set +e

return

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[@]}"; do

if [[ ! ${p} =~ ^${INSTALL_FOLDER}/cuda ]]; then

new_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[@]}"; do

if [[ ! ${p} =~ ^${INSTALL_FOLDER}/cuda ]]; then

new_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

① vi switch-cuda.sh 将上述 Phohenecker 编写的脚本内容填入新建文件当中 ② source switch-cuda.sh 执行脚本会扫描当前已安装的 cuda版本并显示在终端上 ③ source switch-cuda.sh version version 为须切换的CUDA版本号，脚本基于export 语句，重启终端后，cuda环境还是会恢复到原先版本