code: def add_args(parser):
      parser.add_argument("data", help="manifest root path")
      parser.add_argument(
          "--config-yaml",
          type=str,
          default="config.yaml",
          help="Configuration YAML filename (under manifest root)",
      )
      parser.add_argument(
          "--max-source-positions",
          default=1024,
          type=int,
          metavar="N",
          help="max number of tokens in the source sequence",
      )
      parser.add_argument(
          "--max-target-positions",
          default=1200,
          type=int,
          metavar="N",
          help="max number of tokens in the target sequence",
      )
      parser.add_argument("--n-frames-per-step", type=int, default=1)
      parser.add_argument(
          "--eos-prob-threshold", type=float, default=0.5
      )
      parser.add_argument("--eval-inference", action="store_true")
      parser.add_argument("--eval-tb-nsample", type=int, default=8)
      parser.add_argument("--vocoder", type=str, default="griffin_lim")
      parser.add_argument("--spec-bwd-max-iter", type=int, default=8)
  
imports: import logging
  import os
  import os.path
  import torch
  import torch.nn.functional
  import numpy
  from fairseq.data.audio.text_to_speech_dataset import TextToSpeechDatasetCreator
  from fairseq.tasks import register_task
  from fairseq.tasks.speech_to_text import SpeechToTextTask
  from fairseq.speech_generator import AutoRegressiveSpeechGenerator, NonAutoregressiveSpeechGenerator, TeacherForcingAutoRegressiveSpeechGenerator
label_desc: Use image node_id 1 for calling the TextToSpeechTask obj's underlying member method code with example usage: obj.add_args(parser) without return types