class_docstr: Stacked model that generates first the knowledge, and then the dialogue response.
class_docstr_tok: ["Stacked","model","that","generates","first","the","knowledge",",","and","then","the","dialogue","response","."]
code: def share(self):
      shared = super().share()
      shared["knowledge_agent_share"] = self.knowledge_agent.share()
      shared["dialogue_agent_share"] = self.dialogue_agent.share()
      if self.has_no_knowledge_dialogue_model:
          shared[
              "dialogue_agent_no_knowledge_share"
          ] = self.dialogue_agent_no_knowledge.share()
      if self.has_rag_wiki_dialogue_model:
          shared[
              "dialogue_agent_rag_wiki_share"
          ] = self.dialogue_agent_rag_wiki.share()
      return shared
  
imports: from copy import deepcopy
  from typing import Optional, List
  from types import MethodType
  from collections import defaultdict
  from nltk.tokenize import sent_tokenize
  from nltk.corpus import stopwords
  import random
  import spacy
  import torch
  from parlai.core.agents import create_agent, create_agent_from_shared
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  from parlai.core.message import Message
  from parlai.core.agents import Agent
  from parlai.core.metrics import F1Metric
  from parlai.agents.rag.args import setup_rag_args
  from parlai.agents.bart.bart import BartAgent
  from parlai.core.metrics import normalize_answer
  from parlai.tasks.wizard_of_wikipedia.agents import TOKEN_NOCHOSEN
  from parlai.tasks.wizard_of_wikipedia.agents import TOKEN_KNOWLEDGE, TOKEN_END_KNOWLEDGE
label_desc: Use image node_id 7 for calling the StackedKnowledgeDialogueAgent obj's underlying member method code with example usage: obj.share() and returns: shared