code: def finish_first_beam_step(self, beam):
      scores_finish = torch.log_softmax(
          torch.tensor(
              [
                  [
                      0,
                      0,
                      10000,
                      0,
                      5000,
                      0.51,
                      0.2,
                      0,
                  ],  # beam 0 shouldn't cont
                  [100000, 100001, 0, 0, 0, 0, 0, 0],
                  [0, 100000, 0, 0, 0, 5000, 0, 0],
                  [0, 0, 0, 0.2, 0.2, 0.2, 0.2, 0.2],
                  [0, 0, 0, 0, 0.2, 0.2, 0.2, 0.2],
              ]  # beam 4 -> beam 1 should die
          ),
          dim=1,
      )
      scores_finish = scores_finish.repeat(self.BATCH_SZ, 1)
      scores_finish[: self.BEAM_SZ, beam.eos] = 100
      beam.advance(scores_finish, None)
  
      any_finished = any(
          [any(subbeam) for subbeam in beam.is_finished_list]
      )
      if any_finished:
          beam.update_finished()
  
imports: import unittest
  from onmt.translate.beam_search import BeamSearch, GNMTGlobalScorer
  from onmt.translate.beam_search import BeamSearchLM
  from copy import deepcopy
  import torch
label_desc: Use image node_id 1 for calling the TestBeamSearchLM obj's underlying member method code with example usage: obj.finish_first_beam_step(beam) without return types