code: def forward(self, data: "torch.Tensor") -> "torch.Tensor":
      return self._model(data)
  
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 2 for calling the Model obj's underlying member method code with example usage: obj.forward(data) and returns: self