class_docstr: Actual model code for the Transresnet Agent.
docstr: Encode personalities.
  
  :param personalities:
      list of personalities, one per example
  :param personalities_tensor:
      (optional) list of personality representations, usually a one-hot
      vector if specified
  
  :return:
      encoded representation of the personalities
docstr_tok: ["Encode","personalities",".",":","param","personalities",":","list","of","personalities",",","one","per","example",":","param","personalities_tensor",":","(","optional",")","list","of","personality","representations",",","usually","a","one-hot","vector","if","specified",":","return",":","encoded","representation","of","the","personalities"]
code: def forward_personality(self, personalities, personalities_tensor):
      """
      Encode personalities.
  
      :param personalities:
          list of personalities, one per example
      :param personalities_tensor:
          (optional) list of personality representations, usually a one-hot
          vector if specified
  
      :return:
          encoded representation of the personalities
      """
      pers_encoded = None
      if personalities is not None:
          if personalities_tensor is not None:
              pers_feature = personalities_tensor
          else:
              res = torch.FloatTensor(
                  len(personalities), self.num_personalities
              ).fill_(0)
              p_to_i = self.personalities_to_index(personalities)
              for i, index in enumerate(p_to_i):
                  res[i, index] = 1  # no personality corresponds to 0
              if self.use_cuda:
                  res = res.cuda()
              pers_feature = res
          pers_encoded = self.personality_encoder(pers_feature)
  
      return pers_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 8 for calling the TransresnetModel obj's underlying member method code with example usage: obj.forward_personality(personalities, personalities_tensor) and returns: pers_encoded