class_docstr: Model from "Engaging Image Chat: Modeling Personality in Grounded Dialogue".
  
  See paper for more details: (https://arxiv.org/abs/1811.00945)
  
  An extension of the model from https://arxiv.org/abs/1810.10665; given
  an image, personality, and dialogue history, predicts the next utterance
  in a dialogue.
class_docstr_tok: ["Model","from","``","Engaging","Image","Chat",":","Modeling","Personality","in","Grounded","Dialogue","''",".","See","paper","for","more","details",":","(","https",":","\/\/arxiv.org\/abs\/1811.00945",")","An","extension","of","the","model","from","https",":","\/\/arxiv.org\/abs\/1810.10665",";","given","an","image",",","personality",",","and","dialogue","history",",","predicts","the","next","utterance","in","a","dialogue","."]
docstr: Observe an observation.
  
  Additionally retrieves the dialogue history for the observation.
  
  :param observation:
      observation
  
  :return:
      the observation, with dialogue history included.
docstr_tok: ["Observe","an","observation",".","Additionally","retrieves","the","dialogue","history","for","the","observation",".",":","param","observation",":","observation",":","return",":","the","observation",",","with","dialogue","history","included","."]
code: def observe(self, observation):
      """
      Observe an observation.
  
      Additionally retrieves the dialogue history for the observation.
  
      :param observation:
          observation
  
      :return:
          the observation, with dialogue history included.
      """
      observation = Message(
          observation
      )  # TODO: eventually this will not be
      # necessary as we migrate all teachers to return Message objects
      self.observation = self.get_dialogue_history(observation)
      return self.observation
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  from parlai.utils.misc import round_sigfigs
  from parlai.core.message import Message
  from .modules import TransresnetMultimodalModel
  from projects.personality_captions.transresnet.transresnet import TransresnetAgent
  from parlai.utils.io import PathManager
  import parlai.utils.torch
  import torch
  from torch import optim
  import random
  import numpy
  import tqdm
  from collections import deque
label_desc: Use image node_id 6 for calling the TransresnetMultimodalAgent obj's underlying member method code with example usage: obj.observe(observation) and returns: self