Re: [PATCH v1 01/20] perf jevents: Add RAPL metrics for all Intel models

["Liang, Kan" <kan.liang@linux.intel.com>]

On 2024-02-28 7:17 p.m., Ian Rogers wrote:
> 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 4fbb31c9eccd..5827f555005f 100755
> --- a/tools/perf/pmu-events/intel_metrics.py
> +++ b/tools/perf/pmu-events/intel_metrics.py
> @@ -1,9 +1,10 @@
>  #!/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
>  
>  parser = argparse.ArgumentParser(description="Intel perf json generator")
> @@ -14,7 +15,45 @@ args = parser.parse_args()
>  directory = f"{os.path.dirname(os.path.realpath(__file__))}/arch/x86/{args.model}/"
>  LoadEvents(directory)
>  
> -all_metrics = MetricGroup("",[])
> +interval_sec = Event("duration_time")
> +
> +def Rapl() -> MetricGroup:
> +  """Processor socket 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="Processor socket power consumption estimates")

As far as I know, the RAPL counters are to monitor energy consumption
across different domains. The scope may not always be a socket. I think
the description may brings confusions.
Maybe we just call it "RAPL power consumption estimates", or "Running
Average Power Limit (RAPL) power consumption estimates".

Thanks,
Kan
> +
> +
> +all_metrics = MetricGroup("", [
> +    Rapl(),
> +])
>  
>  if args.metricgroups:
>    print(JsonEncodeMetricGroupDescriptions(all_metrics))