stop token prediction update for tacotron model

models/tacotron.py

@@ -14,7 +14,7 @@ class Tacotron(nn.Module):
         self.linear_dim = linear_dim
         self.embedding = nn.Embedding(len(symbols), embedding_dim,
                                       padding_idx=padding_idx)
-        print(" | > Number of characted : {}".format(len(symbols)))
+        print(" | > Number of characters : {}".format(len(symbols)))
         self.embedding.weight.data.normal_(0, 0.3)
         self.encoder = Encoder(embedding_dim)
         self.decoder = Decoder(256, mel_dim, r)
@@ -27,11 +27,11 @@ class Tacotron(nn.Module):
         # batch x time x dim
         encoder_outputs = self.encoder(inputs)
         # batch x time x dim*r
-        mel_outputs, alignments = self.decoder(
+        mel_outputs, alignments, stop_tokens = self.decoder(
             encoder_outputs, mel_specs)
         # Reshape
         # batch x time x dim
         mel_outputs = mel_outputs.view(B, -1, self.mel_dim)
         linear_outputs = self.postnet(mel_outputs)
         linear_outputs = self.last_linear(linear_outputs)
-        return mel_outputs, linear_outputs, alignments
+        return mel_outputs, linear_outputs, alignments, stop_tokens