code: def get_trainer_cls(
      cls, backend_config: BackendConfig
  ) -> tuple[type[DataParallelTrainer], dict[str, Any]]:
      raise ValueError(
          "Cannot construct a trainer from a local strategy."
      )
  
imports: from __future__ import annotations
  import contextlib
  from abc import ABC, abstractmethod
  from typing import Any, Callable, TYPE_CHECKING
  import torch
  from torch import nn
  from torch.optim import Optimizer
  from ludwig.modules.optimization_modules import create_optimizer
  from ludwig.utils.torch_utils import get_torch_device
label_desc: Use image node_id 18 for calling the LocalStrategy obj's underlying member method code with example usage: obj.get_trainer_cls(cls, backend_config) without return types