carry to cuda

train.py

@@ -100,6 +100,8 @@ def train(model, criterion, criterion_st, data_loader, optimizer, epoch):
             mel_spec = mel_spec.cuda()
             mel_lengths = mel_lengths.cuda()
             linear_spec = linear_spec.cuda()
+            stop_target = stop_target.cuda()
+            
             
         # create attention mask
         if c.mk > 0.0:
@@ -241,6 +243,7 @@ def evaluate(model, criterion, criterion_st, data_loader, current_step):
                 mel_spec = mel_spec.cuda()
                 mel_lengths = mel_lengths.cuda()
                 linear_spec = linear_spec.cuda()
+                stop_target = stop_target.cuda()
 
             # forward pass
             mel_output, linear_output, alignments, stop_tokens =\