windows7 64位机上安装配置CUDA 9.1+cudnn7操作步骤

最新推荐文章于 2024-02-22 23:54:27 发布

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最新推荐文章于 2024-02-22 23:54:27 发布

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原文链接：https://blog.youkuaiyun.com/moxiaobeiMM/article/details/84529608

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原文链接：https://blog.youkuaiyun.com/moxiaobeiMM/article/details/84529608

windows7 64位机上安装配置CUDA 9.1+cudnn7操作步骤

2018-11-26 12:22:46 陌筱北阅读数 1365

分类专栏：笔记

本文链接： https://blog.youkuaiyun.com/moxiaobeiMM/article/details/84529608

参考网址：https://tensorflow.google.cn/install/gpu
Tensorflow-gpu不同版本要求与CUDA及CUDNN版本对应关系
在这里插入图片描述

1.升级显卡驱动

右击计算机，选择管理
在这里插入图片描述

设备管理器→显示适配器→更新驱动程序软件
在这里插入图片描述

等待更新完成

2.查看本机支持CUDA的版本

右击桌面→打开NVIDIA控制面板或者开始→控制面板→NVIDIA控制面板
在这里插入图片描述
帮助→系统信息→组件查看CUDA支持版本

3. 下载CUDA9及对应Cudnn7

安装包地址：https://pan.baidu.com/s/1ONri0GoER2R6hu0sIXjyZw
提取码：zepr

如果上述地址中没有你需要的，可在官网下载
CUDA下载网址：https://developer.nvidia.com/cuda-toolkit-archive
在这里插入图片描述

Cudnn网址：https://developer.nvidia.com/rdp/cudnn-archive
Cudnn下载需要注册，注册后进行下载
在这里插入图片描述

4. 卸载CUDA8（之前没装CUDA可忽略此步骤）

留下NVIDIA重要的2个软件：NVIDIA的图形驱动软件，NVIDIA Physx系统软件，其他的都删了。C盘C:\Program Files\NVIDIA GPU Computing Toolkit这个文件也可以删除，然后清理垃圾。

开始→控制面板→程序→程序卸载
在这里插入图片描述
将版本为8.0的全部卸载，无先后顺序（上图为CUDA9.1示意图）

5.安装CUDA9

下面是安装过程（按照默认安装）：
在这里插入图片描述

接下来就是同意继续下一步，等待CUDA安装的结束。

6.设置环境变量

安装结束后，我们在计算机上点右键，打开属性->高级系统设置->环境变量，可以看到系统中多了CUDA_PATH和CUDA_PATH_V9_1两个环境变量。

我们还需要在环境变量中添加如下几个变量：

CUDA_SDK_PATH = C:\ProgramData\NVIDIA Corporation\CUDA Samples\v9.1
CUDA_LIB_PATH = %CUDA_PATH%\lib\x64
CUDA_BIN_PATH = %CUDA_PATH%\bin
CUDA_SDK_BIN_PATH = %CUDA_SDK_PATH%\bin\win64
CUDA_SDK_LIB_PATH = %CUDA_SDK_PATH%\common\lib\x64
验证：
在这里插入图片描述

7.检查cuda安装成功与否

cmd目录下运行 nvcc -V
在这里插入图片描述
出现上述所示表示安装成功
其它验证方法：
在cuda安装文件夹中有deviceQuery.exe 和 bandwidthTest.exe两个程序。首先启动cmd DOS命令窗口，默认进来的是c:\users\Admistrator>路径，输入 cd … 两次，来到c:目录下输入dir 找到安装的cuda文件夹。
在这里插入图片描述
分别输入deviceQuery.exe 和 bandwidthTest.exe，运行结果如图所示。Rsult=PASS则说明通过，反之，Rsult=Fail 则需要重新安装。

8.配置CUDNN

在这里插入图片描述
解压得到

a) 把cuda\bin\cudnn64_7.dll复制到 C:\Program Files
\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin 目录下.
b) 把\cuda\ include\cudnn.h复制到 C:\Program Files
\NVIDIA GPU Computing Toolkit\CUDA\v9.0\include 目录下.
c) 把\cuda\lib\x64\cudnn.lib复制到C:\Program Files
\NVIDIA GPU Computing Toolkit\CUDA\v9.0\lib\x64 目录下.

CUDA安装已完成

9.安装tensorflow 1.11

GPU
cmd 输入 Pip install tensorflow-gpu=1.11 等待完成

若出现错误，可直接安装wheel包
地址为：https://pan.baidu.com/s/1ONri0GoER2R6hu0sIXjyZw
提取码：zepr

将whl文件复制到本地，cmd转到whl文件所在文件夹下，输入pip install tensorflow_gpu-1.11.0-cp36-cp36m-win_amd64.whl，等待安装完成。

CPU
cmd 输入 Pip install tensorflow=1.11 等待完成

若出现错误，可直接安装wheel包
地址为：https://pan.baidu.com/s/1ONri0GoER2R6hu0sIXjyZw
提取码：zepr
将whl文件复制到本地，cmd转到whl文件所在文件夹下，输入pip install tensorflow-1.11.0-cp36-cp36m-win_amd64.whl，等待安装完成。

验证tensorflow环境是否安装成功
检测目前安装了哪些环境：conda info --envs
在这里插入图片描述
activate tensorflow-gpu 进入gpu环境

deactivate 退出环境

activate tensorflow 进入cpu环境

deactivate 退出环境

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