code: def forward(self, x: list[Tensor]) -> list[Tensor]:
      x1, x2 = x[0], x[1]
      x3: Tensor = x1
      for mod in self:
          x3 = mod(x3)
      return [0.5 * (x3 + x2), x2]
  
imports: from __future__ import annotations
  from collections import OrderedDict
  from typing import Optional
  import torch
  import torch.nn.functional
  from torch import nn
  from kornia.core import Module, Tensor, concatenate
  from kornia.core.check import KORNIA_CHECK
  from kornia.utils import map_location_to_cpu
label_desc: Use image node_id 2 for calling the _DenseLayer obj's underlying member method code with example usage: obj.forward(x) and returns: list