code: def forward(self, image: Tensor) -> Tensor:
      image = self.child(
          self.left_block(image) + self.left_shortcut(image)
      )
      return self.right_block(image) + self.right_shortcut(image)
  
imports: import math
  from functools import partial
  from typing import Callable, List, Optional, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from torch.nn.utils.parametrizations import spectral_norm
  from ._discriminator import Discriminator
label_desc: Use image node_id 2 for calling the _UnetLevel obj's underlying member method code with example usage: obj.forward(image) and returns: unknown