gpu + transformers-musicgen

[dave-gray101]

it's been reported in discord that transformers-musicgen needs some changes to fully support GPU

• https://github.com/mudler/LocalAI/blob/master/backend/python/transformers/backend.py
  • It's already implemented in transformers
• https://github.com/huggingface/transformers/issues/2704
  • this may be useful reference if anything needs tweaking?

[fakezeta]

Hi @dave-gray101,

sadly I don't have the time to work on it right now. But I can leave some info here for someone with time and good will 😄

Changes needed are: In the LoadModel, SoundGeneration and TTS add

        self.CUDA = torch.cuda.is_available()

        if self.CUDA:
            if request.MainGPU:
                device_map=request.MainGPU
            else:
                device_map="cuda:0"

default to cuda:0 if user does not specify the GPU in the config file. Don't know why the model is loaded every time an inference is requested, probably here we can optimize.

Modify the call to from_pretrained adding the device_map

            self.processor = AutoProcessor.from_pretrained(model_name, device_map=device_map)
            self.model = MusicgenForConditionalGeneration.from_pretrained(model_name, device_map=device_map)

inputs must be on the same device used for inference:

        if self.CUDA:
            inputs = inputs.to("cuda")

To be added before the generate call in SoundGeneration and TTS This should be enough.

[dave-gray101]

Thanks a ton!

Once I finish up a handful of infra fixes, I'll take a stab at this.

Now that transformers already supports different ways to LoadModel anyway... it may be worth re-considering merging transformers-musicgen into transformers proper

[fakezeta]

Sure! We can implement other type: like musicgen, diffusers, and so on.

I think that this will help also in reducing building time and final docker image size.

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