code: def test_fix_bn_with_args(self) -> None:
      m = nn.Sequential(
          OrderedDict(
              [
                  ("fc", nn.Linear(4, 8)),
                  ("bn", nn.BatchNorm2d(16)),
              ]
          )
      )
  
      m1 = ModuleValidator.fix(m)
      self.assertTrue(isinstance(m1.bn, nn.GroupNorm))
      self.assertEqual(m1.bn.num_groups, 16)
  
      m2 = ModuleValidator.fix(m, num_groups=4)
      self.assertTrue(isinstance(m2.bn, nn.GroupNorm))
      self.assertEqual(m2.bn.num_groups, 4)
  
      m3 = ModuleValidator.fix(m, replace_bn_with_in=True)
      self.assertTrue(isinstance(m3.bn, nn.InstanceNorm2d))
  
      with self.assertRaises(ValueError):
          ModuleValidator.fix(m, replace_bn_with_in=True, num_groups=4)
  
imports: import unittest
  from collections import OrderedDict
  import torch
  import torch.nn
  from opacus.validators.errors import UnsupportedModuleError
  from opacus.validators.module_validator import ModuleValidator
  from torchvision.models import mobilenet_v3_small
label_desc: Use image node_id 12 for calling the ModuleValidator_test obj's underlying member method code with example usage: obj.test_fix_bn_with_args() without return types