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https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI.git
synced 2026-06-10 21:24:16 +08:00
optimize: 精简未用到的配置项并在特征提取初步引入mps (#32)
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@@ -58,7 +58,7 @@ class VC(object):
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def vc(self,model,net_g,sid,audio0,pitch,pitchf,times,index,big_npy,index_rate):#,file_index,file_big_npy
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feats = torch.from_numpy(audio0)
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if(self.is_half==True):feats=feats.half()
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if(self.is_half):feats=feats.half()
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else:feats=feats.float()
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if feats.dim() == 2: # double channels
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feats = feats.mean(-1)
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@@ -78,10 +78,10 @@ class VC(object):
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if(isinstance(index,type(None))==False and isinstance(big_npy,type(None))==False and index_rate!=0):
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npy = feats[0].cpu().numpy()
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if(self.is_half==True):npy=npy.astype("float32")
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if(self.is_half):npy=npy.astype("float32")
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_, I = index.search(npy, 1)
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npy=big_npy[I.squeeze()]
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if(self.is_half==True):npy=npy.astype("float16")
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if(self.is_half):npy=npy.astype("float16")
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feats = torch.from_numpy(npy).unsqueeze(0).to(self.device)*index_rate + (1-index_rate)*feats
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feats = F.interpolate(feats.permute(0, 2, 1), scale_factor=2).permute(0, 2, 1)
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