fix some makefile issues

pytorch_optimizer/optimizer/utils.py

@@ -198,21 +198,20 @@ def get_optimizer_parameters(
     weight_decay: float,
     wd_ban_list: List[str] = ('bias', 'LayerNorm.bias', 'LayerNorm.weight'),
 ) -> PARAMETERS:
-    r"""Get optimizer parameters while filtering specified modules.
-
+    r"""
+    Get optimizer parameters while filtering specified modules.
     :param model_or_parameter: Union[nn.Module, List]. model or parameters.
     :param weight_decay: float. weight_decay.
     :param wd_ban_list: List[str]. ban list not to set weight decay.
     :returns: PARAMETERS. new parameter list.
     """
 
+
     fully_qualified_names = []
     for module_name, module in model_or_parameter.named_modules():
-        for param_name, param in module.named_parameters(recurse=False):
+        for param_name, _param in module.named_parameters(recurse=False):
             # Full parameter name includes module and parameter names
-            full_param_name = (
-                f"{module_name}.{param_name}" if module_name else param_name
-            )
+            full_param_name = f'{module_name}.{param_name}' if module_name else param_name
             # Check if any ban list substring is in the parameter name or module name
             if (
                 any(banned in param_name for banned in wd_ban_list)
@@ -223,14 +222,20 @@ def get_optimizer_parameters(
 
     if isinstance(model_or_parameter, nn.Module):
         model_or_parameter = list(model_or_parameter.named_parameters())
-    
+
     return [
         {
-            'params': [p for n, p in model_or_parameter if p.requires_grad and not any(nd in n for nd in fully_qualified_names)],
+            'params': [
+                p
+                for n, p in model_or_parameter
+                if p.requires_grad and not any(nd in n for nd in fully_qualified_names)
+            ],
             'weight_decay': weight_decay,
         },
         {
-            'params': [p for n, p in model_or_parameter if p.requires_grad and any(nd in n for nd in fully_qualified_names)],
+            'params': [
+                p for n, p in model_or_parameter if p.requires_grad and any(nd in n for nd in fully_qualified_names)
+            ],
             'weight_decay': 0.0,
         },
     ]