code: def _transform(self, inpt, params):
      if not params["needs_padding"]:
          return inpt
  
      fill = v2._utils._get_fill(self.fill, type(inpt))
      fill = v2._utils._convert_fill_arg(fill)
  
      return v2.functional.pad(
          inpt, padding=params["padding"], fill=fill
      )
  
file_path: vision/references/segmentation/v2_extras.py
imports: import torch
  from torchvision import tv_tensors
  from torchvision.transforms import v2
label_desc: Use image node_id 3 for calling the PadIfSmaller obj's underlying member method code with example usage: obj._transform(inpt, params) and returns: v2, inpt