diff --git a/ucm/integration/vllm/patch/patch_funcs/v092/vllm_ascend_adapt.py b/ucm/integration/vllm/patch/patch_funcs/v092/vllm_ascend_adapt.py
index 1350775d..b16e65a0 100644
--- a/ucm/integration/vllm/patch/patch_funcs/v092/vllm_ascend_adapt.py
+++ b/ucm/integration/vllm/patch/patch_funcs/v092/vllm_ascend_adapt.py
@@ -117,7 +117,25 @@ def maybe_execute_sparse_attention_finished(
             maybe_execute_sparse_attention_finished
         )
 
-        def unified_ascend_attention_with_output(
+        vllm_ops = torch.ops.vllm
+        orig_unified_ascend_attention_with_output = (
+            vllm_ops.unified_ascend_attention_with_output
+        )
+
+        def _wrap_op_overload(orig, impl):
+            class _Wrapper:
+                def __init__(self, orig):
+                    self._orig = orig
+
+                def __call__(self, *args, **kwargs):
+                    return impl(*args, **kwargs)
+
+                def __getattr__(self, name):
+                    return getattr(self._orig, name)
+
+            return _Wrapper(orig)
+
+        def unified_ascend_attention_with_output_impl(
             query: torch.Tensor,
             key: torch.Tensor,
             value: torch.Tensor,
@@ -151,8 +169,13 @@ def unified_ascend_attention_with_output(
             maybe_save_kv_layer_to_connector(layer_name, kv_cache)
             return
 
+        vllm_ops.unified_ascend_attention_with_output = _wrap_op_overload(
+            orig_unified_ascend_attention_with_output,
+            unified_ascend_attention_with_output_impl,
+        )
+
         attention_v1.unified_ascend_attention_with_output = (
-            unified_ascend_attention_with_output
+            unified_ascend_attention_with_output_impl
         )
     except ImportError as e:
         logger.error(f"Failed to patch attention_v1.py: {e}", exc_info=True)