class_docstr: Reranks n-best hypotheses based on extra models and parameters
code: def compute_l2r_model_scores(self, src_tokens, hypos, scores):
      if not self.l2r_model_scorer:
          return
      l2r_scores = self.l2r_model_scorer.score(src_tokens, hypos)
      scores[:, FeatureList.L2R_MODEL_SCORE.value] = l2r_scores[:]
  
imports: import argparse
  import pickle
  from enum import Enum
  import torch
  from fairseq.scoring import bleu
  from pytorch_translate import hybrid_transformer_rnn, utils
  from pytorch_translate.rescoring.model_scorers import LMScorer, R2LModelScorer, ReverseModelScorer, SimpleModelScorer
  from pytorch_translate.research.rescore import cloze_transformer_model
  from pytorch_translate.tasks import pytorch_translate_task
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling the Rescorer obj's underlying member method code with example usage: obj.compute_l2r_model_scores(src_tokens, hypos, scores) without return types