code: def __init__(
      self, model: WaveRNN, min_level_db: Optional[float] = -100
  ):
      super().__init__()
      self._sample_rate = 22050
      self._model = model
      self._min_level_db = min_level_db
  
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 _WaveRNNVocoder object from inherited base classes: torch.nn, Tacotron2TTSBundle with example: obj = _WaveRNNVocoder(model, min_level_db)