code: def __init__(self, in_channels, out_channels):
      super().__init__()
      self.convTrans = nn.ConvTranspose2d(
          in_channels=in_channels,
          out_channels=out_channels,
          kernel_size=3,
          stride=2,
          padding=0,
          bias=True,
      )
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new TransitionUp object from inherited base classes: nn with example: obj = TransitionUp(in_channels, out_channels)