code: def train_dataloader(self) -> "torch.utils.data.DataLoader":
      return self._generate_dummy_dataset()
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  import numpy
  import pytest
  import optuna
  from optuna._imports import try_import
  from optuna.integration import PyTorchLightningPruningCallback
  from optuna.testing.pruners import DeterministicPruner
  from optuna.testing.storages import StorageSupplier
label_desc: Use image node_id 7 for calling the Model obj's underlying member method code with example usage: obj.train_dataloader() and returns: self