perf test: Hybrid improvements for metric value validation test

On my alderlake I currently see for the "perf metrics value validation" test:

```
Total Test Count:  142
Passed Test Count:  139
[
Metric Relationship Error:      The collected value of metric ['tma_fetch_latency', 'tma_fetch_bandwidth', 'tma_frontend_bound']
                        is [31.137028] in workload(s): ['perf bench futex hash -r 2 -s']
                        but expected value range is [tma_frontend_bound, tma_frontend_bound]
                        Relationship rule description: 'Sum of the level 2 children should equal level 1 parent',
Metric Relationship Error:      The collected value of metric ['tma_memory_bound', 'tma_core_bound', 'tma_backend_bound']
                        is [6.564442] in workload(s): ['perf bench futex hash -r 2 -s']
                        but expected value range is [tma_backend_bound, tma_backend_bound]
                        Relationship rule description: 'Sum of the level 2 children should equal level 1 parent',
Metric Relationship Error:      The collected value of metric ['tma_light_operations', 'tma_heavy_operations', 'tma_retiring']
                        is [57.806179] in workload(s): ['perf bench futex hash -r 2 -s']
                        but expected value range is [tma_retiring, tma_retiring]
                        Relationship rule description: 'Sum of the level 2 children should equal level 1 parent']
Metric validation return with erros. Please check metrics reported with errors.
```

I suspect it is due to two metrics for different CPU types being
enabled. Add a -cputype option to avoid this. The test still fails with:

```
Total Test Count:  115
Passed Test Count:  114
[
Wrong Metric Value Error:       The collected value of metric ['tma_l2_hit_latency']
                        is [117.947088] in workload(s): ['perf bench futex hash -r 2 -s']
                        but expected value range is [0, 100]]
Metric validation return with errors. Please check metrics reported with errors.
```

which is a reproducible genuine error and likely requires a metric fix.

Signed-off-by: Ian Rogers <[email protected]>
Tested-by: Thomas Falcon <[email protected]>
Cc: Adrian Hunter <[email protected]>
Cc: Alexander Shishkin <[email protected]>
Cc: Ingo Molnar <[email protected]>
Cc: James Clark <[email protected]>
Cc: Jiri Olsa <[email protected]>
Cc: Kan Liang <[email protected]>
Cc: Mark Rutland <[email protected]>
Cc: Namhyung Kim <[email protected]>
Cc: Peter Zijlstra <[email protected]>
Cc: Weilin Wang <[email protected]>
Link: https://lore.kernel.org/r/[email protected]
Signed-off-by: Arnaldo Carvalho de Melo <[email protected]>

Author: captain5050

tools/perf/tests/shell/lib/perf_metric_validation.py

@@ -35,14 +35,16 @@ def __repr__(self) -> str:
 
 
 class Validator:
-    def __init__(self, rulefname, reportfname='', t=5, debug=False, datafname='', fullrulefname='', workload='true', metrics=''):
+    def __init__(self, rulefname, reportfname='', t=5, debug=False, datafname='', fullrulefname='',
+                 workload='true', metrics='', cputype='cpu'):
         self.rulefname = rulefname
         self.reportfname = reportfname
         self.rules = None
         self.collectlist: str = metrics
         self.metrics = self.__set_metrics(metrics)
         self.skiplist = set()
         self.tolerance = t
+        self.cputype = cputype
 
         self.workloads = [x for x in workload.split(",") if x]
         self.wlidx = 0  # idx of current workloads
@@ -377,7 +379,7 @@ def convert(self, data: list, metricvalues: dict):
 
     def _run_perf(self, metric, workload: str):
         tool = 'perf'
-        command = [tool, 'stat', '-j', '-M', f"{metric}", "-a"]
+        command = [tool, 'stat', '--cputype', self.cputype, '-j', '-M', f"{metric}", "-a"]
         wl = workload.split()
         command.extend(wl)
         print(" ".join(command))
@@ -443,6 +445,8 @@ def parse_perf_metrics(self):
                 if 'MetricName' not in m:
                     print("Warning: no metric name")
                     continue
+                if 'Unit' in m and m['Unit'] != self.cputype:
+                    continue
                 name = m['MetricName'].lower()
                 self.metrics.add(name)
                 if 'ScaleUnit' in m and (m['ScaleUnit'] == '1%' or m['ScaleUnit'] == '100%'):
@@ -578,6 +582,8 @@ def main() -> None:
     parser.add_argument(
         "-wl", help="Workload to run while data collection", default="true")
     parser.add_argument("-m", help="Metric list to validate", default="")
+    parser.add_argument("-cputype", help="Only test metrics for the given CPU/PMU type",
+                        default="cpu")
     args = parser.parse_args()
     outpath = Path(args.output_dir)
     reportf = Path.joinpath(outpath, 'perf_report.json')
@@ -586,7 +592,7 @@ def main() -> None:
 
     validator = Validator(args.rule, reportf, debug=args.debug,
                           datafname=datafile, fullrulefname=fullrule, workload=args.wl,
-                          metrics=args.m)
+                          metrics=args.m, cputype=args.cputype)
     ret = validator.test()
 
     return ret

tools/perf/tests/shell/stat_metrics_values.sh

@@ -16,11 +16,16 @@ workload="perf bench futex hash -r 2 -s"
 # Add -debug, save data file and full rule file
 echo "Launch python validation script $pythonvalidator"
 echo "Output will be stored in: $tmpdir"
-$PYTHON $pythonvalidator -rule $rulefile -output_dir $tmpdir -wl "${workload}"
-ret=$?
-rm -rf $tmpdir
-if [ $ret -ne 0 ]; then
-	echo "Metric validation return with erros. Please check metrics reported with errors."
-fi
+for cputype in /sys/bus/event_source/devices/cpu_*; do
+	cputype=$(basename "$cputype")
+	echo "Testing metrics for: $cputype"
+	$PYTHON $pythonvalidator -rule $rulefile -output_dir $tmpdir -wl "${workload}" \
+		-cputype "${cputype}"
+	ret=$?
+	rm -rf $tmpdir
+	if [ $ret -ne 0 ]; then
+		echo "Metric validation return with errors. Please check metrics reported with errors."
+	fi
+done
 exit $ret