code: def _generate_dummy_dataset(self) -> "torch.utils.data.DataLoader":
      data = torch.zeros(3, 4, dtype=torch.float32)
      target = torch.zeros(3, dtype=torch.int64)
      dataset = torch.utils.data.TensorDataset(data, target)
      return torch.utils.data.DataLoader(dataset, batch_size=1)
  
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 9 for calling the Model obj's underlying member method code with example usage: obj._generate_dummy_dataset() and returns: torch