code: def transform(self, image: Tensor, mask: Tensor) -> TPack:
      flipped_image = torch.flip(image, dims=(3,))
      flipped_mask = torch.flip(mask, dims=(3,))
      image = torch.cat((image, flipped_image), dim=0)
      mask = torch.cat((mask, flipped_mask), dim=0)
      return image, mask
  
imports: import torch
  from numpy import ndarray
  from torch import Tensor
  from typing import Tuple
  from collections import namedtuple
label_desc: Use image node_id 1 for calling the AddFlippedTensor obj's underlying member method code with example usage: obj.transform(image, mask) and returns: image,  mask