code: def __call__(self, x, adjoint_info):
      if adjoint_info != 42:
          raise ValueError
      return super().__call__(x)
  
file_path: MONAI/tests/test_vis_gradbased.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks.nets import DenseNet, DenseNet121, SEResNet50
  from monai.visualize import GuidedBackpropGrad, GuidedBackpropSmoothGrad, SmoothGrad, VanillaGrad
label_desc: Use image node_id 1 for calling the DenseNetAdjoint obj's underlying member method code with example usage: obj.__call__(x, adjoint_info) and returns: super