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: Generates input examples for tracing etc.
  Returns:
      A tuple of input examples.
docstr_tok: ["Generates","input","examples","for","tracing","etc",".","Returns",":","A","tuple","of","input","examples","."]
code: def input_example(self, max_batch=1, max_dim=256):
      """
      Generates input examples for tracing etc.
      Returns:
          A tuple of input examples.
      """
      par = next(self.parameters())
      mel = torch.randn(
          (max_batch, self.cfg["preprocessor"]["nfilt"], max_dim),
          device=self.device,
          dtype=par.dtype,
      )
      return ({"spec": mel},)
  
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 25 for calling the HifiGanModel obj's underlying member method code with example usage: obj.input_example(max_batch, max_dim) and returns: dict