class_docstr: Randomly mask out one or more patches from a batch of images.
  
  Args:
      n_holes (int): Number of patches to cut out of each image.
      width (int): The width (in pixels) of each square patch.
      height (int): The height (in pixels) of each square patch.
code: def __init__(self, n_holes, width, height):
      self.n_holes = n_holes
      self.width = width
      self.height = height
  
imports: import torchbearer
  from torchbearer import Callback
  import torch
  from torch.distributions import Beta
  from torchbearer.bases import cite
label_desc: Use image node_id 1 to create a new BatchCutout object from inherited base classes: object with example: obj = BatchCutout(n_holes, width, height)