refactor: remove unnecessary transpositions (#488)

ChatTTS/model/dvae.py

@@ -154,17 +154,16 @@ def __init__(
         )
         self.conv_out = nn.Conv1d(hidden, odim, kernel_size=1, bias=False)
 
-    def forward(self, input: torch.Tensor, conditioning=None) -> torch.Tensor:
-        # B, T, C
-        x = input.transpose_(1, 2)
+    def forward(self, x: torch.Tensor, conditioning=None) -> torch.Tensor:
+        # B, C, T
         y = self.conv_in(x)
         del x
         for f in self.decoder_block:
             y = f(y, conditioning)
 
         x = self.conv_out(y)
         del y
-        return x.transpose_(1, 2)
+        return x
 
 
 class DVAE(nn.Module):
@@ -214,8 +213,8 @@ def forward(self, inp: torch.Tensor) -> torch.Tensor:
 
             dec_out = self.out_conv(
                 self.decoder(
-                    input=vq_feats.transpose_(1, 2),
-                ).transpose_(1, 2),
+                    x=vq_feats,
+                ),
             )
 
             return torch.mul(dec_out, self.coef, out=dec_out)