code: def format_for_prediction(self, report):
      if self.is_multilabel:
          return generate_multilabel_prediction(report)
      else:
          return generate_binary_prediction(report)
  
imports: import copy
  import os
  import numpy
  import omegaconf
  import torch
  from mmf.common.sample import Sample
  from mmf.datasets.mmf_dataset import MMFDataset
  from mmf.utils.general import get_mmf_root
  from mmf.utils.visualize import visualize_images
  from PIL import Image
  from torchvision import transforms
label_desc: Use image node_id 4 for calling the HatefulMemesImageDataset obj's underlying member method code with example usage: obj.format_for_prediction(report) and returns: generate_multilabel_prediction, generate_binary_prediction