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Format code (#330)

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2023-05-21 19:19:53 +08:00
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parent 067731db9b
commit cfd9848128
6 changed files with 39 additions and 22 deletions
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8
infer_pack/models_onnx.py
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@@ -633,14 +633,14 @@ class SynthesizerTrnMsNSFsidM(nn.Module):
self.speaker_map = self.speaker_map.unsqueeze(0)
def forward(self, phone, phone_lengths, pitch, nsff0, g, rnd, max_len=None):
if self.speaker_map is not None: # [N, S] * [S, B, 1, H]
if self.speaker_map is not None: # [N, S] * [S, B, 1, H]
g = g.reshape((g.shape[0], g.shape[1], 1, 1, 1)) # [N, S, B, 1, 1]
g = g * self.speaker_map # [N, S, B, 1, H]
g = torch.sum(g, dim=1) # [N, 1, B, 1, H]
g = g.transpose(0, -1).transpose(0, -2).squeeze(0) # [B, H, N]
g = torch.sum(g, dim=1) # [N, 1, B, 1, H]
g = g.transpose(0, -1).transpose(0, -2).squeeze(0) # [B, H, N]
else:
g = g.unsqueeze(0)
g = self.emb_g(g).transpose(1,2)
g = self.emb_g(g).transpose(1, 2)
m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths)
z_p = (m_p + torch.exp(logs_p) * rnd) * x_mask