Torch not compiled with CUDA enabled (on RTX 3060 6gb card with cuda 12.1 installed)

[syedusama5556]

Describe the bug Torch not compiled with CUDA enabled

C:\Users\user1\Documents\Voice-Clonning>svc infer "C:\\Users\\user1\\Documents\\Voice-Clonning\\Waiting_for_Rain_30sec.wav" --speaker "tokaiteio" -c "C:\Users\user1\Documents\Voice-Clonning\AllVoices\Tokai-Teio\config.json" -m "C:\Users\user1\Documents\Voice-Clonning\AllVoices\Tokai-Teio\G_531200.pth" -d cuda
Traceback (most recent call last):
  File "C:\Users\user1\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\Users\user1\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\Scripts\svc.exe\__main__.py", line 7, in <module>
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\click\core.py", line 1130, in __call__    return self.main(*args, **kwargs)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\click\core.py", line 1055, in main
    rv = self.invoke(ctx)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\click\core.py", line 1657, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\click\core.py", line 1404, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\click\core.py", line 760, in invoke
    return __callback(*args, **kwargs)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\so_vits_svc_fork\__main__.py", line 248, in infer
    infer(
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\so_vits_svc_fork\inference\main.py", line 46, in infer
    svc_model = Svc(
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\so_vits_svc_fork\inference\core.py", line 109, in __init__
    self.hubert_model = utils.get_hubert_model(
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\so_vits_svc_fork\utils.py", line 154, in get_hubert_model
    ).to(device)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\transformers\modeling_utils.py", line 1896, in to
    return super().to(*args, **kwargs)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\torch\nn\modules\module.py", line 1145, in to
    return self._apply(convert)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
    module._apply(fn)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
    module._apply(fn)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
    module._apply(fn)
  [Previous line repeated 1 more time]
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply
    param_applied = fn(param)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert
    return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
  File "C:\Users\user1\Documents\Voice-Clonning\venv\lib\site-packages\torch\cuda\__init__.py", line 239, in _lazy_init
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

when i run the code on gpu by adding -d cuda this error comes and i have a RTX 3060 6gb card with cuda 12.1 installed

To Reproduce

i ran the following command

svc infer "C:\\Users\\user1\\Documents\\Voice-Clonning\\Waiting_for_Rain_30sec.wav" --speaker "tokaiteio" -c "C:\Users\user1\Documents\Voice-Clonning\AllVoices\Tokai-Teio\config.json" -m "C:\Users\user1\Documents\Voice-Clonning\AllVoices\Tokai-Teio\G_531200.pth" -d cuda

Additional context

nvidia-smi result

+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 531.61                 Driver Version: 531.61       CUDA Version: 12.1     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                      TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf            Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  NVIDIA GeForce RTX 3060 L...  WDDM | 00000000:01:00.0 Off |                  N/A |
| N/A   51C    P0               27W /  N/A|      0MiB /  6144MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+

+---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|  No running processes found                                                           |
+---------------------------------------------------------------------------------------+

[Lordmau5]

From my understanding CUDA 12.1 is not supported.

Can you try installing CUDA 11.8 and cuDNN for 11.8? (I don't know which version it was again)

[GarrettConway]

Just a note, I personally run this on cuda 12.1 myself. In general, I would expect "Torch not compiled with CUDA enabled" issues to just be a bad install of torch. I would try manually installing torch from https://pytorch.org/ into your conda env. I'm not sure at the moment how reliable the pip installer is at choosing the right torch version, however, since I always manually install my torch.

[Lordmau5]

Judging by this issue I don't even think installing CUDA Toolkit and cuDNN is necessary even https://github.com/voicepaw/so-vits-svc-fork/issues/499

So yeah, maybe a reinstall of pytorch could already fix it?

[MikuAuahDark]

Hello, I'm using RTX 3060 laptop version 3.7.2 and both infer and train works correctly even nvidia-smi says CUDA 12.1.

For this case, follow the PyTorch installation instruction correctly https://pytorch.org/get-started/locally/

pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu118

The additional --index-url https://download.pytorch.org/whl/cu118 is the most important.