Support AMD GPUs on Windows

[34j]

Is your feature request related to a problem? Please describe.
AMD GPUs not supported on Windows

Describe the solution you'd like
AMD GPUs not supported on Windows

Additional context

[pierluigizagaria]

I'm trying to get this version working. I've installed the CPU version of torch because there is not installation for ROCm on Win.
After installing with pip install -U git+https://github.com/34j/so-vits-svc-fork.git@feat/openml this error occurs after using svc train

Traceback (most recent call last):
  File "C:\Python310\lib\runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\Python310\lib\runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "D:\Files\Code\python\so-vits-svc-fork\venv\Scripts\svc.exe\__main__.py", line 7, in <module>
  File "D:\Files\Code\python\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1130, in __call__
    return self.main(*args, **kwargs)
  File "D:\Files\Code\python\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1055, in main
    rv = self.invoke(ctx)
  File "D:\Files\Code\python\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1657, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "D:\Files\Code\python\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 1404, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "D:\Files\Code\python\so-vits-svc-fork\venv\lib\site-packages\click\core.py", line 760, in invoke
    return __callback(*args, **kwargs)
  File "D:\Files\Code\python\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork\__main__.py", line 130, in train
    train(config_path=config_path, model_path=model_path)
  File "D:\Files\Code\python\so-vits-svc-fork\venv\lib\site-packages\so_vits_svc_fork\train.py", line 41, in train
    raise RuntimeError("CUDA is not available.")
RuntimeError: CUDA is not available.

After commenting the two lines in train.py

    #if not torch.cuda.is_available():
        #raise RuntimeError("CUDA is not available.")

This is the output of the command. The training does not start at all.

(venv) PS D:\Files\Code\python\so-vits-svc-fork> svc train
[17:19:29] INFO     [17:19:29] Version: 1.3.3                                                                                                                                                   __main__.py:49
Downloading D_0.pth: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 178M/178M [00:04<00:00, 41.2MiB/s]
Downloading G_0.pth: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 172M/172M [00:03<00:00, 47.8MiB/s]
(venv) PS D:\Files\Code\python\so-vits-svc-fork> 

[34j]

Could you remove that part, pip install torch-openml and try again?

[pierluigizagaria]

Nothing found, I tried with pip install openml-pytorch but nothing changed

[34j]

Understood. I failed.

[pierluigizagaria]

Sure I did it, in fact no CUDA error is printed, but the command does nothing, it ends straight away

[34j]

https://github.com/34j/so-vits-svc-fork/blob/d7ab45010e73e63b765e9bd24c2635c2d18239be/src/so_vits_svc_fork/utils.py#L31
Can you check if this part is working? print(devices)

[34j]

Did svc pre-hubert work correctly?

[pierluigizagaria]

Yes hubert worked but no GPU was used

[pierluigizagaria]

But in this branch realtime inference works on GPU

edit.
Not really

[34j]

@allcontributors add pierluigizagaria userTesting