code: def __init__(self, n_n, n_m, n_d, n_class):
      super().__init__()
      self.layer = torch.nn.Linear(n_n, n_m)
      self.layer_1 = torch.nn.Linear(n_m, n_d)
      self.class_layer = torch.nn.Linear(n_d, n_class)
  
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.networks.utils import copy_model_state
  from monai.utils import set_determinism
label_desc: Use image node_id 1 to create a new _TestModelTwo object from inherited base classes: torch.nn with example: obj = _TestModelTwo(n_n, n_m, n_d, n_class)