code: def __call__(self, input):
      trans_input = self.transform(input)
      mask = self.gen_mask(
          self.image_size,
          self.mask_size,
          self.mask_type,
          self.patch_size,
      )
      mask = mask.unsqueeze(dim=0)
      return trans_input, mask
  
imports: import random
  import numpy
  import torch
  from PIL import Image, ImageFilter, ImageOps
  from torch.utils.data import Dataset
  from nemo.collections.multimodal.data.common.data_samplers import SharedEpoch
  from nemo.collections.vision.data.megatron.autoaugment import ImageNetPolicy
  from nemo.collections.vision.data.megatron.image_folder import ImageFolder
label_desc: Use image node_id 3 for calling the InpaintingTransform obj's underlying member method code with example usage: obj.__call__(input) and returns: trans_input,  mask