[misc] update pre-commit and run all files (#4752)

* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format

tests/kit/model_zoo/registry.py

@@ -2,7 +2,7 @@
 from dataclasses import dataclass
 from typing import Callable
 
-__all__ = ['ModelZooRegistry', 'ModelAttribute', 'model_zoo']
+__all__ = ["ModelZooRegistry", "ModelAttribute", "model_zoo"]
 
 
 @dataclass
@@ -14,6 +14,7 @@ class ModelAttribute:
         has_control_flow (bool): Whether the model contains branching in its forward method.
         has_stochastic_depth_prob (bool): Whether the model contains stochastic depth probability. Often seen in the torchvision models.
     """
+
     has_control_flow: bool = False
     has_stochastic_depth_prob: bool = False
 
@@ -23,13 +24,15 @@ class ModelZooRegistry(dict):
     A registry to map model names to model and data generation functions.
     """
 
-    def register(self,
-                 name: str,
-                 model_fn: Callable,
-                 data_gen_fn: Callable,
-                 output_transform_fn: Callable,
-                 loss_fn: Callable = None,
-                 model_attribute: ModelAttribute = None):
+    def register(
+        self,
+        name: str,
+        model_fn: Callable,
+        data_gen_fn: Callable,
+        output_transform_fn: Callable,
+        loss_fn: Callable = None,
+        model_attribute: ModelAttribute = None,
+    ):
         """
         Register a model and data generation function.
 
@@ -71,7 +74,7 @@ class ModelZooRegistry(dict):
             if keyword in k:
                 new_dict[k] = v
 
-        assert len(new_dict) > 0, f'No model found with keyword {keyword}'
+        assert len(new_dict) > 0, f"No model found with keyword {keyword}"
         return new_dict