class_docstr: Model described in (https://arxiv.org/abs/1811.00945).
  
  A model for producing engaging captions about an image. Given an image and
  this model will attempt to predict an appropriate
  next utterance in the dialog, in the context of a given personality.
  
  See the paper linked above for more information.
class_docstr_tok: ["Model","described","in","(","https",":","\/\/arxiv.org\/abs\/1811.00945",")",".","A","model","for","producing","engaging","captions","about","an","image",".","Given","an","image","and","this","model","will","attempt","to","predict","an","appropriate","next","utterance","in","the","dialog",",","in","the","context","of","a","given","personality",".","See","the","paper","linked","above","for","more","information","."]
docstr: Save the model.
  
  :param path:
      path for saving model
docstr_tok: ["Save","the","model",".",":","param","path",":","path","for","saving","model"]
code: def save(self, path=None):
      """
      Save the model.
  
      :param path:
          path for saving model
      """
      path = self.opt.get("model_file", None) if path is None else path
      self.dict.save(path + ".dict", sort=False)
      print("Saving best model")
      states = {}
      states["model"] = self.model.state_dict()
      torch_utils.atomic_save(states, path)
  
      with PathManager.open(path + ".opt", "w") as handle:
          json.dump(self.opt, handle)
          handle.write("\n")
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  from parlai.core.agents import Agent
  from parlai.core.dict import DictionaryAgent
  from parlai.utils.misc import round_sigfigs
  from .modules import TransresnetModel
  from parlai.tasks.personality_captions.build import build
  from parlai.utils.io import PathManager
  import parlai.utils.torch
  import os
  import random
  import json
  import numpy
  import torch
  import tqdm
label_desc: Use image node_id 21 for calling the TransresnetAgent obj's underlying member method code with example usage: obj.save(path) without return types