code: def get_parser():
      """Get argument parser."""
      parser = config_argparse.ArgumentParser(
          description="TTS inference",
          formatter_class=argparse.ArgumentDefaultsHelpFormatter,
      )
  
      # Note(kamo): Use "_" instead of "-" as separator.
      # "-" is confusing if written in yaml.
      parser.add_argument(
          "--log_level",
          type=lambda x: x.upper(),
          default="INFO",
          choices=(
              "CRITICAL",
              "ERROR",
              "WARNING",
              "INFO",
              "DEBUG",
              "NOTSET",
          ),
          help="The verbose level of logging",
      )
  
      parser.add_argument(
          "--output_dir",
          type=str,
          required=True,
          help="The path of output directory",
      )
      parser.add_argument(
          "--ngpu",
          type=int,
          default=0,
          help="The number of gpus. 0 indicates CPU mode",
      )
      parser.add_argument(
          "--seed",
          type=int,
          default=0,
          help="Random seed",
      )
      parser.add_argument(
          "--dtype",
          default="float32",
          choices=["float16", "float32", "float64"],
          help="Data type",
      )
      parser.add_argument(
          "--num_workers",
          type=int,
          default=1,
          help="The number of workers used for DataLoader",
      )
      parser.add_argument(
          "--batch_size",
          type=int,
          default=1,
          help="The batch size for inference",
      )
  
      group = parser.add_argument_group("Input data related")
      group.add_argument(
          "--data_path_and_name_and_type",
          type=str2triple_str,
          required=True,
          action="append",
      )
      group.add_argument(
          "--key_file",
          type=str_or_none,
      )
      group.add_argument(
          "--allow_variable_data_keys",
          type=str2bool,
          default=False,
      )
  
      group = parser.add_argument_group(
          "The model configuration related"
      )
      group.add_argument(
          "--train_config",
          type=str,
          help="Training configuration file",
      )
      group.add_argument(
          "--model_file",
          type=str,
          help="Model parameter file",
      )
      group.add_argument(
          "--model_tag",
          type=str,
          help="Pretrained model tag. If specify this option, train_config and "
          "model_file will be overwritten",
      )
  
      group = parser.add_argument_group("Decoding related")
      group.add_argument(
          "--maxlenratio",
          type=float,
          default=10.0,
          help="Maximum length ratio in decoding",
      )
      group.add_argument(
          "--minlenratio",
          type=float,
          default=0.0,
          help="Minimum length ratio in decoding",
      )
      group.add_argument(
          "--threshold",
          type=float,
          default=0.5,
          help="Threshold value in decoding",
      )
      group.add_argument(
          "--use_att_constraint",
          type=str2bool,
          default=False,
          help="Whether to use attention constraint",
      )
      group.add_argument(
          "--backward_window",
          type=int,
          default=1,
          help="Backward window value in attention constraint",
      )
      group.add_argument(
          "--forward_window",
          type=int,
          default=3,
          help="Forward window value in attention constraint",
      )
      group.add_argument(
          "--use_teacher_forcing",
          type=str2bool,
          default=False,
          help="Whether to use teacher forcing",
      )
      parser.add_argument(
          "--speed_control_alpha",
          type=float,
          default=1.0,
          help="Alpha in FastSpeech to change the speed of generated speech",
      )
      parser.add_argument(
          "--noise_scale",
          type=float,
          default=0.667,
          help="Noise scale parameter for the flow in vits",
      )
      parser.add_argument(
          "--noise_scale_dur",
          type=float,
          default=0.8,
          help="Noise scale parameter for the stochastic duration predictor in vits",
      )
      group.add_argument(
          "--always_fix_seed",
          type=str2bool,
          default=False,
          help="Whether to always fix seed",
      )
  
      group = parser.add_argument_group("Vocoder related")
      group.add_argument(
          "--vocoder_config",
          type=str_or_none,
          help="Vocoder configuration file",
      )
      group.add_argument(
          "--vocoder_file",
          type=str_or_none,
          help="Vocoder parameter file",
      )
      group.add_argument(
          "--vocoder_tag",
          type=str,
          help="Pretrained vocoder tag. If specify this option, vocoder_config and "
          "vocoder_file will be overwritten",
      )
      return parser
  
imports: import argparse
  import logging
  import shutil
  import sys
  import time
  from pathlib import Path
  from typing import Any, Dict, Optional, Sequence, Tuple, Union
  import numpy
  import soundfile
  import torch
  from packaging.version import parse
  from typeguard import check_argument_types
  from espnet2.fileio.npy_scp import NpyScpWriter
  from espnet2.gan_tts.vits import VITS
  from espnet2.tasks.tts import TTSTask
  from espnet2.torch_utils.device_funcs import to_device
  from espnet2.torch_utils.set_all_random_seed import set_all_random_seed
  from espnet2.tts.fastspeech import FastSpeech
  from espnet2.tts.fastspeech2 import FastSpeech2
  from espnet2.tts.tacotron2 import Tacotron2
  from espnet2.tts.transformer import Transformer
  from espnet2.tts.utils import DurationCalculator
  from espnet2.utils import config_argparse
  from espnet2.utils.types import str2bool, str2triple_str, str_or_none
  from espnet.utils.cli_utils import get_commandline_args
label_desc: Use image node_id 2 for calling a global function with example usage: get_parser() and returns: parser