code: def forward(self, bot: Tensor, hor: Tensor) -> Tensor:
      bot_big = self.upsample(bot)
      combined = torch.cat([bot_big, hor], dim=1)
  
      return self.conv(combined)
  
imports: from __future__ import annotations
  from typing import Any
  import torch
  import torch.nn.functional
  from torch import nn
  from kornia.core import Module, Tensor
label_desc: Use image node_id 2 for calling the ThinUnetUpBlock obj's underlying member method code with example usage: obj.forward(bot, hor) and returns: self