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

* consistent nn. and nn.functional: p3 templates

* restore

tests/test_pipelines_conversational.py

@@ -32,6 +32,7 @@ from .test_pipelines_common import MonoInputPipelineCommonMixin
 
 if is_torch_available():
     import torch
+    from torch import nn
 
     from transformers.models.gpt2 import GPT2Config, GPT2LMHeadModel
 
@@ -59,8 +60,8 @@ class SimpleConversationPipelineTests(unittest.TestCase):
         bias[76] = 1
         weight = torch.zeros((V, D), requires_grad=True)
 
-        model.lm_head.bias = torch.nn.Parameter(bias)
-        model.lm_head.weight = torch.nn.Parameter(weight)
+        model.lm_head.bias = nn.Parameter(bias)
+        model.lm_head.weight = nn.Parameter(weight)
 
         # # Created with:
         # import tempfile