class_docstr: WaveGlow model (https://arxiv.org/abs/1811.00002) that is used to generate audio from mel spectrogram.
class_docstr_tok: ["WaveGlow","model","(","https",":","\/\/arxiv.org\/abs\/1811.00002",")","that","is","used","to","generate","audio","from","mel","spectrogram","."]
code: def input_module(self):
      return self.waveglow
  
imports: import torch
  from hydra.utils import instantiate
  from omegaconf import DictConfig, open_dict
  from pytorch_lightning.loggers import TensorBoardLogger
  from nemo.collections.tts.losses.waveglowloss import WaveGlowLoss
  from nemo.collections.tts.models.base import GlowVocoder
  from nemo.collections.tts.parts.utils.helpers import OperationMode, waveglow_log_to_tb_func
  from nemo.core.classes import Exportable
  from nemo.core.classes.common import PretrainedModelInfo, typecheck
  from nemo.core.neural_types.elements import AudioSignal, LengthsType, LogDeterminantType, MelSpectrogramType, NormalDistributionSamplesType, VoidType
  from nemo.core.neural_types.neural_type import NeuralType
  from nemo.utils import logging, model_utils
label_desc: Use image node_id 13 for calling the WaveGlowModel obj's underlying member method code with example usage: obj.input_module() and returns: self