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Subject[PATCH v3 01/20] perf jevents: Add RAPL metrics for all Intel models
From
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>
---
tools/perf/pmu-events/intel_metrics.py | 45 ++++++++++++++++++++++++--
1 file changed, 42 insertions(+), 3 deletions(-)

diff --git a/tools/perf/pmu-events/intel_metrics.py b/tools/perf/pmu-events/intel_metrics.py
index 04a19d05c6c1..58e23eb48312 100755
--- a/tools/perf/pmu-events/intel_metrics.py
+++ b/tools/perf/pmu-events/intel_metrics.py
@@ -1,13 +1,49 @@
#!/usr/bin/env python3
# SPDX-License-Identifier: (LGPL-2.1 OR BSD-2-Clause)
-from metric import (JsonEncodeMetric, JsonEncodeMetricGroupDescriptions, LoadEvents,
- MetricGroup)
+from metric import (d_ratio, has_event, Event, JsonEncodeMetric, JsonEncodeMetricGroupDescriptions,
+ LoadEvents, Metric, MetricGroup, Select)
import argparse
import json
+import math
import os

# 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("cpu_power_pkg", "",
+ d_ratio(cond_pkg * scale, interval_sec), "Watts"),
+ Metric("cpu_power_cores", "",
+ d_ratio(cond_cores * scale, interval_sec), "Watts"),
+ Metric("cpu_power_ram", "",
+ d_ratio(cond_ram * scale, interval_sec), "Watts"),
+ Metric("cpu_power_gpu", "",
+ d_ratio(cond_gpu * scale, interval_sec), "Watts"),
+ Metric("cpu_power_psys", "",
+ d_ratio(cond_psys * scale, interval_sec), "Watts"),
+ ]
+
+ return MetricGroup("cpu_power", metrics,
+ description="Running Average Power Limit (RAPL) power consumption estimates")
+

def main() -> None:
global _args
@@ -31,7 +67,10 @@ 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))
--
2.44.0.278.ge034bb2e1d-goog

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