code: def __init__(self, args, tgt_dict):
      super().__init__(args, tgt_dict)
  
imports: import gc
  import itertools
  import os.path
  from typing import List
  import warnings
  from collections import deque, namedtuple
  import numpy
  import torch
  from examples.speech_recognition.data.replabels import unpack_replabels
  from fairseq import tasks
  from fairseq.utils import apply_to_sample
  from omegaconf import open_dict
  from fairseq.dataclass.utils import convert_namespace_to_omegaconf
label_desc: Use image node_id 1 to create a new W2lViterbiDecoder object from inherited base classes: W2lDecoder with example: obj = W2lViterbiDecoder(args, tgt_dict)