code: def forward(self, input: torch.Tensor, **kwargs) -> torch.Tensor:
      return super().forward(input)
  
imports: from typing import Callable, Iterable, Union
  import torch
  from einops import rearrange, repeat
  from sgm.modules.diffusionmodules.model import XFORMERS_IS_AVAILABLE, AttnBlock, Decoder, MemoryEfficientAttnBlock, ResnetBlock
  from sgm.modules.diffusionmodules.openaimodel import ResBlock, timestep_embedding
  from sgm.modules.video_attention import VideoTransformerBlock
  from sgm.util import partialclass
label_desc: Use image node_id 1 for calling the Conv2DWrapper obj's underlying member method code with example usage: obj.forward(input) and returns: super