class_docstr: Actual model code for the Transresnet Agent.
code: def _build_personality_encoder(self):
      personality_layers = [
          nn.BatchNorm1d(self.num_personalities),
          nn.Dropout(p=self.opt["dropout"]),
          nn.Linear(self.num_personalities, self.opt["hidden_dim"]),
      ]
      self.personality_encoder = nn.Sequential(*personality_layers)
  
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 6 for calling the TransresnetModel obj's underlying member method code with example usage: obj._build_personality_encoder() without return types