bug fix for stop token prediciton

layers/tacotron.py

@@ -476,6 +476,7 @@ class Decoder(nn.Module):
                 new_memory = outputs[-1]
                 self._update_memory_queue(new_memory)
             output, stop_token, attention = self.decode(inputs, t, None)
+            stop_token = torch.sigmoid(stop_token.data)
             outputs += [output]
             attentions += [attention]
             stop_tokens += [stop_token]
@@ -499,12 +500,10 @@ class StopNet(nn.Module):
         super(StopNet, self).__init__()
         self.dropout = nn.Dropout(0.1)
         self.linear = nn.Linear(in_features, 1)
-        self.sigmoid = nn.Sigmoid()
         torch.nn.init.xavier_uniform_(
             self.linear.weight, gain=torch.nn.init.calculate_gain('linear'))
 
     def forward(self, inputs):
         outputs = self.dropout(inputs)
         outputs = self.linear(outputs)
-        outputs = self.sigmoid(outputs)
         return outputs