docstr: :return: output - Validation data loader for the given input
docstr_tok: [":","return",":","output","-","Validation","data","loader","for","the","given","input"]
code: def val_dataloader(self):
      """
      :return: output - Validation data loader for the given input
      """
      return self.create_data_loader(self.df_val)
  
imports: import os
  import lightning
  import torch
  from lightning.pytorch.callbacks import EarlyStopping, LearningRateMonitor, ModelCheckpoint
  from lightning.pytorch.cli import LightningCLI
  from torch.nn import functional
  from torch.utils.data import DataLoader, random_split
  from torchmetrics.functional import accuracy
  from torchvision import datasets, transforms
  import mlflow.pytorch
label_desc: Use image node_id 5 for calling the MNISTDataModule obj's underlying member method code with example usage: obj.val_dataloader() and returns: self