fix xlnet & transfotests

tests/test_modeling_tf_transfo_xl.py

@@ -519,20 +519,10 @@ class TFTransfoXLModelLanguageGenerationTest(unittest.TestCase):
             24,
             24,
             0,
-            29546,
-            40,
-            1092,
-            18,
-            8,
-            5854,
-            7,
-            1143,
-            2,
-            7,
+            33,
             1,
-            159,
-            99,
-            16,
+            1857,
+            2,
             1,
             1009,
             4,

tests/test_modeling_tf_xlnet.py

@@ -760,20 +760,10 @@ class TFXLNetModelLanguageGenerationTest(unittest.TestCase):
             9,
             4,
             3,
-            1722,
-            19,
-            24,
-            6348,
-            61,
-            977,
-            176,
-            1772,
-            33,
-            45,
-            970,
-            19,
-            4185,
             19,
+            12943,
+            4354,
+            153,
             27,
             442,
             22,

tests/test_modeling_transfo_xl.py

@@ -376,6 +376,7 @@ class TransfoXLModelLanguageGenerationTest(unittest.TestCase):
         #  father initially slaps him for making such an accusation , Rasputin watches as the
         #  man is chased outside and beaten . Twenty years later , Rasputin sees a vision of
         #  the Virgin Mary , prompting him to become a priest . Rasputin quickly becomes famous ,
+
         #  with people , even a bishop , begging for his blessing . <eod> </s> <eos>
 
         expected_output_ids = [
@@ -520,20 +521,10 @@ class TransfoXLModelLanguageGenerationTest(unittest.TestCase):
             24,
             24,
             0,
-            29546,
-            40,
-            1092,
-            18,
-            8,
-            5854,
-            7,
-            1143,
-            2,
-            7,
+            33,
             1,
-            159,
-            99,
-            16,
+            1857,
+            2,
             1,
             1009,
             4,

tests/test_modeling_xlnet.py

@@ -119,11 +119,11 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
 
             input_ids_q = ids_tensor([self.batch_size, self.seq_length + 1], self.vocab_size)
             perm_mask = torch.zeros(
-                self.batch_size, self.seq_length + 1, self.seq_length + 1, dtype=torch.float, device=torch_device
+                self.batch_size, self.seq_length + 1, self.seq_length + 1, dtype=torch.float, device=torch_device,
             )
             perm_mask[:, :, -1] = 1.0  # Previous tokens don't see last token
             target_mapping = torch.zeros(
-                self.batch_size, 1, self.seq_length + 1, dtype=torch.float, device=torch_device
+                self.batch_size, 1, self.seq_length + 1, dtype=torch.float, device=torch_device,
             )
             target_mapping[:, 0, -1] = 1.0  # predict last token
 
@@ -212,7 +212,7 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
             self.parent.assertEqual(len(no_mems_outputs), 1)
 
             self.parent.assertListEqual(
-                list(result["outputs"].size()), [self.batch_size, self.seq_length, self.hidden_size]
+                list(result["outputs"].size()), [self.batch_size, self.seq_length, self.hidden_size],
             )
             self.parent.assertListEqual(
                 list(list(mem.size()) for mem in result["mems_1"]),
@@ -283,7 +283,7 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
 
             self.parent.assertListEqual(list(result["loss_1"].size()), [])
             self.parent.assertListEqual(
-                list(result["all_logits_1"].size()), [self.batch_size, self.seq_length, self.vocab_size]
+                list(result["all_logits_1"].size()), [self.batch_size, self.seq_length, self.vocab_size],
             )
             self.parent.assertListEqual(
                 list(list(mem.size()) for mem in result["mems_1"]),
@@ -292,7 +292,7 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
 
             self.parent.assertListEqual(list(result["loss_2"].size()), [])
             self.parent.assertListEqual(
-                list(result["all_logits_2"].size()), [self.batch_size, self.seq_length, self.vocab_size]
+                list(result["all_logits_2"].size()), [self.batch_size, self.seq_length, self.vocab_size],
             )
             self.parent.assertListEqual(
                 list(list(mem.size()) for mem in result["mems_2"]),
@@ -319,7 +319,7 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
             model.eval()
 
             outputs = model(input_ids_1)
-            start_top_log_probs, start_top_index, end_top_log_probs, end_top_index, cls_logits, mems = outputs
+            (start_top_log_probs, start_top_index, end_top_log_probs, end_top_index, cls_logits, mems,) = outputs
 
             outputs = model(
                 input_ids_1,
@@ -340,7 +340,7 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
 
             total_loss, mems = outputs
 
-            outputs = model(input_ids_1, start_positions=sequence_labels, end_positions=sequence_labels)
+            outputs = model(input_ids_1, start_positions=sequence_labels, end_positions=sequence_labels,)
 
             total_loss, mems = outputs
 
@@ -356,10 +356,10 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
 
             self.parent.assertListEqual(list(result["loss"].size()), [])
             self.parent.assertListEqual(
-                list(result["start_top_log_probs"].size()), [self.batch_size, model.config.start_n_top]
+                list(result["start_top_log_probs"].size()), [self.batch_size, model.config.start_n_top],
             )
             self.parent.assertListEqual(
-                list(result["start_top_index"].size()), [self.batch_size, model.config.start_n_top]
+                list(result["start_top_index"].size()), [self.batch_size, model.config.start_n_top],
             )
             self.parent.assertListEqual(
                 list(result["end_top_log_probs"].size()),
@@ -405,7 +405,7 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
 
             self.parent.assertListEqual(list(result["loss"].size()), [])
             self.parent.assertListEqual(
-                list(result["logits"].size()), [self.batch_size, self.seq_length, self.type_sequence_label_size]
+                list(result["logits"].size()), [self.batch_size, self.seq_length, self.type_sequence_label_size],
             )
             self.parent.assertListEqual(
                 list(list(mem.size()) for mem in result["mems_1"]),
@@ -442,7 +442,7 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
 
             self.parent.assertListEqual(list(result["loss"].size()), [])
             self.parent.assertListEqual(
-                list(result["logits"].size()), [self.batch_size, self.type_sequence_label_size]
+                list(result["logits"].size()), [self.batch_size, self.type_sequence_label_size],
             )
             self.parent.assertListEqual(
                 list(list(mem.size()) for mem in result["mems_1"]),
@@ -859,20 +859,10 @@ class XLNetModelLanguageGenerationTest(unittest.TestCase):
             9,
             4,
             3,
-            1722,
-            19,
-            24,
-            6348,
-            61,
-            977,
-            176,
-            1772,
-            33,
-            45,
-            970,
-            19,
-            4185,
             19,
+            12943,
+            4354,
+            153,
             27,
             442,
             22,
@@ -922,5 +912,4 @@ class XLNetModelLanguageGenerationTest(unittest.TestCase):
         # the men are forced to leave the monastery. Rasputin is forced to return to
 
         output_ids = model.generate(input_ids, max_length=200, do_sample=False)
-
         self.assertListEqual(output_ids[0].tolist(), expected_output_ids)