code: def _setup_normalizer(self, cfg):
      if "text_normalizer" in cfg:
          normalizer_kwargs = {}
  
          if "whitelist" in cfg.text_normalizer:
              normalizer_kwargs["whitelist"] = self.register_artifact(
                  "text_normalizer.whitelist",
                  cfg.text_normalizer.whitelist,
              )
  
          try:
              import nemo_text_processing
  
              self.normalizer = instantiate(
                  cfg.text_normalizer, **normalizer_kwargs
              )
              self.text_normalizer_call = self.normalizer.normalize
          except Exception as e:
              logging.error(e)
              raise ImportError(
                  "`nemo_text_processing` not installed, see https://github.com/NVIDIA/NeMo-text-processing for more details"
              )
          if "text_normalizer_call_kwargs" in cfg:
              self.text_normalizer_call_kwargs = (
                  cfg.text_normalizer_call_kwargs
              )
  
imports: import contextlib
  import omegaconf
  import torch
  from hydra.utils import instantiate
  from omegaconf import DictConfig, OmegaConf
  from pytorch_lightning import Trainer
  from pytorch_lightning.loggers import WandbLogger
  from torch.cuda.amp import autocast
  from torch.nn import functional
  from nemo.collections.tts.data.dataset import DistributedBucketSampler
  from nemo.collections.tts.losses.vits_losses import DiscriminatorLoss, FeatureMatchingLoss, GeneratorLoss, KlLoss
  from nemo.collections.tts.models.base import TextToWaveform
  from nemo.collections.tts.modules.vits_modules import MultiPeriodDiscriminator
  from nemo.collections.tts.parts.utils.helpers import clip_grad_value_, g2p_backward_compatible_support, plot_spectrogram_to_numpy, slice_segments
  from nemo.collections.tts.torch.tts_data_types import SpeakerID
  from nemo.core.classes.common import PretrainedModelInfo, typecheck
  from nemo.core.neural_types.elements import AudioSignal, FloatType, Index, IntType, TokenIndex
  from nemo.core.neural_types.neural_type import NeuralType
  from nemo.core.optim.lr_scheduler import CosineAnnealing
  from nemo.utils import logging, model_utils
  from nemo.utils.decorators.experimental import experimental
label_desc: Use image node_id 2 for calling the VitsModel obj's underlying member method code with example usage: obj._setup_normalizer(cfg) without return types