code: def batchify(
      self, obs_batch: List[Message], sort: bool = False
  ) -> Batch:
      batch = super().batchify(obs_batch, sort)
      valid_exs = [ex for ex in obs_batch if self.is_valid(ex)]
      batch.skip_director_reranking_vec = None
      if valid_exs:
          skip_director_reranking = [
              obs_batch[i].get(
                  self.opt["skip_director_reranking_key"], False
              )
              for i in batch.valid_indices
          ]
          if self.opt["skip_director_reranking_for_all_generations"]:
              skip_director_reranking = [
                  True for _ in skip_director_reranking
              ]
          batch.skip_director_reranking_vec = torch.BoolTensor(
              skip_director_reranking
          )
      return batch
  
imports: import torch
  import torch.nn.functional
  import copy
  from typing import Optional, List, Tuple, Any, Dict, Union
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.core.torch_agent import Batch
  from parlai.core.message import Message
  from parlai.agents.rag.retrievers import Document
  from parlai.agents.fid.fid import SearchQueryFiDAgent, WizIntGoldDocRetrieverFiDAgent
  import parlai.utils.logging
  from projects.seeker.agents.seeker_modules import ComboFidModel
  from projects.seeker.agents.seeker import ComboFidAgent, SeekerAgent
  from projects.fits.agents.director_bb2 import DirectorFidAgent, DirectorFidModelMixin
label_desc: Use image node_id 4 for calling the DirectorComboFidAgent obj's underlying member method code with example usage: obj.batchify(obs_batch, sort) and returns: batch