class_docstr: HiFi-GAN model (https://arxiv.org/abs/2010.05646) that is used to generate audio from mel spectrogram.
class_docstr_tok: ["HiFi-GAN","model","(","https",":","\/\/arxiv.org\/abs\/2010.05646",")","that","is","used","to","generate","audio","from","mel","spectrogram","."]
docstr: Runs the generator, for inputs and outputs see input_types, and output_types
docstr_tok: ["Runs","the","generator",",","for","inputs","and","outputs","see","input_types",",","and","output_types"]
code: def forward(self, *, spec):
      """
      Runs the generator, for inputs and outputs see input_types, and output_types
      """
      return self.generator(x=spec)
  
imports: import itertools
  from pathlib import Path
  import torch
  import torch.nn.functional
  from hydra.utils import instantiate
  from omegaconf import DictConfig, OmegaConf, open_dict
  from pytorch_lightning.loggers.wandb import WandbLogger
  from nemo.collections.tts.losses.hifigan_losses import DiscriminatorLoss, FeatureMatchingLoss, GeneratorLoss
  from nemo.collections.tts.models.base import Vocoder
  from nemo.collections.tts.modules.hifigan_modules import MultiPeriodDiscriminator, MultiScaleDiscriminator
  from nemo.collections.tts.parts.utils.callbacks import LoggingCallback
  from nemo.collections.tts.parts.utils.helpers import get_batch_size, get_num_workers, plot_spectrogram_to_numpy
  from nemo.core.classes import Exportable
  from nemo.core.classes.common import PretrainedModelInfo, typecheck
  from nemo.core.neural_types.elements import AudioSignal, MelSpectrogramType
  from nemo.core.neural_types.neural_type import NeuralType
  from nemo.core.optim.lr_scheduler import compute_max_steps, prepare_lr_scheduler
  from nemo.utils import logging, model_utils
label_desc: Use image node_id 6 for calling the HifiGanModel obj's underlying member method code with example usage: obj.forward() and returns: self