Found cuDNN: v? (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so) CMake Error

最近在安装spconv的时候，本地编译出现了问题，没有cudnn支持，所以按照教程安装：

Install CuDNN[Solved] How to verify CuDNN installation? | 9to5Answer

Step 1: Register an nvidia developer account and download cudnn here (about 80 MB). You might need nvcc --version to get your cuda version.

Step 2: Check where your cuda installation is. For most people, it will be /usr/local/cuda/. You can check it with which nvcc.

Step 3: Copy the files:

$ cd folder/extracted/contents
$ sudo cp include/cudnn.h /usr/local/cuda/include
$ sudo cp lib64/libcudnn* /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/lib64/libcudnn*

 但是在执行python setup.py bdist_wheel命令后，还是报错：

Found cuDNN: v? (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so) CMake Error

发现有解决方法：

新版本cudnn的版本信息包含在cudnn_version.h中，而不是cudnn.h中

修改：libtorch/share/cmake/Caffe2/public/cuda.cmake，148行

替换：
file(READ ${CUDNN_INCLUDE_PATH}/cudnn.h CUDNN_HEADER_CONTENTS)
为 : 
file(READ ${CUDNN_INCLUDE_PATH}/cudnn_version.h CUDNN_HEADER_CONTENTS)

同样地，查询cuDNN版本也要更改为cudnn_version.h

cat /usr/local/cuda/include/cudnn_version.h | grep CUDNN_MAJOR -A 2

但是上面这个方法，还是不行，仔细看148行（实际149行，已经考虑到兼容旧版本这个问题）,所以只要执行：

 sudo cp cuda/include/cudnn_version.h /usr/local/cuda/include/

这样就可以了。

进一步执行： cat /usr/local/cuda/include/cudnn_version.h | grep CUDNN_MAJOR -A 2