Is there an existing issue for this?
Current Behavior
When running the gpu tagged image, I get an error in the container that the CUDA driver version is insufficient for CUDA runtime version.
But unless I am mistaken, the image uses cudnn-cu12 and cublas-cu12, which should be compatible with NVIDIA-SMI 550.120 Driver Version: 550.120 CUDA Version: 12.4 that I run
Any ideas?
Expected Behavior
No response
Steps To Reproduce
- run the image in the environment described below
Environment
- OS:Ubuntu 24.04.1 LTS
- How docker service was installed: docker repo
- GPU: Nvidia RTX A4000
- nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Fri_Jan__6_16:45:21_PST_2023
Cuda compilation tools, release 12.0, V12.0.140
Build cuda_12.0.r12.0/compiler.32267302_0
- nvidia-smi: NVIDIA-SMI 550.120 Driver Version: 550.120 CUDA Version: 12.4
CPU architecture
x86-64
Docker creation
services:
faster-whisper:
image: lscr.io/linuxserver/faster-whisper:gpu
container_name: faster-whisper
environment:
- PUID=1000
- PGID=1000
- TZ=Etc/UTC
- WHISPER_MODEL=tiny-int8
- WHISPER_BEAM=1 #optional
- WHISPER_LANG=nl #optional
volumes:
- /mnt/local/container_data/whisper/data2:/config
ports:
- 10300:10300
deploy:
resources:
reservations:
generic_resources:
- discrete_resource_spec:
kind: "NVIDIA-GPU"
value: 1
Container logs
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/lsiopy/lib/python3.12/site-packages/wyoming_faster_whisper/__main__.py", line 149, in <module>
run()
File "/lsiopy/lib/python3.12/site-packages/wyoming_faster_whisper/__main__.py", line 144, in run
asyncio.run(main())
File "/usr/lib/python3.12/asyncio/runners.py", line 194, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/asyncio/base_events.py", line 687, in run_until_complete
return future.result()
^^^^^^^^^^^^^^^
File "/lsiopy/lib/python3.12/site-packages/wyoming_faster_whisper/__main__.py", line 119, in main
whisper_model = faster_whisper.WhisperModel(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/lsiopy/lib/python3.12/site-packages/faster_whisper/transcribe.py", line 133, in __init__
self.model = ctranslate2.models.Whisper(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: CUDA failed with error CUDA driver version is insufficient for CUDA runtime version
Is there an existing issue for this?
Current Behavior
When running the gpu tagged image, I get an error in the container that the CUDA driver version is insufficient for CUDA runtime version.
But unless I am mistaken, the image uses cudnn-cu12 and cublas-cu12, which should be compatible with NVIDIA-SMI 550.120 Driver Version: 550.120 CUDA Version: 12.4 that I run
Any ideas?
Expected Behavior
No response
Steps To Reproduce
Environment
CPU architecture
x86-64
Docker creation
services: faster-whisper: image: lscr.io/linuxserver/faster-whisper:gpu container_name: faster-whisper environment: - PUID=1000 - PGID=1000 - TZ=Etc/UTC - WHISPER_MODEL=tiny-int8 - WHISPER_BEAM=1 #optional - WHISPER_LANG=nl #optional volumes: - /mnt/local/container_data/whisper/data2:/config ports: - 10300:10300 deploy: resources: reservations: generic_resources: - discrete_resource_spec: kind: "NVIDIA-GPU" value: 1Container logs