debug 反量化 我发现flow里面有反量化的代码

models.py

@@ -665,12 +665,13 @@ class SynthesizerTrn(nn.Module):
             attn = monotonic_align.maximum_path(neg_cent, attn_mask.squeeze(1)).unsqueeze(1).detach()
 
         w = attn.sum(2)
-        # 反量化
-        w -= torch.rand_like(w)
 
         l_length_sdp = self.sdp(x, x_mask, w, g=g)
         l_length_sdp = l_length_sdp / torch.sum(x_mask)
         
+        # 反量化
+        w -= torch.rand_like(w)
+
         logw_ = torch.log(w + 1e-6) * x_mask
         logw = self.dp(x, x_mask, g=g)
         l_length_dp = torch.sum((logw - logw_) ** 2, [1, 2]) / torch.sum(x_mask)  # for averaging