code: def forward(self, token_idxs: torch.Tensor) -> torch.Tensor:
      return self.__dropout_layer(self.__embeddings(token_idxs))
  
imports: from typing_extensions import Final, Literal
  import logging
  import math
  import numpy
  import torch
  import torch.nn
  from dpu_utils.codeutils import split_identifier_into_parts
  from dpu_utils.mlutils import BpeVocabulary, CharTensorizer, Vocabulary
  from typing import Any, Counter, Dict, List, NamedTuple, Optional, Union
  from ptgnn.baseneuralmodel import AbstractNeuralModel
  from ptgnn.neuralmodels.gnn.structs import AbstractNodeEmbedder
label_desc: Use image node_id 3 for calling the TokenUnitEmbedder obj's underlying member method code with example usage: obj.forward(token_idxs) and returns: self