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Retrieval-based-Voice-Conversion-WebUI
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Format code (#1002) 

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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github-actions[bot] 2023-08-14 14:24:25 +08:00 committed by GitHub
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commit 9bd0987815
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1 changed files with 5 additions and 4 deletions
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9
lib/infer_pack/models.py
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@ -414,19 +414,20 @@ class SourceModuleHnNSF(torch.nn.Module):
self.l_tanh = torch.nn.Tanh()
def forward(self, x, upp=None):
if hasattr(self,"ddtype")==False:
self.ddtype=self.l_linear.weight.dtype
if hasattr(self, "ddtype") == False:
self.ddtype = self.l_linear.weight.dtype
sine_wavs, uv, _ = self.l_sin_gen(x, upp)
# print(x.dtype,sine_wavs.dtype,self.l_linear.weight.dtype)
# if self.is_half:
# sine_wavs = sine_wavs.half()
# sine_merge = self.l_tanh(self.l_linear(sine_wavs.to(x)))
# print(sine_wavs.dtype,self.ddtype)
if(sine_wavs.dtype!=self.ddtype):
sine_wavs=sine_wavs.to(self.ddtype)
if sine_wavs.dtype != self.ddtype:
sine_wavs = sine_wavs.to(self.ddtype)
sine_merge = self.l_tanh(self.l_linear(sine_wavs))
return sine_merge, None, None # noise, uv
class GeneratorNSF(torch.nn.Module):
def __init__(
self,