mirror of
https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI.git
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30 lines
832 B
Python
30 lines
832 B
Python
import torch
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from rvc.synthesizers import SynthesizerTrnMsNSFsid
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def get_synthesizer_ckpt(cpt, device=torch.device("cpu")):
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cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]
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if_f0 = cpt.get("f0", 1)
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version = cpt.get("version", "v1")
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if version == "v1":
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encoder_dim = 256
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elif version == "v2":
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encoder_dim = 768
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net_g = SynthesizerTrnMsNSFsid(
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*cpt["config"], encoder_dim=encoder_dim, use_f0 = if_f0==1,
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)
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del net_g.enc_q
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net_g.load_state_dict(cpt["weight"], strict=False)
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net_g = net_g.float()
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net_g.eval().to(device)
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net_g.remove_weight_norm()
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return net_g, cpt
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def get_synthesizer(pth_path, device=torch.device("cpu")):
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return get_synthesizer_ckpt(
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torch.load(pth_path, map_location=torch.device("cpu")),
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device,
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)
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