code: def val_dataloader(self, batch_size=None, limit_num_samples=None):
      log.info("Validation data loaded.")
      return self.__dataloader(
          train=False,
          batch_size=batch_size,
          limit_num_samples=limit_num_samples,
      )
  
imports: import logging
  from pathlib import Path
  from typing import Union
  import numpy
  import torch
  import torch.nn.functional
  from torch import nn, optim
  from torch.optim.lr_scheduler import MultiStepLR
  from torch.optim.optimizer import Optimizer
  from torch.utils.data import DataLoader, Subset
  from torchmetrics.classification import MulticlassAccuracy
  from torchvision import models, transforms
  from torchvision.datasets import ImageFolder
  from torchvision.datasets.utils import download_and_extract_archive
  from pytorch_lightning import LightningDataModule, LightningModule
  from pytorch_lightning.callbacks.finetuning import BaseFinetuning
  from pytorch_lightning.utilities.rank_zero import rank_zero_info
label_desc: Use image node_id 10 for calling the CatDogImageDataModule obj's underlying member method code with example usage: obj.val_dataloader(batch_size, limit_num_samples) and returns: self