[style] consistent nn. and nn.functional: part 3 tests (#12155)

* consistent nn. and nn.functional: p3 templates

* restore

tests/test_modeling_clip.py

@@ -30,6 +30,7 @@ from .test_modeling_common import ModelTesterMixin, _config_zero_init, floats_te
 
 if is_torch_available():
     import torch
+    from torch import nn
 
     from transformers import CLIPConfig, CLIPModel, CLIPTextConfig, CLIPTextModel, CLIPVisionConfig, CLIPVisionModel
     from transformers.models.clip.modeling_clip import CLIP_PRETRAINED_MODEL_ARCHIVE_LIST
@@ -140,9 +141,9 @@ class CLIPVisionModelTest(ModelTesterMixin, unittest.TestCase):
 
         for model_class in self.all_model_classes:
             model = model_class(config)
-            self.assertIsInstance(model.get_input_embeddings(), (torch.nn.Module))
+            self.assertIsInstance(model.get_input_embeddings(), (nn.Module))
             x = model.get_output_embeddings()
-            self.assertTrue(x is None or isinstance(x, torch.nn.Linear))
+            self.assertTrue(x is None or isinstance(x, nn.Linear))
 
     def test_forward_signature(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()