code: def predict_dataloader(self):
      dataset = OnesDataset(2)
      return torch.utils.data.DataLoader(dataset, batch_size=2)
  
imports: import os
  import shutil
  import torch
  from omegaconf import OmegaConf
  from pytorch_lightning import Trainer
  from pytorch_lightning.utilities import rank_zero_only
  from nemo.core import ModelPT
  from nemo.utils import logging
  from nemo.utils.exp_manager import ExpManagerConfig, exp_manager
label_desc: Use image node_id 4 for calling the ExampleModel obj's underlying member method code with example usage: obj.predict_dataloader() and returns: torch