How to verify CuDNN installation

Question

I have searched many places but ALL I get is HOW to install it  not how to verify that it is installed  I can verify my NVIDIA driver is installed  and that CUDA is installed  but I don t know how to verify CuDNN is installed  Help will be much appreciated  thanks   PS  This is for a caffe implementation  Currently everything is working without CuDNN enabled

User · Answer

My answer shows how to check the version of CuDNN installed, which is usually something that you also want to verify. You first need to find the installed cudnn file and then parse this file. To find the file, you can use:

whereis cudnn.h
CUDNN_H_PATH=$(whereis cudnn.h)

If that doesn't work, see "Redhat distributions" below.

Once you find this location you can then do the following (replacing ${CUDNN_H_PATH} with the path):

cat ${CUDNN_H_PATH} | grep CUDNN_MAJOR -A 2

The result should look something like this:

#define CUDNN_MAJOR 7
#define CUDNN_MINOR 5
#define CUDNN_PATCHLEVEL 0
--
#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)

Which means the version is 7.5.0.

Ubuntu 18.04 (via sudo apt install nvidia-cuda-toolkit)

This method of installation installs cuda in /usr/include and /usr/lib/cuda/lib64, hence the file you need to look at is in /usr/include/cudnn.h.

CUDNN_H_PATH=/usr/include/cudnn.h
cat ${CUDNN_H_PATH} | grep CUDNN_MAJOR -A 2

Debian and Ubuntu

From CuDNN v5 onwards (at least when you install via sudo dpkg -i <library_name>.deb packages), it looks like you might need to use the following:

cat /usr/include/x86_64-linux-gnu/cudnn_v*.h | grep CUDNN_MAJOR -A 2

For example:

$ cat /usr/include/x86_64-linux-gnu/cudnn_v*.h | grep CUDNN_MAJOR -A 2                                                         
#define CUDNN_MAJOR      6
#define CUDNN_MINOR      0
#define CUDNN_PATCHLEVEL 21
--
#define CUDNN_VERSION    (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)

#include "driver_types.h"

indicates that CuDNN version 6.0.21 is installed.

Redhat distributions

On CentOS, I found the location of CUDA with:

$ whereis cuda
cuda: /usr/local/cuda

I then used the procedure about on the cudnn.h file that I found from this location:

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

User · Answer

When installing on ubuntu via  deb you can use sudo apt search cudnn   grep installed

User · Answer

Run   mnistCUDNN in  usr src cudnn samples v7 mnistCUDNN Here is an example   cudnnGetVersion     7005   CUDNN VERSION from cudnn h   7005  7 0 5  Host compiler version   GCC 5 4 0 There are 1 CUDA capable devices on your machine   device 0   sms 30  Capabilities 6 1  SmClock 1645 0 Mhz  MemSize  Mb  24446  MemClock 4513 0 Mhz  Ecc 0     boardGroupID 0 Using device 0

User · Answer

The installation of CuDNN is just copying some files  Hence to check if CuDNN is installed  and which version you have   you only need to check those files   Install CuDNN  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    Check version  You might have to adjust the path  See step 2 of the installation     cat  usr local cuda include cudnn h   grep CUDNN MAJOR -A 2   Notes  When you get an error like  F tensorflow stream executor cuda cuda dnn cc 427  could not set cudnn filter descriptor  CUDNN STATUS BAD PARAM   with TensorFlow  you might consider using CuDNN v4 instead of v5   Ubuntu users who installed it via apt  https   askubuntu com a 767270 10425

User · Answer

Getting cuDNN Version  Linux   Use following to find path for cuDNN   cat   whereis cudnn h    grep CUDNN MAJOR -A 2   If above doesn t work try this   cat   whereis cuda  include cudnn h   grep CUDNN MAJOR -A 2   Getting cuDNN Version  Windows   Use following to find path for cuDNN   C   gt where cudnn  C  Program Files cuDNN6 cuda bin cudnn64 6 dll   Then use this to dump version from header file   type   PROGRAMFILES  cuDNN6 cuda include cudnn h    findstr  CUDNN MAJOR CUDNN MINOR CUDNN PATCHLEVEL    Getting CUDA Version  This works on Linux as well as Windows   nvcc --version

User · Answer

To check installation of CUDA  run below command  if it   s installed properly then below command will not throw any error and will print correct version of library   function lib installed      sbin ldconfig -N -v   sed  s        lt  lt  lt   LD LIBRARY PATH  2 gt  dev null   grep  1    function check     lib installed  1  amp  amp  echo   1 is installed     echo  ERROR   1 is NOT installed     check libcuda check libcudart   To check installation of CuDNN  run below command  if CuDNN is installed properly then you will not get any error   function lib installed      sbin ldconfig -N -v   sed  s        lt  lt  lt   LD LIBRARY PATH  2 gt  dev null   grep  1    function check     lib installed  1  amp  amp  echo   1 is installed     echo  ERROR   1 is NOT installed     check libcudnn    OR  you can run below command from any directory   nvcc -V   it should give output something like this   nvcc  NVIDIA  R  Cuda compiler driver  Copyright  c  2005-2016 NVIDIA Corporation  Built on Tue Jan 10 13 22 03 CST 2017  Cuda compilation tools  release 8 0  V8 0 61

User · Answer

How about checking with python code  from tensorflow python platform import build info as tf build info  print tf build info cudnn version number    7 in v1 10 0

User · Answer

I have cuDNN 8 0 and none of the suggestions above worked for me  The desired information was in  usr include cudnn version h  so cat  usr include cudnn version h   grep CUDNN MAJOR -A 2  did the trick

User · Answer

On Ubuntu 20 04LTS  cat  usr local cuda include cudnn version h   grep CUDNN MAJOR  returned the expected results

User · Answer

Installing CuDNN just involves placing the files in the CUDA directory  If you have specified the routes and the CuDNN option correctly while installing caffe it will be compiled with CuDNN   You can check that using cmake  Create a directory caffe build and run cmake    from there  If the configuration is correct you will see these lines   -- Found cuDNN  include   usr local cuda-7 0 include  library   usr local cuda-7 0 lib64 libcudnn so   -- NVIDIA CUDA  --   Target GPU s          Auto --   GPU arch s            sm 30 --   cuDNN                 Yes   If everything is correct just run the make orders to install caffe from there

[cuda] How to verify CuDNN installation?

Ubuntu 18.04 (via sudo apt install nvidia-cuda-toolkit)

Debian and Ubuntu

Redhat distributions

Examples related to cuda

Examples related to computer-vision

Examples related to caffe

Examples related to conv-neural-network

Examples related to cudnn