mirror of
https://github.com/w-okada/voice-changer.git
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41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
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import torch
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from torch import device
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from const import EnumInferenceTypes
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from voice_changer.RVC.inferencer.Inferencer import Inferencer
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from voice_changer.RVC.deviceManager.DeviceManager import DeviceManager
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from .model_v3.models import SynthesizerTrnMs256NSFSid
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class RVCInferencerv3(Inferencer):
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def loadModel(self, file: str, gpu: device):
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print("nadare v3 load start")
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super().setProps(EnumInferenceTypes.pyTorchRVCv3, file, True, gpu)
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dev = DeviceManager.get_instance().getDevice(gpu)
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isHalf = False # DeviceManager.get_instance().halfPrecisionAvailable(gpu)
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cpt = torch.load(file, map_location="cpu")
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model = SynthesizerTrnMs256NSFSid(**cpt["params"])
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model.eval()
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model.load_state_dict(cpt["weight"], strict=False)
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model = model.to(dev)
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if isHalf:
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model = model.half()
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self.model = model
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print("load model comprete")
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return self
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def infer(
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self,
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feats: torch.Tensor,
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pitch_length: torch.Tensor,
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pitch: torch.Tensor,
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pitchf: torch.Tensor,
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sid: torch.Tensor,
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) -> torch.Tensor:
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return self.model.infer(feats, pitch_length, pitch, pitchf, sid)
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