code: def train_dataloader(self):
      train_dataset = MNIST(
          "./data", train=True, download=False, transform=self.transform
      )
      return torch.utils.data.DataLoader(
          train_dataset, batch_size=self.hparams.batch_size
      )
  
imports: import sys
  import torch
  import torchvision.transforms
  from torch.nn import functional
  import torch.nn
  from torchmetrics import Accuracy
  from torchvision.datasets.mnist import MNIST
  from pytorch_lightning import LightningModule
  from clearml import Task
label_desc: Use image node_id 8 for calling the ImageClassifier obj's underlying member method code with example usage: obj.train_dataloader() and returns: torch