add .gitignore in the alldata directory

trainer/test.py

@@ -29,12 +29,12 @@ def validation(model, criterion, evaluation_loader, converter, opt, device):
         # For max length prediction
         length_for_pred = torch.IntTensor([opt.batch_max_length] * batch_size).to(device)
         text_for_pred = torch.LongTensor(batch_size, opt.batch_max_length + 1).fill_(0).to(device)
-
         text_for_loss, length_for_loss = converter.encode(labels, batch_max_length=opt.batch_max_length)
         
         start_time = time.time()
         if 'CTC' in opt.Prediction:
             preds = model(image, text_for_pred)
+            # print(f"preds shape : {preds.shape}")
             forward_time = time.time() - start_time
 
             # Calculate evaluation loss for CTC decoder.