Avoid deprecation warnings (#1861)

Author: beneyal

allennlp/models/reading_comprehension/dialog_qa.py

@@ -270,10 +270,10 @@ def forward(self,  # type: ignore
                                                                           repeated_passage_mask))
         self_attention_matrix = self._self_attention(residual_layer, residual_layer)
 
-        mask = repeated_passage_mask.resize(total_qa_count, passage_length, 1) \
-               * repeated_passage_mask.resize(total_qa_count, 1, passage_length)
+        mask = repeated_passage_mask.reshape(total_qa_count, passage_length, 1) \
+               * repeated_passage_mask.reshape(total_qa_count, 1, passage_length)
         self_mask = torch.eye(passage_length, passage_length, device=self_attention_matrix.device)
-        self_mask = self_mask.resize(1, passage_length, passage_length)
+        self_mask = self_mask.reshape(1, passage_length, passage_length)
         mask = mask * (1 - self_mask)
 
         self_attention_probs = util.masked_softmax(self_attention_matrix, mask)

allennlp/tests/nn/chu_liu_edmonds_test.py

@@ -75,6 +75,6 @@ def test_mst(self):
             decode_mst(energy, 5, has_labels=False)
 
     def test_mst_finds_maximum_spanning_tree(self):
-        energy = torch.range(1, 9).view(1, 3, 3)
+        energy = torch.arange(1, 10).view(1, 3, 3)
         heads, _ = decode_mst(energy.numpy(), 3) # pylint: disable=protected-access
         assert list(heads) == [-1, 2, 0]