perf stat: Use aggr_nr scaling for Intel uncore miss latency metrics

Update `metric.py` to support the new `aggr_nr` keyword in the python
metric generator. Replace the usage of `source_count` with `aggr_nr` in
`IntelMissLat` inside `intel_metrics.py` so that uncore latency metrics
(like `lpm_miss_lat`) scale correctly on multi-socket and SNC systems when
aggregated globally.

Additionally, update the validation bypass logic in `CheckEveryEvent()`
inside `metric.py` to whitelist 'cha' and 'uncore' events. This
prevents validation failures when compiling metrics referencing these
PMU-specific uncore events.

Assisted-by: Gemini:gemini-3.1-pro-preview
Signed-off-by: Chun-Tse Shao <ctshao@google.com>
Tested-by: Zide Chen <zide.chen@intel.com>
Acked-by: Namhyung Kim <namhyung@kernel.org>
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Ingo Molnar <mingo@redhat.com>
Cc: James Clark <james.clark@linaro.org>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Leo Yan <leo.yan@arm.com>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Sandipan Das <sandipan.das@amd.com>
Cc: Thomas Falcon <thomas.falcon@intel.com>
Cc: Yang Li <yang.lee@linux.alibaba.com>
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>

tools/perf/pmu-events/intel_metrics.py

@@ -7,7 +7,7 @@ import os
 import re
 from typing import Optional
 from common_metrics import Cycles
-from metric import (d_ratio, has_event, max, source_count, CheckPmu, Event,
+from metric import (d_ratio, has_event, max, aggr_nr, CheckPmu, Event,
                     JsonEncodeMetric, JsonEncodeMetricGroupDescriptions,
                     Literal, LoadEvents, Metric, MetricConstraint, MetricGroup,
                     MetricRef, Select)
@@ -735,10 +735,10 @@ def IntelMissLat() -> Optional[MetricGroup]:
     else:
         assert data_rd_loc_occ.name == "UNC_CHA_TOR_OCCUPANCY.IA_MISS_DRD_LOCAL", data_rd_loc_occ
 
-    ticks_per_cha = ticks / source_count(data_rd_loc_ins)
+    ticks_per_cha = ticks / aggr_nr(data_rd_loc_ins)
     loc_lat = interval_sec * 1e9 * data_rd_loc_occ / \
         (ticks_per_cha * data_rd_loc_ins)
-    ticks_per_cha = ticks / source_count(data_rd_rem_ins)
+    ticks_per_cha = ticks / aggr_nr(data_rd_rem_ins)
     rem_lat = interval_sec * 1e9 * data_rd_rem_occ / \
         (ticks_per_cha * data_rd_rem_ins)
     return MetricGroup("lpm_miss_lat", [

tools/perf/pmu-events/metric.py

@@ -93,7 +93,7 @@ def CheckEveryEvent(*names: str) -> None:
       name = name[:name.find(':')]
     elif '/' in name:
       name = name[:name.find('/')]
-      if any([name.startswith(x) for x in ['amd', 'arm', 'cpu', 'msr', 'power']]):
+      if any([name.startswith(x) for x in ['amd', 'arm', 'cpu', 'msr', 'power', 'cha', 'uncore']]):
         continue
     if name not in all_events_all_models:
       raise Exception(f"Is {name} a named json event?")
@@ -576,6 +576,11 @@ def source_count(event: Event) -> Function:
   return Function('source_count', event)
 
 
+def aggr_nr(event: Event) -> Function:
+  # pylint: disable=invalid-name
+  return Function('aggr_nr', event)
+
+
 def has_event(event: Event) -> Function:
   # pylint: disable=redefined-builtin
   # pylint: disable=invalid-name
@@ -762,7 +767,7 @@ def ParsePerfJson(orig: str) -> Expression:
   # Convert accidentally converted scientific notation constants back
   py = re.sub(r'([0-9]+)Event\(r"(e[0-9]*)"\)', r'\1\2', py)
   # Convert all the known keywords back from events to just the keyword
-  keywords = ['if', 'else', 'min', 'max', 'd_ratio', 'source_count', 'has_event', 'strcmp_cpuid_str']
+  keywords = ['if', 'else', 'min', 'max', 'd_ratio', 'source_count', 'aggr_nr', 'has_event', 'strcmp_cpuid_str']
   for kw in keywords:
     py = re.sub(rf'Event\(r"{kw}"\)', kw, py)
   try: