code: def data_gen_for_masked_image_modeling():
      data = data_gen()
      num_patches = (config.image_size // config.patch_size) ** 2
      bool_masked_pos = torch.randint(
          low=0, high=2, size=(1, num_patches)
      ).bool()
      data["bool_masked_pos"] = bool_masked_pos
      return data
  
imports: import torch
  import transformers
  from ..registry import ModelAttribute, model_zoo
label_desc: Use image node_id 3 for calling a global function with example usage: data_gen_for_masked_image_modeling() and returns: data