code: def init_processors(self):
      super().init_processors()
      # Assign transforms to the image_db
      if self._dataset_type == "train":
          self.image_db.transform = self.train_image_processor
      else:
          self.image_db.transform = self.eval_image_processor
  
file_path: mmf/mmf/datasets/builders/retrieval/dataset.py
imports: import random
  import torch
  from mmf.common.sample import Sample, SampleList
  from mmf.common.typings import MMFDatasetConfigType
  from mmf.datasets.builders.retrieval.datasets import CaptionsDatabase, COCOAnnotationDatabase, ConceptualCaptionsDatabase
  from mmf.datasets.mmf_dataset import MMFDataset
label_desc: Use image node_id 2 for calling the RetrievalDataset obj's underlying member method code with example usage: obj.init_processors() without return types