code: def gridmask(
      image,
      boxes,
      prob=0.5,
      ratio=0.6,
      rotate=10,
      gridmask_size_ratio=0.5,
      fill=1,
  ):
      """Callable instance of GridMask and transforms input image."""
      gridmask_obj = GridMask(
          prob=prob,
          ratio=ratio,
          rotate=rotate,
          gridmask_size_ratio=gridmask_size_ratio,
          fill=fill,
      )
      image, boxes = gridmask_obj(image, boxes)
      return image, boxes
  
file_path: DALI/docs/examples/use_cases/tensorflow/efficientdet/pipeline/tf/gridmask.py
imports: import math
  import tensorflow
  from tensorflow_addons import image
label_desc: Use image node_id 1 for calling a global function with example usage: gridmask(image, boxes, prob, ratio, rotate, gridmask_size_ratio, fill) and returns: image,  boxes