code: def __init__(self, in_channels: int, scale_factor: int = 2):
      if scale_factor != 2:
          raise NotImplementedError(
              "Scale factor other than 2 is not implemented"
          )
      super().__init__()
      self.in_channels = in_channels
      self.out_channels = in_channels
      self.conv = nn.ConvTranspose2d(
          in_channels, in_channels, kernel_size=3, padding=1, stride=2
      )
  
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 1 to create a new DeconvolutionUpsample2d object from inherited base classes: AbstractResizeLayer with example: obj = DeconvolutionUpsample2d(in_channels, scale_factor)