class_docstr: information about one single beam at specific time-step
class_docstr_tok: ["information","about","one","single","beam","at","specific","time-step"]
code: def __init__(self):
      self.prTotal = 0  # blank and non-blank
      self.prNonBlank = 0  # non-blank
      self.prBlank = 0  # blank
      self.prText = 1  # LM score
      self.lmApplied = (
          False  # flag if LM was already applied to this beam
      )
      self.labeling = ()
  
imports: import torch
  import pickle
  import numpy
label_desc: Use image node_id 1 to create a new BeamEntry object  with example: obj = BeamEntry()