def __init__(self,
                 use_h=True,
                 use_w=True,
                 rotate=1,
                 offset=False,
                 ratio=0.5,
                 mode=1,
                 prob=0.7,
                 upper_iter=360000):
        """
        GridMask Data Augmentation, see https://arxiv.org/abs/2001.04086
        Args:
            use_h (bool): whether to mask vertically
            use_w (boo;): whether to mask horizontally
            rotate (float): angle for the mask to rotate
            offset (float): mask offset
            ratio (float): mask ratio
            mode (int): gridmask mode
            prob (float): max probability to carry out gridmask
            upper_iter (int): suggested to be equal to global max_iter
        """
        super(GridMask, self).__init__()
        self.use_h = use_h
        self.use_w = use_w
        self.rotate = rotate
        self.offset = offset
        self.ratio = ratio
        self.mode = mode
        self.prob = prob
        self.upper_iter = upper_iter

        from .gridmask_utils import Gridmask
        self.gridmask_op = Gridmask(
            use_h,
            use_w,
            rotate=rotate,
            offset=offset,
            ratio=ratio,
            mode=mode,
            prob=prob,
            upper_iter=upper_iter)

        GridMask Data Augmentation, see https://arxiv.org/abs/2001.04086
        Args:
            use_h (bool): whether to mask vertically
            use_w (boo;): whether to mask horizontally
            rotate (float): angle for the mask to rotate
            offset (float): mask offset
            ratio (float): mask ratio
            mode (int): gridmask mode
            prob (float): max probability to carry out gridmask
            upper_iter (int): suggested to be equal to global max_iter
        
ppdet/data/transform/operators.py