Wrong version of Cudnn appeared on jtop

I saw wrong version of cudnn appeared on jtop as it should not be version 1.0, should i manually install cudnn from cudnn website? But i am afraid that I will cause incompatibility with Pytorch. Without the correct version of cudnn I am not able to install opencv with CUDA enable, as it need the version of cudnn to make it work.

Hi,

jtop reads the version by running dpkg -l.

Could you try the below command in your environment:

$ dpkg -l | grep cuDNN
ii  cudnn                                        9.4.0-1                                     arm64        NVIDIA CUDA Deep Neural Network library (cuDNN)
ii  cudnn9                                       9.4.0-1                                     arm64        NVIDIA CUDA Deep Neural Network library (cuDNN)
ii  cudnn9-cuda-12                               9.4.0.58-1                                  arm64        NVIDIA cuDNN for CUDA 12
ii  cudnn9-cuda-12-6                             9.4.0.58-1                                  arm64        NVIDIA cuDNN for CUDA 12.6
ii  libcudnn9-cuda-12                            9.4.0.58-1                                  arm64        cuDNN runtime libraries for CUDA 12.6
ii  libcudnn9-dev-cuda-12                        9.4.0.58-1                                  arm64        cuDNN development headers and symlinks for CUDA 12.6
ii  libcudnn9-samples                            9.4.0.58-1                                  all          cuDNN samples
ii  libcudnn9-static-cuda-12                     9.4.0.58-1                                  arm64        cuDNN static libraries for CUDA 12.6

If you can get a similar installed list then it should be fine.

Thanks.

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