fix eval iter

TTS/bin/train_align_tts.py

@@ -309,19 +309,25 @@ if __name__ == '__main__':
 
                 # forward pass model
                 with torch.cuda.amp.autocast(enabled=c.mixed_precision):
-                    decoder_output, dur_output, dur_mas_output, alignments, mu, log_sigma, logp_max_path = model.forward(
+                    decoder_output, dur_output, dur_mas_output, alignments, _, _, logp = model.forward(
                         text_input,
                         text_lengths,
                         mel_targets,
                         mel_lengths,
-                        g=speaker_c)
+                        g=speaker_c,
+                        phase=training_phase)
+
+                # compute loss
+                loss_dict = criterion(logp,
+                                      decoder_output,
+                                      mel_targets,
+                                      mel_lengths,
+                                      dur_output,
+                                      dur_mas_output,
+                                      text_lengths,
+                                      global_step,
+                                      phase=training_phase)
 
-                    # compute loss
-                    loss_dict = criterion(mu, log_sigma, logp_max_path,
-                                          decoder_output, mel_targets,
-                                          mel_lengths, dur_output,
-                                          dur_mas_output, text_lengths,
-                                          global_step, training_phase)
 
                 # step time
                 step_time = time.time() - start_time