code: def __init__(self, features, fc):
      super().__init__()
      self.features = features
      self.add_module("fc", fc)
  
imports: import unittest
  import copy
  from collections import OrderedDict
  import numpy
  import torch
  from torch import nn, optim
  from torch.nn import functional
  import higher
label_desc: Use image node_id 1 to create a new _TargetNet object from inherited base classes: nn with example: obj = _TargetNet(features, fc)