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I'm using gpu-2.0.0-ls31, and just doing a basic call to the whisper library like i did on an older version (digging through to see what version I had been using 3 months ago). Seems the 3.12 python update has caused some issues.
docker run -it --rm --name subplz --gpus all -v /mnt/d/sync:/sync -v /home/ke/code/subplz/SyncCache:/app/SyncCache subplz:latest sync -d "/sync/test"
/lsiopy/lib/python3.12/site-packages/torch/cuda/init.py:118: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 500: named symbol not found (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:108.)
return torch._C._cuda_getDeviceCount() > 0
Expected Behavior
faster-whisper calls should be able to use the gpu on the gpu images
Steps To Reproduce
docker pull kanjieater/subplz
docker run -it --rm --name subplz --gpus all -v /mnt/d/sync:/sync -v /home/ke/code/subplz/SyncCache:/app/SyncCache subplz:latest sync -d "/sync/test"
Environment
- OS: Ubuntu 24:24
- How docker service was installed: WSL2 on Win 11
This issue has been automatically marked as stale because it has not had recent activity. This might be due to missing feedback from OP. It will be closed if no further activity occurs. Thank you for your contributions.
Is there an existing issue for this?
Current Behavior
I'm using gpu-2.0.0-ls31, and just doing a basic call to the whisper library like i did on an older version (digging through to see what version I had been using 3 months ago). Seems the 3.12 python update has caused some issues.
docker run -it --rm --name subplz --gpus all -v /mnt/d/sync:/sync -v /home/ke/code/subplz/SyncCache:/app/SyncCache subplz:latest sync -d "/sync/test"
/lsiopy/lib/python3.12/site-packages/torch/cuda/init.py:118: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 500: named symbol not found (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:108.)
return torch._C._cuda_getDeviceCount() > 0
Expected Behavior
faster-whisper calls should be able to use the gpu on the gpu images
Steps To Reproduce
Environment
CPU architecture
x86-64
Docker creation
1. docker pull kanjieater/subplz 2. docker run -it --rm --name subplz --gpus all -v /mnt/d/sync:/sync -v /home/ke/code/subplz/SyncCache:/app/SyncCache subplz:latest sync -d "/sync/test"
Container logs
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