https://blog.youkuaiyun.com/youshaoduo/article/details/80791110
经过自己测试,没有必要使用cudnn(用来做跟踪项目)
可以自己写个startup文件,如:
run('D:\*************\external\matconvnet\matlab\vl_setupnn')
run('D:\*************\external\matconvnet\matlab\vl_compilenn')
matlab编译
vl_compilenn('enableGpu', true, 'cudaRoot', 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.5','cudaMethod' ,'nvcc','verbose', '2')
不过要把环境变量一股脑加上去,最好都加上,cudatoolkit和cudasample及其子文件,如图:
会出现问题 , 警告:
Setting the 'MW_NVCC_PATH' environment variable to 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUdav7.5等等,解决方法:
解决办法:在环境变量中添加变量名为MW_NVCC-PATH,变量的路径为:C: program File NVIDIA GPU’ Computing T**
编译——————
运行成功:
附几个写的不错的解决方案,以后遇到问题可以参考:
https://blog.youkuaiyun.com/youshaoduo/article/details/80791110
https://blog.youkuaiyun.com/kerrwy/article/details/79571847
https://blog.youkuaiyun.com/WuLi_Zhe/article/details/82620930
https://blog.youkuaiyun.com/discoverer100/article/details/78963233
https://blog.youkuaiyun.com/qq_33782064/article/details/80003520