perf test: Add skip list for metrics known would fail

Add skip list for metrics known would fail because some of the metrics are
very likely to fail due to multiplexing or other errors. So add all of the
flaky tests into the skip list.
Signed-off-by: Weilin Wang <weilin.wang@intel.com>
Tested-by: Namhyung Kim <namhyung@kernel.org>
Cc: ravi.bangoria@amd.com
Cc: Ian Rogers <irogers@google.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Cc: Adrian Hunter <adrian.hunter@intel.com>
Cc: Caleb Biggers <caleb.biggers@intel.com>
Cc: Perry Taylor <perry.taylor@intel.com>
Cc: Samantha Alt <samantha.alt@intel.com>
Cc: Arnaldo Carvalho de Melo <acme@kernel.org>
Cc: Jiri Olsa <jolsa@kernel.org>
Cc: Kan Liang <kan.liang@linux.intel.com>
Cc: Ingo Molnar <mingo@redhat.com>
Link: https://lore.kernel.org/r/20230620170027.1861012-3-weilin.wang@intel.comSigned-off-by: Namhyung Kim <namhyung@kernel.org>

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

@@ -12,7 +12,7 @@ class Validator:
         self.reportfname = reportfname
         self.rules = None
         self.collectlist=metrics
-        self.metrics = set()
+        self.metrics = set(metrics)
         self.tolerance = t
 
         self.workloads = [x for x in workload.split(",") if x]
@@ -148,6 +148,7 @@ class Validator:
                 self.errlist.append("Metric '%s' is not collected"%(name))
             elif val < 0:
                 negmetric.add("{0}(={1:.4f})".format(name, val))
+                self.collectlist[0].append(name)
             else:
                 pcnt += 1
             tcnt += 1
@@ -266,6 +267,7 @@ class Validator:
                 passcnt += 1
             else:
                 faillist.append({'MetricName':m['Name'], 'CollectedValue':result})
+                self.collectlist[0].append(m['Name'])
 
         self.totalcnt += totalcnt
         self.passedcnt += passcnt
@@ -348,7 +350,7 @@ class Validator:
             if rule["TestType"] == "RelationshipTest":
                 metrics = [m["Name"] for m in rule["Metrics"]]
                 if not any(m not in collectlist[0] for m in metrics):
-                    collectlist[rule["RuleIndex"]] = set(metrics)
+                    collectlist[rule["RuleIndex"]] = [",".join(list(set(metrics)))]
 
         for idx, metrics in collectlist.items():
             if idx == 0: wl = "sleep 0.5".split()
@@ -356,9 +358,12 @@ class Validator:
             for metric in metrics:
                 command = [tool, 'stat', '-j', '-M', f"{metric}", "-a"]
                 command.extend(wl)
+                print(" ".join(command))
                 cmd = subprocess.run(command, stderr=subprocess.PIPE, encoding='utf-8')
                 data = [x+'}' for x in cmd.stderr.split('}\n') if x]
                 self.convert(data, idx)
+        self.collectlist = dict()
+        self.collectlist[0] = list()
     # End of Collector and Converter
 
     # Start of Rule Generator
@@ -386,6 +391,20 @@ class Validator:
 
         return
 
+    def remove_unsupported_rules(self, rules, skiplist: set = None):
+        for m in skiplist:
+            self.metrics.discard(m)
+        new_rules = []
+        for rule in rules:
+            add_rule = True
+            for m in rule["Metrics"]:
+                if m["Name"] not in self.metrics:
+                    add_rule = False
+                    break
+            if add_rule:
+                new_rules.append(rule)
+        return new_rules
+
     def create_rules(self):
         """
         Create full rules which includes:
@@ -394,7 +413,10 @@ class Validator:
 
         Reindex all the rules to avoid repeated RuleIndex
         """
-        self.rules = self.read_json(self.rulefname)['RelationshipRules']
+        data = self.read_json(self.rulefname)
+        rules = data['RelationshipRules']
+        skiplist = set(data['SkipList'])
+        self.rules = self.remove_unsupported_rules(rules, skiplist)
         pctgrule = {'RuleIndex':0,
                     'TestType':'SingleMetricTest',
                     'RangeLower':'0',
@@ -453,6 +475,7 @@ class Validator:
 
         The final report is written into a JSON file.
         '''
+        if not self.collectlist:
             self.parse_perf_metrics()
         self.create_rules()
         for i in range(0, len(self.workloads)):

tools/perf/tests/shell/lib/perf_metric_validation_rules.json

 {
+    "SkipList": [
+        "tsx_aborted_cycles",
+        "tsx_transactional_cycles",
+        "C2_Pkg_Residency",
+        "C6_Pkg_Residency",
+        "C1_Core_Residency",
+        "C6_Core_Residency",
+        "tma_false_sharing",
+        "tma_remote_cache",
+        "tma_contested_accesses"
+    ],
     "RelationshipRules": [
         {
             "RuleIndex": 1,