code: def train_dataloader(self):
      return DataLoader(
          CIFAR10(
              root=_PATH_DATASETS,
              train=True,
              download=True,
              transform=self.transform,
          ),
          batch_size=32,
          num_workers=1,
      )
  
file_path: pytorch-lightning/tests/parity_pytorch/models.py
imports: import torch
  import torch.nn.functional
  from lightning.pytorch.core.module import LightningModule
  from lightning.pytorch.utilities.imports import _TORCHVISION_AVAILABLE
  from lightning.pytorch.utilities.model_helpers import get_torchvision_model
  from tests_pytorch import _PATH_DATASETS
  from torch.utils.data import DataLoader
label_desc: Use image node_id 4 for calling the ParityModuleCIFAR obj's underlying member method code with example usage: obj.train_dataloader() and returns: DataLoader