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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