code: def setup_validation_data(
      self, val_data_config: Optional[DictConfig] = None
  ):
      if val_data_config is None:
          val_data_config = self._cfg.validation_ds
  
      self._validation_dl = self._setup_dataloader_from_config(
          cfg=val_data_config
      )
  
imports: import os
  from typing import Dict, Optional, Union
  import numpy
  import torch
  from omegaconf import DictConfig
  from pytorch_lightning import Trainer
  from nemo.collections.common.losses import CrossEntropyLoss, MSELoss
  from nemo.collections.nlp.data.glue_benchmark.glue_benchmark_dataset import GLUE_TASKS_NUM_LABELS, GLUEDataset
  from nemo.collections.nlp.models.glue_benchmark.metrics_for_glue import compute_metrics
  from nemo.collections.nlp.models.nlp_model import NLPModel
  from nemo.collections.nlp.modules.common import SequenceClassifier, SequenceRegression
  from nemo.collections.nlp.parts.utils_funcs import list2str, tensor2list
  from nemo.core.classes import typecheck
  from nemo.core.neural_types import NeuralType
  from nemo.utils import logging
label_desc: Use image node_id 11 for calling the GLUEModel obj's underlying member method code with example usage: obj.setup_validation_data(val_data_config) without return types