RVC/Retrieval-based-Voice-Conversion-WebUI
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chore(format): run black on dev (#1638)

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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github-actions[bot]
2023-12-26 22:03:02 +09:00
committed by GitHub
parent 997a956f4f
commit 5449f84f06
4 changed files with 102 additions and 71 deletions
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20
infer/lib/infer_pack/models.py
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@@ -795,9 +795,9 @@ class SynthesizerTrnMs256NSFsid(nn.Module):
assert isinstance(return_length, torch.Tensor)
head = int(skip_head.item())
length = int(return_length.item())
z_p = z_p[:, :, head: head + length]
x_mask = x_mask[:, :, head: head + length]
nsff0 = nsff0[:, head: head + length]
z_p = z_p[:, :, head : head + length]
x_mask = x_mask[:, :, head : head + length]
nsff0 = nsff0[:, head : head + length]
z = self.flow(z_p, x_mask, g=g, reverse=True)
o = self.dec(z * x_mask, nsff0, g=g)
return o, x_mask, (z, z_p, m_p, logs_p)
@@ -957,9 +957,9 @@ class SynthesizerTrnMs768NSFsid(nn.Module):
assert isinstance(return_length, torch.Tensor)
head = int(skip_head.item())
length = int(return_length.item())
z_p = z_p[:, :, head: head + length]
x_mask = x_mask[:, :, head: head + length]
nsff0 = nsff0[:, head: head + length]
z_p = z_p[:, :, head : head + length]
x_mask = x_mask[:, :, head : head + length]
nsff0 = nsff0[:, head : head + length]
z = self.flow(z_p, x_mask, g=g, reverse=True)
o = self.dec(z * x_mask, nsff0, g=g)
return o, x_mask, (z, z_p, m_p, logs_p)
@@ -1108,8 +1108,8 @@ class SynthesizerTrnMs256NSFsid_nono(nn.Module):
assert isinstance(return_length, torch.Tensor)
head = int(skip_head.item())
length = int(return_length.item())
z_p = z_p[:, :, head: head + length]
x_mask = x_mask[:, :, head: head + length]
z_p = z_p[:, :, head : head + length]
x_mask = x_mask[:, :, head : head + length]
z = self.flow(z_p, x_mask, g=g, reverse=True)
o = self.dec(z * x_mask, g=g)
return o, x_mask, (z, z_p, m_p, logs_p)
@@ -1258,8 +1258,8 @@ class SynthesizerTrnMs768NSFsid_nono(nn.Module):
assert isinstance(return_length, torch.Tensor)
head = int(skip_head.item())
length = int(return_length.item())
z_p = z_p[:, :, head: head + length]
x_mask = x_mask[:, :, head: head + length]
z_p = z_p[:, :, head : head + length]
x_mask = x_mask[:, :, head : head + length]
z = self.flow(z_p, x_mask, g=g, reverse=True)
o = self.dec(z * x_mask, g=g)
return o, x_mask, (z, z_p, m_p, logs_p)