[Benchmark] Add compile time measurement to CI benchmarks

Add --measure-compile-time flag to the benchmark runner that captures
per-shape Helion kernel compile time using the existing CompileTimeTracker
infrastructure. Results are reported as helion_compile_time_s in the
PyTorch HUD v3 JSON format, enabling continuous monitoring and regression
detection on the dashboard.

Author: choijon5

.github/workflows/benchmark.yml

@@ -194,6 +194,7 @@ jobs:
             ${{ inputs.env-vars }} HELION_PRINT_OUTPUT_CODE=1 HELION_ASSERT_CACHE_HIT=1 python benchmarks/run.py \
                 --op $kernel \
                 --metrics speedup,accuracy \
+                --measure-compile-time \
                 --latency-measure-mode triton_do_bench \
                 --cudagraph \
                 --only $IMPLS \

benchmarks/run.py

@@ -46,6 +46,8 @@
 from torch.utils._pytree import tree_map
 
 from helion._compat import get_device_name
+from helion._compile_time import get_total_time as get_compile_total_time
+from helion._compile_time import reset as reset_compile_time
 from helion._testing import get_nvidia_gpu_model
 from helion._utils import counters
 from helion.autotuner.metrics import AutotuneMetrics
@@ -1023,6 +1025,7 @@ def run_kernel(
     results: list[RunResult],
     kernel_mappings: dict[str, tuple[str, ...]] | None = None,
     kernel_metric_mappings: dict[str, dict[str, str]] | None = None,
+    measure_compile_time: bool = False,
 ) -> None:
     """Run a kernel benchmark, handling both single and multiple variants."""
     # Use provided mappings or default to global mappings
@@ -1081,6 +1084,7 @@ def run_kernel(
         operator_args,
         results,
         active_metrics,
+        measure_compile_time=measure_compile_time,
     )
 
 
@@ -1093,6 +1097,7 @@ def run_kernel_variants(
     operator_args: dict[str, Any] | None,
     results: list[RunResult],
     kernel_metric_mappings: dict[str, dict[str, str]] | None = None,
+    measure_compile_time: bool = False,
 ) -> None:
     """Run kernel variants in the same benchmark run."""
 
@@ -1183,6 +1188,9 @@ def run_kernel_variants(
     # pyrefly: ignore [missing-import]
     from tritonbench.utils.triton_op import register_benchmark
 
+    # Compile time tracking per variant
+    variant_compile_times: dict[str, list[float]] = {}
+
     # Register all variants as separate methods
     for module_path, func_name in variants:
         # Import the kernel function
@@ -1207,6 +1215,7 @@ def run_kernel_variants(
         def create_helion_method(
             mod: Any,  # noqa: ANN401
             kfunc: Callable[..., Any],
+            compile_time_list: list[float] | None = None,
         ) -> Callable[..., Any]:
             def helion_method(
                 self: object,
@@ -1245,6 +1254,29 @@ def helion_method(
                     measured_func_callable = kfunc(self, *args, **kwargs)
 
                 assert callable(measured_func_callable)
+
+                if compile_time_list is not None:
+                    original = measured_func_callable
+                    first_call = True
+                    ct_list = compile_time_list
+
+                    def timed_callable() -> object:
+                        nonlocal first_call
+                        if first_call:
+                            first_call = False
+                            torch.cuda.synchronize()
+                            reset_compile_time()
+                            try:
+                                result = original()
+                            except Exception:
+                                ct_list.append(get_compile_total_time())
+                                raise
+                            ct_list.append(get_compile_total_time())
+                            return result
+                        return original()
+
+                    return timed_callable
+
                 return measured_func_callable
 
             return helion_method
@@ -1253,6 +1285,12 @@ def helion_method(
         variant_name = func_name
         helion_method_name = f"helion_{variant_name}"
 
+        # Set up compile time tracking for this variant
+        compile_times: list[float] | None = None
+        if measure_compile_time:
+            compile_times = []
+            variant_compile_times[func_name] = compile_times
+
         # Use register_benchmark decorator
         decorated_method = register_benchmark(
             operator_name=operator_name,
@@ -1261,7 +1299,7 @@ def helion_method(
             enabled=True,
             fwd_only=False,
             label=helion_method_name,
-        )(create_helion_method(module, kernel_func))
+        )(create_helion_method(module, kernel_func, compile_times))
 
         # Set the decorated method on the Operator class
         setattr(Operator, helion_method_name, decorated_method)
@@ -1350,6 +1388,40 @@ def accuracy_fail_hook(
         except Exception:
             logger.exception("failed to process results")
 
+    # Add compile time metrics (per-shape, same format as speedup)
+    if measure_compile_time and variant_compile_times:
+        # Get shapes from the most recent result for this kernel
+        kernel_results = [r for r in results if r.model == kernel_name]
+        shapes = kernel_results[-1].shape if kernel_results else []
+        device = get_device_name() or "unknown"
+        for func_name, times in variant_compile_times.items():
+            if not times:
+                continue
+            # Align compile times with shapes (both are in input order)
+            if len(times) != len(shapes):
+                logger.warning(
+                    f"Compile time count ({len(times)}) != shape count "
+                    f"({len(shapes)}) for {kernel_name}/{func_name}, skipping"
+                )
+                continue
+            metric_name = "helion_compile_time_s"
+            if len(variants) > 1:
+                metric_name = f"helion_{func_name}_compile_time_s"
+            results.append(
+                RunResult(
+                    model=kernel_name,
+                    device=device,
+                    shape=shapes,
+                    metrics={metric_name: times},
+                )
+            )
+            print(
+                f"Compile time for {kernel_name}/{func_name}: "
+                f"{', '.join(f'{t:.3f}s' for t in times)} "
+                f"({len(times)} shapes)",
+                file=sys.stderr,
+            )
+
     # Force garbage collection multiple times to ensure memory is freed
     for _ in range(3):
         gc.collect()
@@ -1607,6 +1679,12 @@ def main() -> None:
         help="Export autotune metrics to a JSON file at the given path. "
         "Also set via HELION_AUTOTUNE_METRICS_JSON=<path>.",
     )
+    parser.add_argument(
+        "--measure-compile-time",
+        action="store_true",
+        help="Measure and report Helion kernel compile time (seconds) for each input shape. "
+        "Results are included in JSON output as helion_compile_time_s metric.",
+    )
 
     # Parse known args to get the kernel name, pass rest to tritonbench
     args, tritonbench_args = parser.parse_known_args()
@@ -1729,6 +1807,9 @@ def main() -> None:
 
     results: list[RunResult] = []
 
+    if args.measure_compile_time:
+        os.environ["HELION_MEASURE_COMPILE_TIME"] = "1"
+
     collected_metrics: list[AutotuneMetrics] = []
     if args.autotune_metrics or args.autotune_metrics_json:
         register_post_autotune_hook(collected_metrics.append)
@@ -1759,6 +1840,7 @@ def main() -> None:
                 results,
                 active_kernel_mappings,
                 active_metric_mappings,
+                measure_compile_time=args.measure_compile_time,
             )
         else:
             print(
@@ -1776,6 +1858,7 @@ def main() -> None:
                     results,
                     active_kernel_mappings,
                     active_metric_mappings,
+                    measure_compile_time=args.measure_compile_time,
                 )
     else:
         # Run all kernels
@@ -1793,6 +1876,7 @@ def main() -> None:
                 results,
                 active_kernel_mappings,
                 active_metric_mappings,
+                measure_compile_time=args.measure_compile_time,
             )
 
     if args.output:

helion/_compile_time.py

@@ -207,6 +207,10 @@ def _print_line(self, name: str, elapsed: float, total: float, indent: int) -> N
             file=sys.stderr,
         )
 
+    def get_total_time(self) -> float:
+        """Get total top-level compile time in seconds."""
+        return sum(self._timings.get(name, 0.0) for name in self._TOP_LEVEL)
+
     def reset(self) -> None:
         """Reset all timing data."""
         with self._timer_lock:
@@ -298,3 +302,8 @@ def print_report() -> None:
 def reset() -> None:
     """Reset all timing data."""
     get_tracker().reset()
+
+
+def get_total_time() -> float:
+    """Get total top-level compile time from the global tracker."""
+    return get_tracker().get_total_time()