class_docstr: CTC-based grapheme-to-phoneme model.
class_docstr_tok: ["CTC-based","grapheme-to-phoneme","model","."]
code: def setup_multiple_test_data(
      self, test_data_config: Union[DictConfig, Dict] = None
  ):
      if (
          not test_data_config
          or test_data_config.manifest_filepath is None
      ):
          self._test_dl = None
          return
      super().setup_multiple_test_data(test_data_config)
  
imports: import os
  import string
  from dataclasses import dataclass
  from typing import Any, Dict, List, Optional, Union
  import torch
  from hydra.utils import instantiate
  from omegaconf import DictConfig, ListConfig, OmegaConf, open_dict
  from pytorch_lightning import Trainer
  from transformers import AutoConfig, AutoModel, AutoTokenizer
  from nemo.collections.tts.g2p.data.ctc import CTCG2PBPEDataset
  from nemo.collections.tts.models.base import G2PModel
  from nemo.core.classes.common import PretrainedModelInfo
  from nemo.utils import logging
label_desc: Use image node_id 16 for calling the CTCG2PModel obj's underlying member method code with example usage: obj.setup_multiple_test_data(test_data_config) without return types