diff --git a/tests/test_runner/test_runner.py b/tests/test_runner/test_runner.py
index 40494d92..cda9bac0 100644
--- a/tests/test_runner/test_runner.py
+++ b/tests/test_runner/test_runner.py
@@ -21,13 +21,12 @@ from mmengine.hooks import (CheckpointHook, DistSamplerSeedHook, Hook,
                             RuntimeInfoHook)
 from mmengine.logging import LogProcessor, MessageHub, MMLogger
 from mmengine.model import BaseDataPreprocessor, BaseModel, ImgDataPreprocessor
-from mmengine.optim import (AmpOptimWrapper, DefaultOptimWrapperConstructor,
-                            MultiStepLR, OptimWrapper, OptimWrapperDict,
-                            StepLR)
+from mmengine.optim import (DefaultOptimWrapperConstructor, MultiStepLR,
+                            OptimWrapper, OptimWrapperDict, StepLR)
 from mmengine.registry import (DATASETS, EVALUATOR, HOOKS, LOG_PROCESSORS,
                                LOOPS, METRICS, MODEL_WRAPPERS, MODELS,
-                               OPTIM_WRAPPER_CONSTRUCTORS, PARAM_SCHEDULERS,
-                               RUNNERS, Registry)
+                               OPTIM_WRAPPER_CONSTRUCTORS, OPTIM_WRAPPERS,
+                               PARAM_SCHEDULERS, RUNNERS, Registry)
 from mmengine.runner import (BaseLoop, EpochBasedTrainLoop, IterBasedTrainLoop,
                              Runner, TestLoop, ValLoop)
 from mmengine.runner.loops import _InfiniteDataloaderIterator
@@ -216,6 +215,11 @@ class ToyMetric2(BaseMetric):
         return dict(acc=1)
 
 
+@OPTIM_WRAPPERS.register_module()
+class ToyOptimWrapper(OptimWrapper):
+    ...
+
+
 @HOOKS.register_module()
 class ToyHook(Hook):
     priority = 'Lowest'
@@ -935,12 +939,13 @@ class TestRunner(TestCase):
         self.assertIsInstance(optim_wrapper, OptimWrapper)
         self.assertIs(optim_wrapper.optimizer, optimizer)
 
+        # Specify the type of optimizer wrapper
         model = nn.Linear(1, 1)
         optimizer = SGD(model.parameters(), lr=0.1)
         optim_wrapper_cfg = dict(
-            optimizer=optimizer, type='AmpOptimWrapper', accumulative_counts=2)
+            optimizer=optimizer, type='ToyOptimWrapper', accumulative_counts=2)
         optim_wrapper = runner.build_optim_wrapper(optim_wrapper_cfg)
-        self.assertIsInstance(optim_wrapper, AmpOptimWrapper)
+        self.assertIsInstance(optim_wrapper, ToyOptimWrapper)
         self.assertIs(optim_wrapper.optimizer, optimizer)
         self.assertEqual(optim_wrapper._accumulative_counts, 2)