class_docstr: Task for training speech recognition model.
class_docstr_tok: ["Task","for","training","speech","recognition","model","."]
docstr: Setup the task (e.g., load dictionaries).
docstr_tok: ["Setup","the","task","(","e.g.",",","load","dictionaries",")","."]
code: def setup_task(cls, args, **kwargs):
      """Setup the task (e.g., load dictionaries)."""
      dict_path = os.path.join(args.data, "dict.txt")
      if not os.path.isfile(dict_path):
          raise FileNotFoundError(
              "Dict not found: {}".format(dict_path)
          )
      tgt_dict = Dictionary.load(dict_path)
  
      if args.criterion == "ctc_loss":
          tgt_dict.add_symbol("<ctc_blank>")
      elif args.criterion == "asg_loss":
          for i in range(1, args.max_replabel + 1):
              tgt_dict.add_symbol(replabel_symbol(i))
  
      print("| dictionary: {} types".format(len(tgt_dict)))
      return cls(args, tgt_dict)
  
file_path: fairseq/examples/speech_recognition/tasks/speech_recognition.py
imports: import json
  import os
  import re
  import sys
  import torch
  from examples.speech_recognition.data import AsrDataset
  from examples.speech_recognition.data.replabels import replabel_symbol
  from fairseq.data import Dictionary
  from fairseq.tasks import LegacyFairseqTask, register_task
label_desc: Use image node_id 3 for calling the SpeechRecognitionTask obj's underlying member method code with example usage: obj.setup_task(cls, args) and returns: cls