code: def __init__(self, transform_function: Callable[[Tensor], Tensor]):
      super(IdentityShortcut, self).__init__()
      self.transform_function = transform_function
  
imports: from typing import Union, Sequence, Callable
  import torch
  from torch.nn import Module, Sequential, BatchNorm2d, Conv2d, ReLU, ConstantPad3d, Identity, AdaptiveAvgPool2d, Linear
  from torch import Tensor
  from torch.nn.init import zeros_, kaiming_normal_
  from torch.nn.modules.flatten import Flatten
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new IdentityShortcut object from inherited base classes: Module with example: obj = IdentityShortcut(transform_function)