code: def train_dataloader(self):
      dataset = RandomDataset(self.dataset_len)
      return torch.utils.data.DataLoader(
          dataset, batch_size=self.batch_size, drop_last=self.drop_last
      )
  
imports: import math
  import random
  import omegaconf
  import pytest
  import pytorch_lightning
  import torch
  import torch.optim
  from pytorch_lightning.utilities import rank_zero_only
  from nemo.core import config, optim
  from nemo.core.optim.lr_scheduler import AVAILABLE_SCHEDULERS
  from nemo.core.optim.optimizers import AVAILABLE_OPTIMIZERS
  from nemo.utils import logging
label_desc: Use image node_id 2 for calling the ExampleModel obj's underlying member method code with example usage: obj.train_dataloader() and returns: torch