code: def hflip_my_tv_tensor(my_dp):  # noqa
      print("Flipping!")
      out = my_dp.flip(-1)
      return tv_tensors.wrap(out, like=my_dp)
  
file_path: vision/gallery/transforms/plot_custom_tv_tensors.py
imports: import torch
  from torchvision import tv_tensors
  from torchvision.transforms import v2
  from torchvision.transforms.v2 import functional
label_desc: Use image node_id 2 for calling a global function with example usage: hflip_my_tv_tensor(my_dp) and returns: tv_tensors