Transcribe crash jupyter notebook kernels about faster-whisper

[benniekiss]

Have you solved this? I have been suffering from this recently.

I dont know the underlying cause, but the LD_LIBRARY_PATH env had become unset, and setting it before starting the jupyter server stopped the crashes.

I never had explicitly set it before and faster-whisper was working previously, but this has fixed my problem for now

[benniekiss]

I am experiencing the same issue. Have you found any effective workaround or root cause?

[Null404bad]

Have you solved this? I have been suffering from this recently.

[Null404bad]

Have you solved this? I have been suffering from this recently.

I dont know the underlying cause, but the LD_LIBRARY_PATH env had become unset, and setting it before starting the jupyter server stopped the crashes.

I never had explicitly set it before and faster-whisper was working previously, but this has fixed my problem for now

Thanks for your response. I also fix this but by uninstalling cuda 12, then installing cuda 11 (specifically 11.8) and downgrade the faster-whisper. The latest faster-whisper requires cuda 12 but cudnn for cuda 11. I guess most crash issues are caused by this. This is really weird, anyway.

See #717

[GiCollini]

LD_LIBRARY_PATH env had become unset, and setting it before starting the jupyter server stopped the crashes.

Appartently once the jupyter kernel is running changing the LD_LIBRARY_PATH has no effect.
So setting LD_LIBRARY_PATH in the code works for running .py script, but not when running jupyter notebooks.

I am using vscode with the Jupyter extension for running the jupyter notebook (actually on a AWS Sagemaker Code Editor instance). I was able to setting the LD_LIBRARY_PATH by:

• cloning the kernel.json of my environment (for me it is stored in the folder .conda/envs//share/jupyter/kernels/python3) into a new folder (name is not important) within the jupyter kernel references (.local/share/jupyter/kernels)
• changing the dispaly name in the new kernel.json "display_name": "<NAME TO BE DISPLAYED>",
• adding "env": {"LD_LIBRARY_PATH": "<CORRECT PATH>"}

Apparently changing the original kernel.json is not used when starting up the vscode jupyter kernel corresponding to the conda environment

[GiCollini]

Have you solved this? I have been suffering from this recently.

I dont know the underlying cause, but the LD_LIBRARY_PATH env had become unset, and setting it before starting the jupyter server stopped the crashes.
I never had explicitly set it before and faster-whisper was working previously, but this has fixed my problem for now

Thanks for your response. I also fix this but by uninstalling cuda 12, then installing cuda 11 (specifically 11.8) and downgrade the faster-whisper. The latest faster-whisper requires cuda 12 but cudnn for cuda 11. I guess most crash issues are caused by this. This is really weird, anyway.

See #717

Actually faster-whisper==1.0.2 does not require any CUDA 11 dependences. This issue has been solved

[Null404bad]

Have you solved this? I have been suffering from this recently.

I dont know the underlying cause, but the LD_LIBRARY_PATH env had become unset, and setting it before starting the jupyter server stopped the crashes.
I never had explicitly set it before and faster-whisper was working previously, but this has fixed my problem for now

Thanks for your response. I also fix this but by uninstalling cuda 12, then installing cuda 11 (specifically 11.8) and downgrade the faster-whisper. The latest faster-whisper requires cuda 12 but cudnn for cuda 11. I guess most crash issues are caused by this. This is really weird, anyway.
See #717

Actually faster-whisper==1.0.2 does not require any CUDA 11 dependences. This issue has been solved

Thanks for sharing your solution. My current model in running normally and I'm exhausted by solving this problem : (
But I'll try this next time if it happens again. I'd like to be informed if this solution works for others.