class_docstr: Include characters, inline candidates to train a generator with multiple objectives.
class_docstr_tok: ["Include","characters",",","inline","candidates","to","train","a","generator","with","multiple","objectives","."]
code: def add_cmdline_args(
      cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
  ) -> ParlaiParser:
      SimpleMultiTeacher.add_cmdline_args(parser, partial_opt)
      SpeakerClassifierTeacher.add_speaker_classifier_cmdline_args(
          parser
      )
      parser.set_defaults(num_train_inline_candidates=-1)
      return parser
  
imports: from abc import ABC
  from collections import deque
  import re
  from typing import Optional
  from parlai.core.build_data import modelzoo_path
  from parlai.core.message import Message
  from parlai.core.metrics import AverageMetric
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.tasks.light_dialog.agents import SimpleMultiTeacher
  from parlai.utils.data import DatatypeHelper
  import parlai.utils.logging
  import copy
  import os
  import random
  import torch
  import torch.nn
  import torch.nn.functional
  from typing import List, Dict, Tuple
  from projects.light_whoami.task.utils import DEFAULT_DELIM, CONTEXT_KEYS, extract_characters, WHO_AM_I, WHO_ARE_YOU, SELF, PARTNER, WHO_IS_THIS, maybe_annotate
  import projects.light_whoami.task.mutators
label_desc: Use image node_id 1 for calling the MultiObjectiveTeacher obj's underlying member method code with example usage: obj.add_cmdline_args(cls, parser, partial_opt) and returns: parser