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perf jevents: Add RAPL metrics for all Intel models

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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>
This commit is contained in:
Ian Rogers 2026-01-27 10:44:43 -08:00 committed by Arnaldo Carvalho de Melo
parent 3563030d4f
commit bab90b3b46
1 changed files with 41 additions and 3 deletions
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44
tools/perf/pmu-events/intel_metrics.py
View File

@ -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))