class_docstr: Actual model code for the Transresnet Agent.
docstr: Model forward pass.
  
  :param image_features:
      list of tensors of image features, one per example
  :param personalities:
      list of personalities, one per example
  :param captions:
      list of captions, one per example
  :param personalities_tensor:
      (optional) list of personality representations, usually a one-hot
      vector if specified
  
  :return:
      the encoded context and the encoded captions.
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code: def forward(
      self,
      image_features,
      personalities,
      captions,
      personalities_tensor=None,
  ):
      """
      Model forward pass.
  
      :param image_features:
          list of tensors of image features, one per example
      :param personalities:
          list of personalities, one per example
      :param captions:
          list of captions, one per example
      :param personalities_tensor:
          (optional) list of personality representations, usually a one-hot
          vector if specified
  
      :return:
          the encoded context and the encoded captions.
      """
      captions_encoded = None
      context_encoded = None
      img_encoded = None
  
      # encode captions
      if captions is not None:
          indexes, mask = self.captions_to_tensor(captions)
          captions_encoded = self.text_encoder(indexes)
          if self.text_encoder_frozen:
              captions_encoded = captions_encoded.detach()
          captions_encoded = self.additional_layer(captions_encoded)
  
      # encode personalities
      pers_encoded = self.forward_personality(
          personalities, personalities_tensor
      )
  
      # encode images
      img_encoded = self.forward_image(image_features)
  
      context_encoded = self.sum_encodings([pers_encoded, img_encoded])
      return context_encoded, captions_encoded
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  import torch
  from torch import nn
  from torch import optim
  from parlai.agents.transformer.modules import TransformerEncoder
  from parlai.agents.transformer import transformer
  from parlai.utils.io import PathManager
label_desc: Use image node_id 7 for calling the TransresnetModel obj's underlying member method code with example usage: obj.forward(image_features, personalities, captions, personalities_tensor) and returns: context_encoded,  captions_encoded