code: def forward(
      self, x: Tensor, output_size: Optional[List[int]] = None
  ) -> Tensor:  # skipcq: PYL-W0221
      return self.conv(x, output_size=output_size)
  
imports: from enum import Enum
  from math import hypot
  from typing import Optional, List, Tuple, Union, Type
  import torch
  from torch import nn, Tensor
label_desc: Use image node_id 2 for calling the DeconvolutionUpsample2d obj's underlying member method code with example usage: obj.forward(x, output_size) and returns: self