cuDNN version incompatibility about whisper-diarization

[zacharygraber]

@geekinchief22 @HMS97 I had a similar problem (cuDNN version error) and was able to fix it by doing the following:

1. Edit requirements.txt to unpin versions -- should look like this:

   wget
   nemo_toolkit[asr]
   transformers>=4.26.1
   faster-whisper
   . . . 
   

2. Install this repo's requirements (pip install -r requirements.txt). For me, this replaced my PyTorch 2.1 with an older version.
3. Manually install a newer nightly PyTorch on top of the repo:

   pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu118
   

Thought I'd share this in case it helps you folk. I'm using the NVIDIA NGC PyTorch containers (23.04-py3) with driver version 525.85.05 (Ubuntu 22.04 as the host OS--the containers run Ubuntu 20.04). PyTorch is supposed to come bundled with CUDA/cuDNN, but I'm guessing that for me the error was coming from a version mismatch between the newer torch version I already had, and the older one the repo's requirements wanted to install.

[HMS97]

same problem here

[MahmoudAshraf97]

I managed to solve the problem by removing the cudnn package that was installed in pip and torch automatically used the original cudnn installation that was installed using the official instructions