[GH-ISSUE #641] GPU not found on UBUNTU 22.04.2 #373

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opened 2026-10-20 09:58:39 +00:00 by bsakaguchi · 3 comments

bsakaguchi commented

2026-10-20 09:58:39 +00:00

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Originally created by @ariikamusic on GitHub (Jun 27, 2023).
Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/641

Hi! I'm trying to train on Linux Ubuntu 22.04.2, and I have torch version 2.0.1+cu118, but for some reason it will not recognize my GPU. I have an NVIDIA 1660GTX SUPER. Any ideas?

Thanks in advance!

Originally created by @ariikamusic on GitHub (Jun 27, 2023). Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/641 Hi! I'm trying to train on Linux Ubuntu 22.04.2, and I have torch version 2.0.1+cu118, but for some reason it will not recognize my GPU. I have an NVIDIA 1660GTX SUPER. Any ideas? ![image](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/assets/135545749/f6f0252f-740b-4d32-8b0e-c0efd4987e1c) ![image](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/assets/135545749/41a36e07-b16b-4b2f-bab9-9ea4740b4c05) Thanks in advance!

bsakaguchi

2026-10-20 09:58:39 +00:00

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bsakaguchi commented

2026-10-20 09:58:40 +00:00

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@blackhole077 commented on GitHub (Jun 28, 2023):

@ariikamusic
First, this is likely an issue that is unrelated to this particular project unless you've trained models without issues previously. As such, let's go over some basic steps that may help troubleshoot the problem:

Check the nvidia-smi command and make sure your GPU shows up properly.
Check that you have the proper CUDA-related packages, such as CUDAToolkit, by running apt list --installed | grep cuda (you can replace cuda with other package names as well to check that you have them installed.
Check that you've installed the proper version of PyTorch.
Run the following Python code and determine if PyTorch can see your GPU:

import torch
print(f"PyTorch Version: {torch.__version__}")
print(f"GPUs Detected?: {torch.cuda.is_available()}")
print(f"Number of GPUs detected: {torch.cuda.device_count()}")
print(f"GPU 0 Device Information: {torch.cuda.get_device_name(0) if torch.cuda.is_available() else 'N/A'}")

or if you want a one-liner:

python -c "import torch;print(f'PyTorch Version: {torch.__version__}');print(f'GPUs Detected?: {torch.cuda.is_available()}');print(f'Number of GPUs detected: {torch.cuda.device_count()}');print(f'GPU 0 Device Information: {torch.cuda.get_device_name(0) if torch.cuda.is_available()} else None');"

Once you have more information we can continue debugging the problem. My current guess is that your installation of PyTorch is not correct, or that PyTorch 2.0 does not support your card (though that is unlikely).

@blackhole077 commented on GitHub (Jun 28, 2023): @ariikamusic First, this is likely an issue that is unrelated to this particular project unless you've trained models without issues previously. As such, let's go over some basic steps that may help troubleshoot the problem: 1. Check the `nvidia-smi` command and make sure your GPU shows up properly. 2. Check that you have the proper CUDA-related packages, such as CUDAToolkit, by running `apt list --installed | grep cuda` (you can replace `cuda` with other package names as well to check that you have them installed. 3. Check that you've installed the proper version of PyTorch. 4. Run the following Python code and determine if PyTorch can see your GPU: ```python import torch print(f"PyTorch Version: {torch.__version__}") print(f"GPUs Detected?: {torch.cuda.is_available()}") print(f"Number of GPUs detected: {torch.cuda.device_count()}") print(f"GPU 0 Device Information: {torch.cuda.get_device_name(0) if torch.cuda.is_available() else 'N/A'}") ``` or if you want a one-liner: ```shell python -c "import torch;print(f'PyTorch Version: {torch.__version__}');print(f'GPUs Detected?: {torch.cuda.is_available()}');print(f'Number of GPUs detected: {torch.cuda.device_count()}');print(f'GPU 0 Device Information: {torch.cuda.get_device_name(0) if torch.cuda.is_available()} else None');" ``` Once you have more information we can continue debugging the problem. My current guess is that your installation of PyTorch is not correct, or that PyTorch 2.0 does not support your card (though that is unlikely).

bsakaguchi commented

2026-10-20 09:58:40 +00:00

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@RVC-Boss commented on GitHub (Jun 29, 2023):

You installed CPU version pytorch environment.

@RVC-Boss commented on GitHub (Jun 29, 2023): You installed CPU version pytorch environment.

bsakaguchi commented

2026-10-20 09:58:40 +00:00

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@ariikamusic commented on GitHub (Jun 29, 2023):

@blackhole077 @RVC-Boss thank you for explaning! I will investigate the issue and try the solution you've provided me with. If any other issues occur, I will reply to the thread. I'm relatively new to Linux hahaha

@ariikamusic commented on GitHub (Jun 29, 2023): @blackhole077 @RVC-Boss thank you for explaning! I will investigate the issue and try the solution you've provided me with. If any other issues occur, I will reply to the thread. I'm relatively new to Linux hahaha