Re: [PATCH v6 05/22] perf jevents: Mark metrics with experimental events as experimental
From: Ian Rogers
Date: Wed Sep 17 2025 - 16:49:50 EST
On Wed, Sep 17, 2025 at 11:02 AM Falcon, Thomas <thomas.falcon@xxxxxxxxx> wrote:
>
> On Wed, 2025-09-03 at 21:46 -0700, Ian Rogers wrote:
> > When metrics are made with experimental events it is desirable the
> > metric description also carries this information in case of metric
> > inaccuracies.
> >
> > Suggested-by: Perry Taylor <perry.taylor@xxxxxxxxx>
>
> Does this need a Signed-off-by?
It does, I'll fix in v7.
Thanks,
Ian
> Thanks,
> Tom
>
> > ---
> > tools/perf/pmu-events/metric.py | 44 +++++++++++++++++++++++++++++++++
> > 1 file changed, 44 insertions(+)
> >
> > diff --git a/tools/perf/pmu-events/metric.py b/tools/perf/pmu-events/metric.py
> > index 62d1a1e1d458..2029b6e28365 100644
> > --- a/tools/perf/pmu-events/metric.py
> > +++ b/tools/perf/pmu-events/metric.py
> > @@ -10,11 +10,13 @@ from typing import Dict, List, Optional, Set, Tuple, Union
> >
> > all_pmus = set()
> > all_events = set()
> > +experimental_events = set()
> >
> > def LoadEvents(directory: str) -> None:
> > """Populate a global set of all known events for the purpose of validating Event names"""
> > global all_pmus
> > global all_events
> > + global experimental_events
> > all_events = {
> > "context\\-switches",
> > "cpu\\-cycles",
> > @@ -32,6 +34,8 @@ def LoadEvents(directory: str) -> None:
> > all_pmus.add(x["Unit"])
> > if "EventName" in x:
> > all_events.add(x["EventName"])
> > + if "Experimental" in x and x["Experimental"] == "1":
> > + experimental_events.add(x["EventName"])
> > elif "ArchStdEvent" in x:
> > all_events.add(x["ArchStdEvent"])
> > except json.decoder.JSONDecodeError:
> > @@ -61,6 +65,18 @@ def CheckEvent(name: str) -> bool:
> > return name in all_events
> >
> >
> > +def IsExperimentalEvent(name: str) -> bool:
> > + global experimental_events
> > + if ':' in name:
> > + # Remove trailing modifier.
> > + name = name[:name.find(':')]
> > + elif '/' in name:
> > + # Name could begin with a PMU or an event, for now assume it is not experimental.
> > + return False
> > +
> > + return name in experimental_events
> > +
> > +
> > class MetricConstraint(Enum):
> > GROUPED_EVENTS = 0
> > NO_GROUP_EVENTS = 1
> > @@ -82,6 +98,10 @@ class Expression:
> > """Returns a simplified version of self."""
> > raise NotImplementedError()
> >
> > + def HasExperimentalEvents(self) -> bool:
> > + """Are experimental events used in the expression?"""
> > + raise NotImplementedError()
> > +
> > def Equals(self, other) -> bool:
> > """Returns true when two expressions are the same."""
> > raise NotImplementedError()
> > @@ -249,6 +269,9 @@ class Operator(Expression):
> >
> > return Operator(self.operator, lhs, rhs)
> >
> > + def HasExperimentalEvents(self) -> bool:
> > + return self.lhs.HasExperimentalEvents() or self.rhs.HasExperimentalEvents()
> > +
> > def Equals(self, other: Expression) -> bool:
> > if isinstance(other, Operator):
> > return self.operator == other.operator and self.lhs.Equals(
> > @@ -297,6 +320,10 @@ class Select(Expression):
> >
> > return Select(true_val, cond, false_val)
> >
> > + def HasExperimentalEvents(self) -> bool:
> > + return (self.cond.HasExperimentalEvents() or self.true_val.HasExperimentalEvents() or
> > + self.false_val.HasExperimentalEvents())
> > +
> > def Equals(self, other: Expression) -> bool:
> > if isinstance(other, Select):
> > return self.cond.Equals(other.cond) and self.false_val.Equals(
> > @@ -345,6 +372,9 @@ class Function(Expression):
> >
> > return Function(self.fn, lhs, rhs)
> >
> > + def HasExperimentalEvents(self) -> bool:
> > + return self.lhs.HasExperimentalEvents() or (self.rhs and self.rhs.HasExperimentalEvents())
> > +
> > def Equals(self, other: Expression) -> bool:
> > if isinstance(other, Function):
> > result = self.fn == other.fn and self.lhs.Equals(other.lhs)
> > @@ -384,6 +414,9 @@ class Event(Expression):
> > global all_events
> > raise Exception(f"No event {error} in:\n{all_events}")
> >
> > + def HasExperimentalEvents(self) -> bool:
> > + return IsExperimentalEvent(self.name)
> > +
> > def ToPerfJson(self):
> > result = re.sub('/', '@', self.name)
> > return result
> > @@ -416,6 +449,9 @@ class MetricRef(Expression):
> > def Simplify(self) -> Expression:
> > return self
> >
> > + def HasExperimentalEvents(self) -> bool:
> > + return False
> > +
> > def Equals(self, other: Expression) -> bool:
> > return isinstance(other, MetricRef) and self.name == other.name
> >
> > @@ -443,6 +479,9 @@ class Constant(Expression):
> > def Simplify(self) -> Expression:
> > return self
> >
> > + def HasExperimentalEvents(self) -> bool:
> > + return False
> > +
> > def Equals(self, other: Expression) -> bool:
> > return isinstance(other, Constant) and self.value == other.value
> >
> > @@ -465,6 +504,9 @@ class Literal(Expression):
> > def Simplify(self) -> Expression:
> > return self
> >
> > + def HasExperimentalEvents(self) -> bool:
> > + return False
> > +
> > def Equals(self, other: Expression) -> bool:
> > return isinstance(other, Literal) and self.value == other.value
> >
> > @@ -527,6 +569,8 @@ class Metric:
> > self.name = name
> > self.description = description
> > self.expr = expr.Simplify()
> > + if self.expr.HasExperimentalEvents():
> > + self.description += " (metric should be considered experimental as it contains experimental events)."
> > # Workraound valid_only_metric hiding certain metrics based on unit.
> > scale_unit = scale_unit.replace('/sec', ' per sec')
> > if scale_unit[0].isdigit():