code: def _check_args_tf(kwargs):
      if "fillcolor" in kwargs and _PIL_VER < (5, 0):
          kwargs.pop("fillcolor")
      kwargs["resample"] = _interpolation(kwargs)
  
imports: import math
  import random
  import re
  import numpy
  import PIL
  from classy_vision.dataset.transforms import register_transform
  from classy_vision.dataset.transforms.classy_transform import ClassyTransform
  from PIL import Image, ImageEnhance, ImageOps
label_desc: Use image node_id 2 for calling a global function with example usage: _check_args_tf(kwargs) without return types