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",
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:
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
"""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()
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(
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(
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)
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
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
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
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
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():