guided attn #11

train.py

@@ -128,8 +128,6 @@ def train(model, criterion, data_loader, optimizer, epoch):
             + 0.5 * criterion(linear_output[:, :, :n_priority_freq],
                               linear_spec_var[:, :, :n_priority_freq],
                               mel_lengths_var)
-        print(M.shape)
-        print(alignments.shape)
         attention_loss = criterion(alignments, M, mel_lengths_var)
         loss = mel_loss + linear_loss + 0.2 * attention_loss