code: def _get_fill(fill_dict, inpt_type):
      if inpt_type in fill_dict:
          return fill_dict[inpt_type]
      elif "others" in fill_dict:
          return fill_dict["others"]
      else:
          RuntimeError(
              "This should never happen, please open an issue on the torchvision repo if you hit this."
          )
  
imports: from __future__ import annotations
  import collections.abc
  import numbers
  from contextlib import suppress
  from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple, Type, Union
  import PIL.Image
  import torch
  from torchvision import tv_tensors
  from torchvision._utils import sequence_to_str
  from torchvision.transforms.transforms import _check_sequence_input, _setup_angle, _setup_size
  from torchvision.transforms.v2.functional import get_dimensions, get_size, is_pure_tensor
  from torchvision.transforms.v2.functional._utils import _FillType, _FillTypeJIT
label_desc: Use image node_id 5 for calling a global function with example usage: _get_fill(fill_dict, inpt_type) and returns: fill_dict, fill_dict