Update models.py
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@@ -538,7 +538,10 @@ class SynthesizerTrn(nn.Module):
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self.n_layers_trans_flow = n_layers_trans_flow
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self.use_sdp = use_sdp
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self.use_noise_scaled_mas = kwargs.get("use_noise_scaled_mas", False)
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self.mas_noise_scale_initial = kwargs.get("mas_noise_scale_initial", 0.01)
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self.noise_scale_delta = kwargs.get("noise_scale_delta", 2e-6)
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self.current_mas_noise_scale = self.mas_noise_scale_initial
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self.enc_p = TextEncoder(n_vocab,
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inter_channels,
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hidden_channels,
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@@ -583,6 +586,9 @@ class SynthesizerTrn(nn.Module):
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neg_cent3 = torch.matmul(z_p.transpose(1, 2), (m_p * s_p_sq_r)) # [b, t_t, d] x [b, d, t_s] = [b, t_t, t_s]
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neg_cent4 = torch.sum(-0.5 * (m_p ** 2) * s_p_sq_r, [1], keepdim=True) # [b, 1, t_s]
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neg_cent = neg_cent1 + neg_cent2 + neg_cent3 + neg_cent4
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if self.use_noise_scaled_mas:
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epsilon = torch.sum(logs_p, dim=1).exp() * torch.randn_like(neg_cent) * self.current_mas_noise_scale
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neg_cent = neg_cent + epsilon
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attn_mask = torch.unsqueeze(x_mask, 2) * torch.unsqueeze(y_mask, -1)
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attn = monotonic_align.maximum_path(neg_cent, attn_mask.squeeze(1)).unsqueeze(1).detach()
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