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Update 第十五章_异构运算、GPU及框架选型.md

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ch15_GPU和框架选型/第十五章_异构运算、GPU及框架选型.md
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@ -99,39 +99,43 @@ cuda9.0 https://developer.nvidia.com/cuda-90-download-archive
![cuda9.0](./img/ch15/cuda9.0.png)
（2）命令行中进入到cuda所在的位置，授予运行权限：
cuda8.0: sudo chmod +x cuda_8.0.61_375.26_linux.run
cuda9.0: sudo chmod +x cuda_9.0.176_384.81_linux.run
（2）命令行中进入到cuda所在的位置，授予运行权限：
cuda8.0: sudo chmod +x cuda_8.0.61_375.26_linux.run
cuda9.0: sudo chmod +x cuda_9.0.176_384.81_linux.run
（3）执行命令安装cuda：
cuda8.0: sudo sh cuda_8.0.61_375.26_linux.run
cuda9.0: sudo sh cuda_9.0.176_384.81_linux.run
之后命令之后下面就是安装步骤，cuda8.0和cuda9.0几乎一致：
1） 首先出现cuda软件的版权说明，可以直接按q键跳过阅读
（3）执行命令安装cuda：
cuda8.0: sudo sh cuda_8.0.61_375.26_linux.run
cuda9.0: sudo sh cuda_9.0.176_384.81_linux.run
之后命令之后下面就是安装步骤，cuda8.0和cuda9.0几乎一致：
1） 首先出现cuda软件的版权说明，可以直接按q键跳过阅读
2） Do you accept the previously read EULA?
accept/decline/quit: **accept**
2） Do you accept the previously read EULA?
accept/decline/quit: **accept**
3) Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81?
(y)es/(n)o/(q)uit: **no**
3) Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81?
(y)es/(n)o/(q)uit: **no**
4） Install the CUDA 9.0 Toolkit?
(y)es/(n)o/(q)uit: **yes**
4） Install the CUDA 9.0 Toolkit?
(y)es/(n)o/(q)uit: **yes**
5) Enter Toolkit Location
[ default is /usr/local/cuda-9.0 ]: 直接按enter键即可
5) Enter Toolkit Location
[ default is /usr/local/cuda-9.0 ]: 直接按enter键即可
6）Do you want to install a symbolic link at /usr/local/cuda?
(y)es/(n)o/(q)uit: **yes**
6）Do you want to install a symbolic link at /usr/local/cuda?
(y)es/(n)o/(q)uit: **yes**
7) Install the CUDA 9.0 Samples?
(y)es/(n)o/(q)uit: **yes**
以上步骤基本就是cuda的安装步骤。
7) Install the CUDA 9.0 Samples?
(y)es/(n)o/(q)uit: **yes**
以上步骤基本就是cuda的安装步骤。
2，安装cudnn
cudnn是nvidia的专门针对深度学习的加速库。。。
2，安装cudnn
cudnn是nvidia的专门针对深度学习的加速库。。。
### 15.6.3 本机安装还是使用docker？