class_docstr: Mixer-TTS and Mixer-TTS-X models (https://arxiv.org/abs/2110.03584) that is used to generate mel spectrogram from text.
class_docstr_tok: ["Mixer-TTS","and","Mixer-TTS-X","models","(","https",":","\/\/arxiv.org\/abs\/2110.03584",")","that","is","used","to","generate","mel","spectrogram","from","text","."]
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
              )
          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"
              )
  
          self.text_normalizer_call = self.normalizer.normalize
          if "text_normalizer_call_kwargs" in cfg:
              self.text_normalizer_call_kwargs = (
                  cfg.text_normalizer_call_kwargs
              )
  
imports: import contextlib
  from typing import List, Optional
  import numpy
  import omegaconf
  import torch
  import transformers
  import wandb
  from hydra.utils import instantiate
  from omegaconf import DictConfig
  from pytorch_lightning import Trainer
  from pytorch_lightning.loggers import WandbLogger
  from torch import nn
  from torch.nn import functional
  from transformers import AlbertTokenizer
  from nemo.collections.common.tokenizers.text_to_speech.tts_tokenizers import EnglishCharsTokenizer, EnglishPhonemesTokenizer
  from nemo.collections.tts.losses.aligner_loss import BinLoss, ForwardSumLoss
  from nemo.collections.tts.models.base import SpectrogramGenerator
  from nemo.collections.tts.modules.fastpitch import average_features, regulate_len
  from nemo.collections.tts.parts.utils.helpers import binarize_attention_parallel, g2p_backward_compatible_support, get_mask_from_lengths, plot_pitch_to_numpy, plot_spectrogram_to_numpy
  from nemo.core import Exportable
  from nemo.core.classes.common import PretrainedModelInfo, typecheck
  from nemo.core.neural_types.elements import LengthsType, LogprobsType, MelSpectrogramType, ProbsType, RegressionValuesType, TokenDurationType, TokenIndex, TokenLogDurationType
  from nemo.core.neural_types.neural_type import NeuralType
  from nemo.utils import logging, model_utils
label_desc: Use image node_id 2 for calling the MixerTTSModel obj's underlying member method code with example usage: obj._setup_normalizer(cfg) without return types