code: def __init__(self):
      super().__init__()
      self._sample_rate = 22050
      self._inv_mel = InverseMelScale(
          n_stft=(1024 // 2 + 1),
          n_mels=80,
          sample_rate=self.sample_rate,
          f_min=0.0,
          f_max=8000.0,
          mel_scale="slaney",
          norm="slaney",
      )
      self._griffin_lim = GriffinLim(
          n_fft=1024,
          power=1,
          hop_length=256,
          win_length=1024,
      )
  
imports: import re
  from dataclasses import dataclass
  from typing import Any, Dict, List, Optional, Tuple, Union
  import torch
  from torch import Tensor
  from torchaudio._internal import load_state_dict_from_url
  from torchaudio.functional import mu_law_decoding
  from torchaudio.models import Tacotron2, WaveRNN
  from torchaudio.transforms import GriffinLim, InverseMelScale
  from .None import utils
  from .interface import Tacotron2TTSBundle
label_desc: Use image node_id 1 to create a new _GriffinLimVocoder object from inherited base classes: torch.nn, Tacotron2TTSBundle with example: obj = _GriffinLimVocoder()