code: def test_deepspeed_configure_optimizers():
      """Test that the deepspeed strategy with default initialization wraps the optimizer correctly."""
      from deepspeed.runtime.zero.stage_1_and_2 import (
          DeepSpeedZeroOptimizer,
      )
  
      fabric = Fabric(
          strategy=DeepSpeedStrategy(),
          accelerator="cuda",
          devices=1,
          precision="16-mixed",
      )
      fabric.launch()
      model = nn.Linear(3, 3)
      optimizer = torch.optim.SGD(model.parameters(), lr=0.01)
      model, optimizer = fabric.setup(model, optimizer)
      assert isinstance(optimizer.optimizer, DeepSpeedZeroOptimizer)
      assert isinstance(optimizer.optimizer.optimizer, torch.optim.SGD)
  
imports: import os
  from copy import deepcopy
  from unittest import mock
  from unittest.mock import ANY
  import pytest
  import torch
  import torch.nn
  import torch.nn.functional
  from lightning.fabric import Fabric
  from lightning.fabric.plugins import DeepSpeedPrecision
  from lightning.fabric.strategies import DeepSpeedStrategy
  from torch.utils.data import DataLoader
  from tests_fabric.helpers.models import RandomDataset, RandomIterableDataset
  from tests_fabric.helpers.runif import RunIf
  from tests_fabric.test_fabric import BoringModel
label_desc: Use image node_id 3 for calling a global function with example usage: test_deepspeed_configure_optimizers() without return types