code: def set_processors(self):
      if self.dataset_type == "train":
          self.video_processor = self.video_train_processor
      else:
          self.video_processor = self.video_test_processor
  
imports: import os
  import PIL
  import torch
  from mmf.common.sample import Sample
  from mmf.datasets.base_dataset import BaseDataset
  from mmf.datasets.builders.charades._utils import CharadesVideoClips, img2gif, make_charades_df
  from mmf.utils.distributed import byte_tensor_to_object, object_to_byte_tensor
  from mmf.utils.file_io import PathManager
label_desc: Use image node_id 7 for calling the CharadesDataset obj's underlying member method code with example usage: obj.set_processors() without return types