satisfy travis

models/multitask_question_answering_network.py

@@ -169,7 +169,7 @@ class MultitaskQuestionAnsweringNetwork(nn.Module):
                 batch_size = targets.size(0)
                 reference_lengths = [l-1 for l in answer_lengths]
                 translation_len = max(reference_lengths)
-                translation_lengths = torch.Tensor([translation_len] * batch_size, device=self.device)
+                translation_lengths = torch.tensor([translation_len] * batch_size, device=self.device)
 
                 bleu_loss_smoothed = expectedMultiBleu.bleu(probs, targets, translation_lengths, reference_lengths, max_order=max_order, smooth=True)
                 loss = -1 * bleu_loss_smoothed[0]

text/torchtext/datasets/generic.py

@@ -613,6 +613,7 @@ class WikiSQL(CQA, data.Dataset):
             lower=False, numerical=True, eos_token=field.eos_token, init_token=field.init_token)
         fields.append(('wikisql_id', FIELD))
 
+        cached_path = kwargs.pop('cached_path')
         cache_name = os.path.join(cached_path, os.path.dirname(path).strip("/"), '.cache', 'query_as_question' if query_as_question else 'query_as_context', os.path.basename(path), str(subsample))
         skip_cache_bool = kwargs.pop('skip_cache_bool')
         if os.path.exists(cache_name) and not skip_cache_bool: