-
-
Notifications
You must be signed in to change notification settings - Fork 1.2k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device #794
Comments
I met the same issue, and my GPU is GTX 950M. My CUDA version: nvcc: NVIDIA (R) Cuda compiler driver Also ran nvidia-smi: NVIDIA-SMI 535.171.04 Driver Version: 535.171.04 CUDA Version: 12.2 |
I think you can refer to this link:#720 I encountered the same error message as yours , and solved by the solutions in this ref (pip install ctranslate2==3.24.0) |
Thx. I tried it, but it didn't work. It showed another error: "Segmentation fault " |
This worked for me. Hopefully this is resolved at some point to take advantage of newer versions. |
Glad to hear that. My system is Ubuntu, maybe the solution of it can be different. |
Not sure how this can work, at least with regard to this repo (whisperx) when faster-whisper requires ctranslate2 >4.0.0. Can you explain how you got past that requirement? |
I'm astounded... This worked for me as well. |
You have to install it after installing everything else.
Basically, you're forcing something that should not be compatible to install anyway, at least as a workaround until this issue can be resolved some other way (likely in the CTranslate package). |
I have been trying to get whisperX to work on my GTX 970, but have been running into a myriad of problems. Please bear with me as I’m a beginner in all things programming.
I followed all the installation instructions to the letter and then ran the following command:
whisperx.exe "C:\Users\Justin\Music\Kraft Punk Soundbites\WAV\Hey what's up_ I'm Kraft Punk.wav" --model large-v2 --device cuda --batch_size 1 --compute_type float32 --output_dir "C:\Users\Justin\Desktop\" --language en --diarize --min_speakers 1 --max_speakers 1 --hf_token XXXXXXXXXXXXXXXXX
I then ran into the following error:
I did run some basic diagnostics to check if CUDA is available:
Also ran nvidia-smi:
I have asked the NVIDIA Developer Forum, but they say it's not a CUDA error:
I'm at a loss and would really appreciate any help :)
The text was updated successfully, but these errors were encountered: