code: def configure_optimizers(self) -> "torch.optim.Optimizer":
      return torch.optim.SGD(self._model.parameters(), lr=1e-2)
  
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 6 for calling the Model obj's underlying member method code with example usage: obj.configure_optimizers() and returns: torch