Is docker image nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04 more suitable than nvidia/cuda:12.0.0-runtime-ubuntu22.04 for faster-whisper's cudnn requirements?

[yasu-kondo]

I'm playing with faster-whisper on Docker environment.
Let me suggest tiny modification on README.md.
I've struggled with following error message while I played with wrong environment, like cudnn9 instead of cudnn8.

Could not load library libcudnn_ops_infer.so.8. Error: libcudnn_ops_infer.so.8: cannot open shared object file: No such file or directory

Suggestion

modify README.md especially Use Docker section.

• Suggestion

### Use Docker
The libraries (cuBLAS, cuDNN) are installed in these official NVIDIA CUDA Docker images: nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu20.04 or nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04.

• Current

### Use Docker
The libraries (cuBLAS, cuDNN) are installed in these official NVIDIA CUDA Docker images: nvidia/cuda:12.0.0-runtime-ubuntu20.04 or nvidia/cuda:12.0.0-runtime-ubuntu22.04.

Some nvidia/cuda images don't have cudnn

faster-whisper needs cudnn package, but some docker image suggested on README.md doesn't have it.

$ docker run nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04 dpkg -l | grep cudnn
hi  libcudnn8                       8.9.6.50-1+cuda12.2                     amd64        cuDNN runtime libraries
$ docker run nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04 dpkg -l | grep cublas
hi  libcublas-12-2                  12.2.5.6-1                              amd64        CUBLAS native runtime libraries
$ docker run nvidia/cuda:12.0.0-runtime-ubuntu22.04 dpkg -l | grep cudnn  # NO OUTPUT means that this image doesn't have `cudnn` package.
$ docker run nvidia/cuda:12.0.0-runtime-ubuntu22.04 dpkg -l | grep cublas
hi  libcublas-12-0                  12.0.1.189-1                            amd64        CUBLAS native runtime libraries

I'm happy to make PR if this suggesion looks good ;)