fix test examples et model pretrained

examples/test_examples.py

@@ -56,7 +56,8 @@ class ExamplesTests(unittest.TestCase):
                     "--learning_rate=1e-4",
                     "--max_steps=10",
                     "--warmup_steps=2",
-                    "--overwrite_output_dir"]
+                    "--overwrite_output_dir",
+                    "--seed=42"]
         model_name = "--model_name=bert-base-uncased"
         with patch.object(sys, 'argv', testargs + [model_name]):
             result = run_glue.main()

pytorch_transformers/modeling_utils.py

@@ -49,7 +49,7 @@ class PretrainedConfig(object):
         self.torchscript = kwargs.pop('torchscript', False)
 
     @classmethod
-    def from_pretrained(cls, pretrained_model_name_or_path, **kwargs):
+    def from_pretrained(cls, pretrained_model_name_or_path, *input, **kwargs):
         """
         Instantiate a PretrainedConfig from a pre-trained model configuration.
 

pytorch_transformers/tests/modeling_utils_test.py

@@ -30,6 +30,7 @@ class ModelUtilsTest(unittest.TestCase):
             self.assertIsNotNone(config)
             self.assertIsInstance(config, PretrainedConfig)
 
+            model = BertModel.from_pretrained(model_name)
             model, loading_info = BertModel.from_pretrained(model_name, output_loading_info=True)
             self.assertIsNotNone(model)
             self.assertIsInstance(model, PreTrainedModel)