bug fix for tacotron adapting it to new common layers

layers/tacotron.py

@@ -454,7 +454,7 @@ class Decoder(nn.Module):
             if t > 0:
                 new_memory = outputs[-1]
                 self._update_memory_queue(new_memory)
-            output, stop_token, attention = self.decode(inputs, t, None)
+            output, stop_token, attention = self.decode(inputs, None)
             stop_token = torch.sigmoid(stop_token.data)
             outputs += [output]
             attentions += [attention]

layers/tacotron2.py

@@ -113,7 +113,7 @@ class Decoder(nn.Module):
 
         self.prenet = Prenet(self.mel_channels * r, prenet_type,
                              prenet_dropout,
-                             [self.prenet_dim, self.prenet_dim])
+                             [self.prenet_dim, self.prenet_dim], bias=False)
 
         self.attention_rnn = nn.LSTMCell(self.prenet_dim + in_features,
                                          self.attention_rnn_dim)