code: def test_fix(self) -> None:
      fix1 = self.mf[type(self.in1)](self.in1)
      fix2 = self.mf[type(self.in2)](self.in2)
      fix3 = self.mf[type(self.in3)](self.in3)
      fixs = self.mf[type(self.in_no_stats)](self.in_no_stats)
  
      self.assertTrue(isinstance(fix1, nn.InstanceNorm1d))
      self.assertFalse(fix1.track_running_stats)
  
      self.assertTrue(isinstance(fix2, nn.InstanceNorm2d))
      self.assertFalse(fix2.track_running_stats)
  
      self.assertTrue(isinstance(fix3, nn.InstanceNorm3d))
      self.assertFalse(fix3.track_running_stats)
  
      self.assertTrue(isinstance(fixs, nn.InstanceNorm3d))
      self.assertTrue(fixs is self.in_no_stats)
  
file_path: opacus/opacus/tests/validators/instance_norm_test.py
imports: import unittest
  import torch.nn
  from opacus.validators.errors import IllegalModuleConfigurationError
  from opacus.validators.module_validator import ModuleValidator
label_desc: Use image node_id 3 for calling the InstanceNormValidator_test obj's underlying member method code with example usage: obj.test_fix() without return types