fix wrong accuracy_status when exception. (#165731)

When I debug `XPU` accruacy issue, I found the script output wrong accuracy_status.
When the `try` block raise an exception, we should process the exception, but not return the `fail_accuracy`.

Before fixing, it returned as `fail_accuracy`:
<img width="1109" height="216" alt="image" src="https://github.com/user-attachments/assets/385c354f-fbf6-48e4-a1be-3e37e987341b" />

After fixing, it returned the exception message:
<img width="1101" height="292" alt="image" src="https://github.com/user-attachments/assets/f18c0e3c-8358-4ec7-a6bb-c2e01b69d27f" />

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165731
Approved by: https://github.com/Stonepia, https://github.com/chuanqi129, https://github.com/Lucaskabela

benchmarks/dynamo/common.py

@@ -2284,9 +2284,11 @@ class BenchmarkRunner:
                     )
                 ):
                     is_same = False
-            except Exception:
+            except Exception as e:
                 # Sometimes torch.allclose may throw RuntimeError
-                is_same = False
+                exception_string = str(e)
+                accuracy_status = f"fail_exception: {exception_string}"
+                return record_status(accuracy_status, dynamo_start_stats=start_stats)
 
             if not is_same:
                 accuracy_status = "eager_two_runs_differ"
@@ -2403,9 +2405,11 @@ class BenchmarkRunner:
                     force_max_multiplier=force_max_multiplier,
                 ):
                     is_same = False
-            except Exception:
+            except Exception as e:
                 # Sometimes torch.allclose may throw RuntimeError
-                is_same = False
+                exception_string = str(e)
+                accuracy_status = f"fail_exception: {exception_string}"
+                return record_status(accuracy_status, dynamo_start_stats=start_stats)
 
             if not is_same:
                 if self.args.skip_accuracy_check: