Caffe GPU version configuration under Windows

Source: Internet
Author: User

Because of the project needs, so in their own notebook configuration on the Windows GPU version of the Caffe;

Hardware: win10 ; gtx1070 (Computational ability 6.1);

Installation software: cudnn-8.0-windows10-x64-v5.1 ; cuda_8.0.61_win10 ; nugetpackages.zip ; CAF Fe-master;

Can be downloaded on their own website (I also provide Baidu cloud: Link: https://pan.baidu.com/s/1miDu1qo password: w7ja)

Reference link: https://www.cnblogs.com/king-lps/p/6553378.html(mainly in accordance with this and the following two articles to configure)

A Word version of the configuration tutorial : Link: https://pan.baidu.com/s/1hsEiDEG Password: d29u

Http://www.cnblogs.com/zf-blog/p/6139044.html

http://blog.csdn.net/tina_ttl/article/details/51722983

Https://www.2cto.com/kf/201612/575865.html

Detailed steps I will not write first, has been used in Ubuntu Caffe, this configuration is very easy, I only say a few points to note the place:

(1) When installing CUDA, note to uncheck the installation driver compoent option;

(2) Cuda installation is automatically added to the system variables, and after the installation of Cuda it is best to verify (NVCC- V and run DeviceQuery.exe, both better run, the latter I run a flashback, try to resolve the failure, but also did not affect the final installation);

(3) Download after the CUDNN, to extract the three folders to be merged into cuda corresponding folder on the OK;

(4) Download Caffe when the main to download the Windows version of Caffe, is the folder to have Windows this folder;

(5) Compile time does not need to compile all, compile order is Libcaffe, Caffe , if need to compile Python or MATLAB interface;

Then OK, try the simplest mnist on the line;

Caffe GPU version configuration under Windows

Related Article

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.