fix speaker dim inference

TTS/tts/models/tacotron2.py

@@ -255,6 +255,7 @@ class Tacotron2(TacotronAbstract):
         if self.num_speakers > 1:
             if not self.embeddings_per_sample:
                 speaker_embeddings = self.speaker_embedding(speaker_ids)[:, None]
+                speaker_embeddings = torch.unsqueeze(speaker_embeddings, 0).transpose(1, 2)
             encoder_outputs = self._concat_speaker_embedding(encoder_outputs, speaker_embeddings)
 
         decoder_outputs, alignments, stop_tokens = self.decoder.inference(encoder_outputs)