code: def forward(self, token_idx):
      if self.dictionary.get_entry(token_idx) == self.keyword:
          return torch.tensor(10)
      elif self.dictionary.get_entry(token_idx) == "<unk>":
          return torch.tensor(-torch.inf)
      return torch.tensor(-10)
  
imports: import torch
  from torchaudio.models.decoder import CTCDecoderLM, CTCDecoderLMState
  from torchaudio.models.decoder._ctc_decoder import _create_word_dict, _Dictionary, _KenLM, _load_words
label_desc: Use image node_id 2 for calling the BiasedLM obj's underlying member method code with example usage: obj.forward(token_idx) and returns: torch, torch, torch