code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x_in = self.conv_in(x)
  
      x = x_in
      encode_outputs = []
      for m in self.encode_modules:
          x = m(x)
          encode_outputs.append(x)
  
      x = encode_outputs.pop()
      for m in self.decode_modules:
          x2 = encode_outputs.pop()
          x = m(x, x2)
  
      return x + x_in
  
imports: from typing import Union, List
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the RSU obj's underlying member method code with example usage: obj.forward(x) and returns: unknown