class_docstr: Randomly mask out one or more patches from an image.
  Args:
      n_holes (int): Number of patches to cut out of each image.
      length (int): The length (in pixels) of each square patch.
code: def __init__(self, length):
      self.length = length
  
file_path: nni/examples/trials/network_morphism/FashionMNIST/utils.py
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.init
  import torchvision.transforms
label_desc: Use image node_id 1 to create a new Cutout object  with example: obj = Cutout(length)