perf jevents: Add RAPL metrics for all Intel models

Add a 'cpu_power' metric group that computes the power consumption
from RAPL events if they are present.

Signed-off-by: Ian Rogers <irogers@google.com>
Tested-by: Thomas Falcon <thomas.falcon@intel.com>
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Benjamin Gray <bgray@linux.ibm.com>
Cc: Caleb Biggers <caleb.biggers@intel.com>
Cc: Edward Baker <edward.baker@intel.com>
Cc: Ingo Molnar <mingo@redhat.com>
Cc: James Clark <james.clark@linaro.org>
Cc: Jing Zhang <renyu.zj@linux.alibaba.com>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: John Garry <john.g.garry@oracle.com>
Cc: Leo Yan <leo.yan@arm.com>
Cc: Namhyung Kim <namhyung@kernel.org>
Cc: Perry Taylor <perry.taylor@intel.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Sandipan Das <sandipan.das@amd.com>
Cc: Weilin Wang <weilin.wang@intel.com>
Cc: Xu Yang <xu.yang_2@nxp.com>
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>

1 files changed, 41 insertions, 3 deletions

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index b287ef115193..61778deedfff 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -1,12 +1,48 @@
 #!/usr/bin/env python3
 # SPDX-License-Identifier: (LGPL-2.1 OR BSD-2-Clause)
 import argparse
+import math
 import os
-from metric import (JsonEncodeMetric, JsonEncodeMetricGroupDescriptions, LoadEvents,
-                    MetricGroup)
+from metric import (d_ratio, has_event, Event, JsonEncodeMetric, JsonEncodeMetricGroupDescriptions,
+                    LoadEvents, Metric, MetricGroup, Select)
 
 # Global command line arguments.
 _args = None
+interval_sec = Event("duration_time")
+
+
+def Rapl() -> MetricGroup:
+    """Processor power consumption estimate.
+
+    Use events from the running average power limit (RAPL) driver.
+    """
+    # Watts = joules/second
+    pkg = Event("power/energy\\-pkg/")
+    cond_pkg = Select(pkg, has_event(pkg), math.nan)
+    cores = Event("power/energy\\-cores/")
+    cond_cores = Select(cores, has_event(cores), math.nan)
+    ram = Event("power/energy\\-ram/")
+    cond_ram = Select(ram, has_event(ram), math.nan)
+    gpu = Event("power/energy\\-gpu/")
+    cond_gpu = Select(gpu, has_event(gpu), math.nan)
+    psys = Event("power/energy\\-psys/")
+    cond_psys = Select(psys, has_event(psys), math.nan)
+    scale = 2.3283064365386962890625e-10
+    metrics = [
+        Metric("lpm_cpu_power_pkg", "",
+               d_ratio(cond_pkg * scale, interval_sec), "Watts"),
+        Metric("lpm_cpu_power_cores", "",
+               d_ratio(cond_cores * scale, interval_sec), "Watts"),
+        Metric("lpm_cpu_power_ram", "",
+               d_ratio(cond_ram * scale, interval_sec), "Watts"),
+        Metric("lpm_cpu_power_gpu", "",
+               d_ratio(cond_gpu * scale, interval_sec), "Watts"),
+        Metric("lpm_cpu_power_psys", "",
+               d_ratio(cond_psys * scale, interval_sec), "Watts"),
+    ]
+
+    return MetricGroup("lpm_cpu_power", metrics,
+                       description="Running Average Power Limit (RAPL) power consumption estimates")
 
 
 def main() -> None:
@@ -33,7 +69,9 @@ def main() -> None:
     directory = f"{_args.events_path}/x86/{_args.model}/"
     LoadEvents(directory)
 
-    all_metrics = MetricGroup("", [])
+    all_metrics = MetricGroup("", [
+        Rapl(),
+    ])
 
     if _args.metricgroups:
         print(JsonEncodeMetricGroupDescriptions(all_metrics))