add special tokens to pretrain configs of respective lm head models

tests/test_modeling_gpt2.py

@@ -263,14 +263,8 @@ class GPT2ModelTest(ModelTesterMixin, unittest.TestCase):
             self.assertIsNotNone(model)
 
 
-def prepare_generation_special_tokens():
-    return {"bos_token_id": 50256, "eos_token_id": 50256}
-
-
 class GPT2ModelLanguageGenerationTest(unittest.TestCase):
 
-    special_tokens = prepare_generation_special_tokens()
-
     @slow
     def test_lm_generate_gpt2(self):
         model = GPT2LMHeadModel.from_pretrained("gpt2")
@@ -299,11 +293,7 @@ class GPT2ModelLanguageGenerationTest(unittest.TestCase):
         ]  # The dog is cute too. It likes to rub on me and is good for me (the dog
         torch.manual_seed(0)
 
-        output_ids = model.generate(
-            input_ids,
-            bos_token_id=self.special_tokens["bos_token_id"],
-            eos_token_ids=self.special_tokens["eos_token_id"],
-        )
+        output_ids = model.generate(input_ids)
 
         self.assertListEqual(output_ids[0].tolist(), expected_output_ids)
 
@@ -335,10 +325,5 @@ class GPT2ModelLanguageGenerationTest(unittest.TestCase):
         ]  # The dog is cute though he can sometimes just walk in the park. It is not very nice to
         torch.manual_seed(0)
 
-        output_ids = model.generate(
-            input_ids,
-            bos_token_id=self.special_tokens["bos_token_id"],
-            eos_token_ids=self.special_tokens["eos_token_id"],
-        )
-
+        output_ids = model.generate(input_ids)
         self.assertListEqual(output_ids[0].tolist(), expected_output_ids)

tests/test_modeling_transfo_xl.py

@@ -214,14 +214,8 @@ class TransfoXLModelTest(ModelTesterMixin, unittest.TestCase):
             self.assertIsNotNone(model)
 
 
-def prepare_generation_special_tokens():
-    return {"eos_token_id": 0}
-
-
 class TransfoXLModelLanguageGenerationTest(unittest.TestCase):
 
-    special_tokens = prepare_generation_special_tokens()
-
     @slow
     def test_lm_generate_transfo_xl_wt103(self):
         model = TransfoXLLMHeadModel.from_pretrained("transfo-xl-wt103")
@@ -578,6 +572,5 @@ class TransfoXLModelLanguageGenerationTest(unittest.TestCase):
 
         torch.manual_seed(0)
 
-        output_ids = model.generate(input_ids, eos_token_ids=self.special_tokens["eos_token_id"], max_length=200)
-
+        output_ids = model.generate(input_ids, max_length=200)
         self.assertListEqual(output_ids[0].tolist(), expected_output_ids)

tests/test_modeling_xlm.py

@@ -399,14 +399,8 @@ class XLMModelTest(ModelTesterMixin, unittest.TestCase):
             self.assertIsNotNone(model)
 
 
-def prepare_generation_special_tokens():
-    return {"bos_token_id": 0, "pad_token_id": 2}
-
-
 class XLMModelLanguageGenerationTest(unittest.TestCase):
 
-    special_tokens = prepare_generation_special_tokens()
-
     @slow
     def test_lm_generate_xlm_mlm_en_2048(self):
         model = XLMWithLMHeadModel.from_pretrained("xlm-mlm-en-2048")
@@ -435,10 +429,6 @@ class XLMModelLanguageGenerationTest(unittest.TestCase):
         ]  # The dog is nothing is it!!!!!!!!!!!! TODO (PVP): this sentence (and others I tried) does not make much sense, there seems to be a problem with xlm language generation.
         torch.manual_seed(0)
 
-        output_ids = model.generate(
-            input_ids,
-            bos_token_id=self.special_tokens["bos_token_id"],
-            pad_token_id=self.special_tokens["pad_token_id"],
-        )
+        output_ids = model.generate(input_ids)
 
         self.assertListEqual(output_ids[0].tolist(), expected_output_ids)

tests/test_modeling_xlnet.py

@@ -513,14 +513,8 @@ class XLNetModelTest(ModelTesterMixin, unittest.TestCase):
             self.assertIsNotNone(model)
 
 
-def prepare_generation_special_tokens():
-    return {"bos_token_id": 1, "pad_token_id": 5, "eos_token_id": 2}
-
-
 class XLNetModelLanguageGenerationTest(unittest.TestCase):
 
-    special_tokens = prepare_generation_special_tokens()
-
     @slow
     def test_lm_generate_xlnet_base_cased(self):
         model = XLNetLMHeadModel.from_pretrained("xlnet-base-cased")
@@ -917,12 +911,6 @@ class XLNetModelLanguageGenerationTest(unittest.TestCase):
         #  Since, however, he has had difficulty walking with Maria
 
         torch.manual_seed(0)
-        output_ids = model.generate(
-            input_ids,
-            bos_token_id=self.special_tokens["bos_token_id"],
-            pad_token_id=self.special_tokens["pad_token_id"],
-            eos_token_ids=self.special_tokens["eos_token_id"],
-            max_length=200,
-        )
+        output_ids = model.generate(input_ids, max_length=200)
 
         self.assertListEqual(output_ids[0].tolist(), expected_output_ids)