Resguardo inicial

This commit is contained in:
lastdragon
2026-09-06 12:53:21 -06:00
parent 662efe3c2a
commit ad2088d178
94853 changed files with 43200404 additions and 0 deletions
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# SPDX-License-Identifier: GPL-2.0
import configparser
import os
import sys
import glob
import optparse
import platform
import tempfile
import logging
import re
import shutil
import subprocess
def data_equal(a, b):
# Allow multiple values in assignment separated by '|'
a_list = a.split('|')
b_list = b.split('|')
for a_item in a_list:
for b_item in b_list:
if (a_item == b_item):
return True
elif (a_item == '*') or (b_item == '*'):
return True
return False
class Fail(Exception):
def __init__(self, test, msg):
self.msg = msg
self.test = test
def getMsg(self):
return '\'%s\' - %s' % (self.test.path, self.msg)
class Notest(Exception):
def __init__(self, test, arch):
self.arch = arch
self.test = test
def getMsg(self):
return '[%s] \'%s\'' % (self.arch, self.test.path)
class Unsup(Exception):
def __init__(self, test):
self.test = test
def getMsg(self):
return '\'%s\'' % self.test.path
class Event(dict):
terms = [
'cpu',
'flags',
'type',
'size',
'config',
'sample_period',
'sample_type',
'read_format',
'disabled',
'inherit',
'pinned',
'exclusive',
'exclude_user',
'exclude_kernel',
'exclude_hv',
'exclude_idle',
'mmap',
'comm',
'freq',
'inherit_stat',
'enable_on_exec',
'task',
'watermark',
'precise_ip',
'mmap_data',
'sample_id_all',
'exclude_host',
'exclude_guest',
'exclude_callchain_kernel',
'exclude_callchain_user',
'wakeup_events',
'bp_type',
'config1',
'config2',
'branch_sample_type',
'sample_regs_user',
'sample_stack_user',
]
def add(self, data):
for key, val in data:
log.debug(" %s = %s" % (key, val))
self[key] = val
def __init__(self, name, data, base):
log.debug(" Event %s" % name);
self.name = name;
self.group = ''
self.add(base)
self.add(data)
def equal(self, other):
for t in Event.terms:
log.debug(" [%s] %s %s" % (t, self[t], other[t]));
if t not in self or t not in other:
return False
if not data_equal(self[t], other[t]):
return False
return True
def optional(self):
if 'optional' in self and self['optional'] == '1':
return True
return False
def diff(self, other):
for t in Event.terms:
if t not in self or t not in other:
continue
if not data_equal(self[t], other[t]):
log.warning("expected %s=%s, got %s" % (t, self[t], other[t]))
def parse_version(version):
if not version:
return None
return [int(v) for v in version.split(".")[0:2]]
# Test file description needs to have following sections:
# [config]
# - just single instance in file
# - needs to specify:
# 'command' - perf command name
# 'args' - special command arguments
# 'ret' - Skip test if Perf doesn't exit with this value (0 by default)
# 'test_ret'- If set to 'true', fail test instead of skipping for 'ret' argument
# 'arch' - architecture specific test (optional)
# comma separated list, ! at the beginning
# negates it.
# 'auxv' - Truthy statement that is evaled in the scope of the auxv map. When false,
# the test is skipped. For example 'auxv["AT_HWCAP"] == 10'. (optional)
# 'kernel_since' - Inclusive kernel version from which the test will start running. Only the
# first two values are supported, for example "6.1" (optional)
# 'kernel_until' - Exclusive kernel version from which the test will stop running. (optional)
# [eventX:base]
# - one or multiple instances in file
# - expected values assignments
class Test(object):
def __init__(self, path, options):
parser = configparser.ConfigParser()
parser.read(path)
log.warning("running '%s'" % path)
self.path = path
self.test_dir = options.test_dir
self.perf = options.perf
self.command = parser.get('config', 'command')
self.args = parser.get('config', 'args')
try:
self.ret = parser.get('config', 'ret')
except:
self.ret = 0
self.test_ret = parser.getboolean('config', 'test_ret', fallback=False)
try:
self.arch = parser.get('config', 'arch')
log.warning("test limitation '%s'" % self.arch)
except:
self.arch = ''
self.auxv = parser.get('config', 'auxv', fallback=None)
self.kernel_since = parse_version(parser.get('config', 'kernel_since', fallback=None))
self.kernel_until = parse_version(parser.get('config', 'kernel_until', fallback=None))
self.expect = {}
self.result = {}
log.debug(" loading expected events");
self.load_events(path, self.expect)
def is_event(self, name):
if name.find("event") == -1:
return False
else:
return True
def skip_test_kernel_since(self):
if not self.kernel_since:
return False
return not self.kernel_since <= parse_version(platform.release())
def skip_test_kernel_until(self):
if not self.kernel_until:
return False
return not parse_version(platform.release()) < self.kernel_until
def skip_test_auxv(self):
def new_auxv(a, pattern):
items = list(filter(None, pattern.split(a)))
# AT_HWCAP is hex but doesn't have a prefix, so special case it
if items[0] == "AT_HWCAP":
value = int(items[-1], 16)
else:
try:
value = int(items[-1], 0)
except:
value = items[-1]
return (items[0], value)
if not self.auxv:
return False
auxv = subprocess.check_output("LD_SHOW_AUXV=1 sleep 0", shell=True) \
.decode(sys.stdout.encoding)
pattern = re.compile(r"[: ]+")
auxv = dict([new_auxv(a, pattern) for a in auxv.splitlines()])
return not eval(self.auxv)
def skip_test_arch(self, myarch):
# If architecture not set always run test
if self.arch == '':
# log.warning("test for arch %s is ok" % myarch)
return False
# Allow multiple values in assignment separated by ','
arch_list = self.arch.split(',')
# Handle negated list such as !s390x,ppc
if arch_list[0][0] == '!':
arch_list[0] = arch_list[0][1:]
log.warning("excluded architecture list %s" % arch_list)
for arch_item in arch_list:
# log.warning("test for %s arch is %s" % (arch_item, myarch))
if arch_item == myarch:
return True
return False
for arch_item in arch_list:
# log.warning("test for architecture '%s' current '%s'" % (arch_item, myarch))
if arch_item == myarch:
return False
return True
def restore_sample_rate(self, value=10000):
try:
# Check value of sample_rate
with open("/proc/sys/kernel/perf_event_max_sample_rate", "r") as fIn:
curr_value = fIn.readline()
# If too low restore to reasonable value
if not curr_value or int(curr_value) < int(value):
with open("/proc/sys/kernel/perf_event_max_sample_rate", "w") as fOut:
fOut.write(str(value))
except IOError as e:
log.warning("couldn't restore sample_rate value: I/O error %s" % e)
except ValueError as e:
log.warning("couldn't restore sample_rate value: Value error %s" % e)
except TypeError as e:
log.warning("couldn't restore sample_rate value: Type error %s" % e)
def load_events(self, path, events):
parser_event = configparser.ConfigParser()
parser_event.read(path)
# The event record section header contains 'event' word,
# optionaly followed by ':' allowing to load 'parent
# event' first as a base
for section in filter(self.is_event, parser_event.sections()):
parser_items = parser_event.items(section);
base_items = {}
# Read parent event if there's any
if (':' in section):
base = section[section.index(':') + 1:]
parser_base = configparser.ConfigParser()
parser_base.read(self.test_dir + '/' + base)
base_items = parser_base.items('event')
e = Event(section, parser_items, base_items)
events[section] = e
def run_cmd(self, tempdir):
junk1, junk2, junk3, junk4, myarch = (os.uname())
if self.skip_test_arch(myarch):
raise Notest(self, myarch)
if self.skip_test_auxv():
raise Notest(self, "auxv skip")
if self.skip_test_kernel_since():
raise Notest(self, "old kernel skip")
if self.skip_test_kernel_until():
raise Notest(self, "new kernel skip")
self.restore_sample_rate()
cmd = "PERF_TEST_ATTR=%s %s %s -o %s/perf.data %s" % (tempdir,
self.perf, self.command, tempdir, self.args)
ret = os.WEXITSTATUS(os.system(cmd))
log.info(" '%s' ret '%s', expected '%s'" % (cmd, str(ret), str(self.ret)))
if not data_equal(str(ret), str(self.ret)):
if self.test_ret:
raise Fail(self, "Perf exit code failure")
else:
raise Unsup(self)
def compare(self, expect, result):
match = {}
log.debug(" compare");
# For each expected event find all matching
# events in result. Fail if there's not any.
for exp_name, exp_event in expect.items():
exp_list = []
res_event = {}
log.debug(" matching [%s]" % exp_name)
for res_name, res_event in result.items():
log.debug(" to [%s]" % res_name)
if (exp_event.equal(res_event)):
exp_list.append(res_name)
log.debug(" ->OK")
else:
log.debug(" ->FAIL");
log.debug(" match: [%s] matches %s" % (exp_name, str(exp_list)))
# we did not any matching event - fail
if not exp_list:
if exp_event.optional():
log.debug(" %s does not match, but is optional" % exp_name)
else:
if not res_event:
log.debug(" res_event is empty");
else:
exp_event.diff(res_event)
raise Fail(self, 'match failure');
match[exp_name] = exp_list
# For each defined group in the expected events
# check we match the same group in the result.
for exp_name, exp_event in expect.items():
group = exp_event.group
if (group == ''):
continue
for res_name in match[exp_name]:
res_group = result[res_name].group
if res_group not in match[group]:
raise Fail(self, 'group failure')
log.debug(" group: [%s] matches group leader %s" %
(exp_name, str(match[group])))
log.debug(" matched")
def resolve_groups(self, events):
for name, event in events.items():
group_fd = event['group_fd'];
if group_fd == '-1':
continue;
for iname, ievent in events.items():
if (ievent['fd'] == group_fd):
event.group = iname
log.debug('[%s] has group leader [%s]' % (name, iname))
break;
def run(self):
tempdir = tempfile.mkdtemp();
try:
# run the test script
self.run_cmd(tempdir);
# load events expectation for the test
log.debug(" loading result events");
for f in glob.glob(tempdir + '/event*'):
self.load_events(f, self.result);
# resolve group_fd to event names
self.resolve_groups(self.expect);
self.resolve_groups(self.result);
# do the expectation - results matching - both ways
self.compare(self.expect, self.result)
self.compare(self.result, self.expect)
finally:
# cleanup
shutil.rmtree(tempdir)
def run_tests(options):
for f in glob.glob(options.test_dir + '/' + options.test):
try:
Test(f, options).run()
except Unsup as obj:
log.warning("unsupp %s" % obj.getMsg())
except Notest as obj:
log.warning("skipped %s" % obj.getMsg())
def setup_log(verbose):
global log
level = logging.CRITICAL
if verbose == 1:
level = logging.WARNING
if verbose == 2:
level = logging.INFO
if verbose >= 3:
level = logging.DEBUG
log = logging.getLogger('test')
log.setLevel(level)
ch = logging.StreamHandler()
ch.setLevel(level)
formatter = logging.Formatter('%(message)s')
ch.setFormatter(formatter)
log.addHandler(ch)
USAGE = '''%s [OPTIONS]
-d dir # tests dir
-p path # perf binary
-t test # single test
-v # verbose level
''' % sys.argv[0]
def main():
parser = optparse.OptionParser(usage=USAGE)
parser.add_option("-t", "--test",
action="store", type="string", dest="test")
parser.add_option("-d", "--test-dir",
action="store", type="string", dest="test_dir")
parser.add_option("-p", "--perf",
action="store", type="string", dest="perf")
parser.add_option("-v", "--verbose",
default=0, action="count", dest="verbose")
options, args = parser.parse_args()
if args:
parser.error('FAILED wrong arguments %s' % ' '.join(args))
return -1
setup_log(options.verbose)
if not options.test_dir:
print('FAILED no -d option specified')
sys.exit(-1)
if not options.test:
options.test = 'test*'
try:
run_tests(options)
except Fail as obj:
print("FAILED %s" % obj.getMsg())
sys.exit(-1)
sys.exit(0)
if __name__ == '__main__':
main()
@@ -0,0 +1,21 @@
#!/bin/bash
# SPDX-License-Identifier: GPL-2.0
perf_has_symbol()
{
if perf test -vv -F "Symbols" 2>&1 | grep "[[:space:]]$1$"; then
echo "perf does have symbol '$1'"
return 0
fi
echo "perf does not have symbol '$1'"
return 1
}
skip_test_missing_symbol()
{
if ! perf_has_symbol "$1" ; then
echo "perf is missing symbols - skipping test"
exit 2
fi
return 0
}
@@ -0,0 +1,114 @@
#!/usr/bin/python
# SPDX-License-Identifier: (LGPL-2.1 OR BSD-2-Clause)
# Basic sanity check of perf JSON output as specified in the man page.
import argparse
import sys
import json
ap = argparse.ArgumentParser()
ap.add_argument('--no-args', action='store_true')
ap.add_argument('--interval', action='store_true')
ap.add_argument('--system-wide-no-aggr', action='store_true')
ap.add_argument('--system-wide', action='store_true')
ap.add_argument('--event', action='store_true')
ap.add_argument('--per-core', action='store_true')
ap.add_argument('--per-thread', action='store_true')
ap.add_argument('--per-cache', action='store_true')
ap.add_argument('--per-cluster', action='store_true')
ap.add_argument('--per-die', action='store_true')
ap.add_argument('--per-node', action='store_true')
ap.add_argument('--per-socket', action='store_true')
ap.add_argument('--metric-only', action='store_true')
ap.add_argument('--file', type=argparse.FileType('r'), default=sys.stdin)
args = ap.parse_args()
Lines = args.file.readlines()
def isfloat(num):
try:
float(num)
return True
except ValueError:
return False
def isint(num):
try:
int(num)
return True
except ValueError:
return False
def is_counter_value(num):
return isfloat(num) or num == '<not counted>' or num == '<not supported>'
def is_metric_value(num):
return isfloat(num) or num == 'none'
def check_json_output(expected_items):
checks = {
'counters': lambda x: isfloat(x),
'core': lambda x: True,
'counter-value': lambda x: is_counter_value(x),
'cgroup': lambda x: True,
'cpu': lambda x: isint(x),
'cache': lambda x: True,
'cluster': lambda x: True,
'die': lambda x: True,
'event': lambda x: True,
'event-runtime': lambda x: isfloat(x),
'interval': lambda x: isfloat(x),
'metric-unit': lambda x: True,
'metric-value': lambda x: is_metric_value(x),
'metric-threshold': lambda x: x in ['unknown', 'good', 'less good', 'nearly bad', 'bad'],
'metricgroup': lambda x: True,
'node': lambda x: True,
'pcnt-running': lambda x: isfloat(x),
'socket': lambda x: True,
'thread': lambda x: True,
'unit': lambda x: True,
}
input = '[\n' + ','.join(Lines) + '\n]'
for item in json.loads(input):
if expected_items != -1:
count = len(item)
if count not in expected_items and count >= 1 and count <= 7 and 'metric-value' in item:
# Events that generate >1 metric may have isolated metric
# values and possibly other prefixes like interval, core,
# counters, or event-runtime/pcnt-running from multiplexing.
pass
elif count not in expected_items and count >= 1 and count <= 5 and 'metricgroup' in item:
pass
elif count - 1 in expected_items and 'metric-threshold' in item:
pass
elif count in expected_items and 'insn per cycle' in item:
pass
elif count not in expected_items:
raise RuntimeError(f'wrong number of fields. counted {count} expected {expected_items}'
f' in \'{item}\'')
for key, value in item.items():
if key not in checks:
if args.metric_only:
continue
raise RuntimeError(f'Unexpected key: key={key} value={value}')
if not checks[key](value):
raise RuntimeError(f'Check failed for: key={key} value={value}')
try:
if args.no_args or args.system_wide or args.event:
expected_items = [5, 7]
elif args.interval or args.per_thread or args.system_wide_no_aggr:
expected_items = [6, 8]
elif args.per_core or args.per_socket or args.per_node or args.per_die or args.per_cluster or args.per_cache:
expected_items = [7, 9]
elif args.metric_only:
expected_items = [1, 2]
else:
# If no option is specified, don't check the number of items.
expected_items = -1
check_json_output(expected_items)
except:
print('Test failed for input:\n' + '\n'.join(Lines))
raise
@@ -0,0 +1,603 @@
# SPDX-License-Identifier: GPL-2.0
import re
import csv
import json
import argparse
from pathlib import Path
import subprocess
class TestError:
def __init__(self, metric: list[str], wl: str, value: list[float], low: float, up=float('nan'), description=str()):
self.metric: list = metric # multiple metrics in relationship type tests
self.workloads = [wl] # multiple workloads possible
self.collectedValue: list = value
self.valueLowBound = low
self.valueUpBound = up
self.description = description
def __repr__(self) -> str:
if len(self.metric) > 1:
return "\nMetric Relationship Error: \tThe collected value of metric {0}\n\
\tis {1} in workload(s): {2} \n\
\tbut expected value range is [{3}, {4}]\n\
\tRelationship rule description: \'{5}\'".format(self.metric, self.collectedValue, self.workloads,
self.valueLowBound, self.valueUpBound, self.description)
elif len(self.collectedValue) == 0:
return "\nNo Metric Value Error: \tMetric {0} returns with no value \n\
\tworkload(s): {1}".format(self.metric, self.workloads)
else:
return "\nWrong Metric Value Error: \tThe collected value of metric {0}\n\
\tis {1} in workload(s): {2}\n\
\tbut expected value range is [{3}, {4}]"\
.format(self.metric, self.collectedValue, self.workloads,
self.valueLowBound, self.valueUpBound)
class Validator:
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
self.allresults = dict() # metric results of all workload
self.alltotalcnt = dict()
self.allpassedcnt = dict()
self.results = dict() # metric results of current workload
# vars for test pass/failure statistics
# metrics with no results or negative results, neg result counts failed tests
self.ignoremetrics = set()
self.totalcnt = 0
self.passedcnt = 0
# vars for errors
self.errlist = list()
# vars for Rule Generator
self.pctgmetrics = set() # Percentage rule
# vars for debug
self.datafname = datafname
self.debug = debug
self.fullrulefname = fullrulefname
def __set_metrics(self, metrics=''):
if metrics != '':
return set(metrics.split(","))
else:
return set()
def read_json(self, filename: str) -> dict:
try:
with open(Path(filename).resolve(), "r") as f:
data = json.loads(f.read())
except OSError as e:
print(f"Error when reading file {e}")
sys.exit()
return data
def json_dump(self, data, output_file):
parent = Path(output_file).parent
if not parent.exists():
parent.mkdir(parents=True)
with open(output_file, "w+") as output_file:
json.dump(data,
output_file,
ensure_ascii=True,
indent=4)
def get_results(self, idx: int = 0):
return self.results.get(idx)
def get_bounds(self, lb, ub, error, alias={}, ridx: int = 0) -> list:
"""
Get bounds and tolerance from lb, ub, and error.
If missing lb, use 0.0; missing ub, use float('inf); missing error, use self.tolerance.
@param lb: str/float, lower bound
@param ub: str/float, upper bound
@param error: float/str, error tolerance
@returns: lower bound, return inf if the lower bound is a metric value and is not collected
upper bound, return -1 if the upper bound is a metric value and is not collected
tolerance, denormalized base on upper bound value
"""
# init ubv and lbv to invalid values
def get_bound_value(bound, initval, ridx):
val = initval
if isinstance(bound, int) or isinstance(bound, float):
val = bound
elif isinstance(bound, str):
if bound == '':
val = float("inf")
elif bound in alias:
vall = self.get_value(alias[ub], ridx)
if vall:
val = vall[0]
elif bound.replace('.', '1').isdigit():
val = float(bound)
else:
print("Wrong bound: {0}".format(bound))
else:
print("Wrong bound: {0}".format(bound))
return val
ubv = get_bound_value(ub, -1, ridx)
lbv = get_bound_value(lb, float('inf'), ridx)
t = get_bound_value(error, self.tolerance, ridx)
# denormalize error threshold
denormerr = t * ubv / 100 if ubv != 100 and ubv > 0 else t
return lbv, ubv, denormerr
def get_value(self, name: str, ridx: int = 0) -> list:
"""
Get value of the metric from self.results.
If result of this metric is not provided, the metric name will be added into self.ignoremetics.
All future test(s) on this metric will fail.
@param name: name of the metric
@returns: list with value found in self.results; list is empty when value is not found.
"""
results = []
data = self.results[ridx] if ridx in self.results else self.results[0]
if name not in self.ignoremetrics:
if name in data:
results.append(data[name])
elif name.replace('.', '1').isdigit():
results.append(float(name))
else:
self.ignoremetrics.add(name)
return results
def check_bound(self, val, lb, ub, err):
return True if val <= ub + err and val >= lb - err else False
# Positive Value Sanity check
def pos_val_test(self):
"""
Check if metrics value are non-negative.
One metric is counted as one test.
Failure: when metric value is negative or not provided.
Metrics with negative value will be added into self.ignoremetrics.
"""
negmetric = dict()
pcnt = 0
tcnt = 0
rerun = list()
results = self.get_results()
if not results:
return
for name, val in results.items():
if val < 0:
negmetric[name] = val
rerun.append(name)
else:
pcnt += 1
tcnt += 1
# The first round collect_perf() run these metrics with simple workload
# "true". We give metrics a second chance with a longer workload if less
# than 20 metrics failed positive test.
if len(rerun) > 0 and len(rerun) < 20:
second_results = dict()
self.second_test(rerun, second_results)
for name, val in second_results.items():
if name not in negmetric:
continue
if val >= 0:
del negmetric[name]
pcnt += 1
if len(negmetric.keys()):
self.ignoremetrics.update(negmetric.keys())
self.errlist.extend(
[TestError([m], self.workloads[self.wlidx], negmetric[m], 0) for m in negmetric.keys()])
return
def evaluate_formula(self, formula: str, alias: dict, ridx: int = 0):
"""
Evaluate the value of formula.
@param formula: the formula to be evaluated
@param alias: the dict has alias to metric name mapping
@returns: value of the formula is success; -1 if the one or more metric value not provided
"""
stack = []
b = 0
errs = []
sign = "+"
f = str()
# TODO: support parenthesis?
for i in range(len(formula)):
if i+1 == len(formula) or formula[i] in ('+', '-', '*', '/'):
s = alias[formula[b:i]] if i + \
1 < len(formula) else alias[formula[b:]]
v = self.get_value(s, ridx)
if not v:
errs.append(s)
else:
f = f + "{0}(={1:.4f})".format(s, v[0])
if sign == "*":
stack[-1] = stack[-1] * v
elif sign == "/":
stack[-1] = stack[-1] / v
elif sign == '-':
stack.append(-v[0])
else:
stack.append(v[0])
if i + 1 < len(formula):
sign = formula[i]
f += sign
b = i + 1
if len(errs) > 0:
return -1, "Metric value missing: "+','.join(errs)
val = sum(stack)
return val, f
# Relationships Tests
def relationship_test(self, rule: dict):
"""
Validate if the metrics follow the required relationship in the rule.
eg. lower_bound <= eval(formula)<= upper_bound
One rule is counted as ont test.
Failure: when one or more metric result(s) not provided, or when formula evaluated outside of upper/lower bounds.
@param rule: dict with metric name(+alias), formula, and required upper and lower bounds.
"""
alias = dict()
for m in rule['Metrics']:
alias[m['Alias']] = m['Name']
lbv, ubv, t = self.get_bounds(
rule['RangeLower'], rule['RangeUpper'], rule['ErrorThreshold'], alias, ridx=rule['RuleIndex'])
val, f = self.evaluate_formula(
rule['Formula'], alias, ridx=rule['RuleIndex'])
lb = rule['RangeLower']
ub = rule['RangeUpper']
if isinstance(lb, str):
if lb in alias:
lb = alias[lb]
if isinstance(ub, str):
if ub in alias:
ub = alias[ub]
if val == -1:
self.errlist.append(TestError([m['Name'] for m in rule['Metrics']], self.workloads[self.wlidx], [],
lb, ub, rule['Description']))
elif not self.check_bound(val, lbv, ubv, t):
self.errlist.append(TestError([m['Name'] for m in rule['Metrics']], self.workloads[self.wlidx], [val],
lb, ub, rule['Description']))
else:
self.passedcnt += 1
self.totalcnt += 1
return
# Single Metric Test
def single_test(self, rule: dict):
"""
Validate if the metrics are in the required value range.
eg. lower_bound <= metrics_value <= upper_bound
One metric is counted as one test in this type of test.
One rule may include one or more metrics.
Failure: when the metric value not provided or the value is outside the bounds.
This test updates self.total_cnt.
@param rule: dict with metrics to validate and the value range requirement
"""
lbv, ubv, t = self.get_bounds(
rule['RangeLower'], rule['RangeUpper'], rule['ErrorThreshold'])
metrics = rule['Metrics']
passcnt = 0
totalcnt = 0
failures = dict()
rerun = list()
for m in metrics:
totalcnt += 1
result = self.get_value(m['Name'])
if len(result) > 0 and self.check_bound(result[0], lbv, ubv, t) or m['Name'] in self.skiplist:
passcnt += 1
else:
failures[m['Name']] = result
rerun.append(m['Name'])
if len(rerun) > 0 and len(rerun) < 20:
second_results = dict()
self.second_test(rerun, second_results)
for name, val in second_results.items():
if name not in failures:
continue
if self.check_bound(val, lbv, ubv, t):
passcnt += 1
del failures[name]
else:
failures[name] = [val]
self.results[0][name] = val
self.totalcnt += totalcnt
self.passedcnt += passcnt
if len(failures.keys()) != 0:
self.errlist.extend([TestError([name], self.workloads[self.wlidx], val,
rule['RangeLower'], rule['RangeUpper']) for name, val in failures.items()])
return
def create_report(self):
"""
Create final report and write into a JSON file.
"""
print(self.errlist)
if self.debug:
allres = [{"Workload": self.workloads[i], "Results": self.allresults[i]}
for i in range(0, len(self.workloads))]
self.json_dump(allres, self.datafname)
def check_rule(self, testtype, metric_list):
"""
Check if the rule uses metric(s) that not exist in current platform.
@param metric_list: list of metrics from the rule.
@return: False when find one metric out in Metric file. (This rule should not skipped.)
True when all metrics used in the rule are found in Metric file.
"""
if testtype == "RelationshipTest":
for m in metric_list:
if m['Name'] not in self.metrics:
return False
return True
# Start of Collector and Converter
def convert(self, data: list, metricvalues: dict):
"""
Convert collected metric data from the -j output to dict of {metric_name:value}.
"""
for json_string in data:
try:
result = json.loads(json_string)
if "metric-unit" in result and result["metric-unit"] != "(null)" and result["metric-unit"] != "":
name = result["metric-unit"].split(" ")[1] if len(result["metric-unit"].split(" ")) > 1 \
else result["metric-unit"]
metricvalues[name.lower()] = float(result["metric-value"])
except ValueError as error:
continue
return
def _run_perf(self, metric, workload: str):
tool = 'perf'
command = [tool, 'stat', '--cputype', self.cputype, '-j', '-M', f"{metric}", "-a"]
wl = workload.split()
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]
if data[0][0] != '{':
data[0] = data[0][data[0].find('{'):]
return data
def collect_perf(self, workload: str):
"""
Collect metric data with "perf stat -M" on given workload with -a and -j.
"""
self.results = dict()
print(f"Starting perf collection")
print(f"Long workload: {workload}")
collectlist = dict()
if self.collectlist != "":
collectlist[0] = {x for x in self.collectlist.split(",")}
else:
collectlist[0] = set(list(self.metrics))
# Create metric set for relationship rules
for rule in self.rules:
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"]] = [
",".join(list(set(metrics)))]
for idx, metrics in collectlist.items():
if idx == 0:
wl = "true"
else:
wl = workload
for metric in metrics:
data = self._run_perf(metric, wl)
if idx not in self.results:
self.results[idx] = dict()
self.convert(data, self.results[idx])
return
def second_test(self, collectlist, second_results):
workload = self.workloads[self.wlidx]
for metric in collectlist:
data = self._run_perf(metric, workload)
self.convert(data, second_results)
# End of Collector and Converter
# Start of Rule Generator
def parse_perf_metrics(self):
"""
Read and parse perf metric file:
1) find metrics with '1%' or '100%' as ScaleUnit for Percent check
2) create metric name list
"""
command = ['perf', 'list', '-j', '--details', 'metrics']
cmd = subprocess.run(command, stdout=subprocess.PIPE,
stderr=subprocess.PIPE, encoding='utf-8')
try:
data = json.loads(cmd.stdout)
for m in data:
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%'):
self.pctgmetrics.add(name.lower())
except ValueError as error:
print(f"Error when parsing metric data")
sys.exit()
return
def remove_unsupported_rules(self, rules):
new_rules = []
for rule in rules:
add_rule = True
for m in rule["Metrics"]:
if m["Name"] in self.skiplist or 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:
1) All the rules from the "relationshi_rules" file
2) SingleMetric rule for all the 'percent' metrics
Reindex all the rules to avoid repeated RuleIndex
"""
data = self.read_json(self.rulefname)
rules = data['RelationshipRules']
self.skiplist = set([name.lower() for name in data['SkipList']])
self.rules = self.remove_unsupported_rules(rules)
pctgrule = {'RuleIndex': 0,
'TestType': 'SingleMetricTest',
'RangeLower': '0',
'RangeUpper': '100',
'ErrorThreshold': self.tolerance,
'Description': 'Metrics in percent unit have value with in [0, 100]',
'Metrics': [{'Name': m.lower()} for m in self.pctgmetrics]}
self.rules.append(pctgrule)
# Re-index all rules to avoid repeated RuleIndex
idx = 1
for r in self.rules:
r['RuleIndex'] = idx
idx += 1
if self.debug:
# TODO: need to test and generate file name correctly
data = {'RelationshipRules': self.rules, 'SupportedMetrics': [
{"MetricName": name} for name in self.metrics]}
self.json_dump(data, self.fullrulefname)
return
# End of Rule Generator
def _storewldata(self, key):
'''
Store all the data of one workload into the corresponding data structure for all workloads.
@param key: key to the dictionaries (index of self.workloads).
'''
self.allresults[key] = self.results
self.alltotalcnt[key] = self.totalcnt
self.allpassedcnt[key] = self.passedcnt
# Initialize data structures before data validation of each workload
def _init_data(self):
testtypes = ['PositiveValueTest',
'RelationshipTest', 'SingleMetricTest']
self.results = dict()
self.ignoremetrics = set()
self.errlist = list()
self.totalcnt = 0
self.passedcnt = 0
def test(self):
'''
The real entry point of the test framework.
This function loads the validation rule JSON file and Standard Metric file to create rules for
testing and namemap dictionaries.
It also reads in result JSON file for testing.
In the test process, it passes through each rule and launch correct test function bases on the
'TestType' field of the rule.
The final report is written into a JSON file.
'''
if not self.collectlist:
self.parse_perf_metrics()
if not self.metrics:
print("No metric found for testing")
return 0
self.create_rules()
for i in range(0, len(self.workloads)):
self.wlidx = i
self._init_data()
self.collect_perf(self.workloads[i])
# Run positive value test
self.pos_val_test()
for r in self.rules:
# skip rules that uses metrics not exist in this platform
testtype = r['TestType']
if not self.check_rule(testtype, r['Metrics']):
continue
if testtype == 'RelationshipTest':
self.relationship_test(r)
elif testtype == 'SingleMetricTest':
self.single_test(r)
else:
print("Unsupported Test Type: ", testtype)
print("Workload: ", self.workloads[i])
print("Total Test Count: ", self.totalcnt)
print("Passed Test Count: ", self.passedcnt)
self._storewldata(i)
self.create_report()
return len(self.errlist) > 0
# End of Class Validator
def main() -> None:
parser = argparse.ArgumentParser(
description="Launch metric value validation")
parser.add_argument(
"-rule", help="Base validation rule file", required=True)
parser.add_argument(
"-output_dir", help="Path for validator output file, report file", required=True)
parser.add_argument("-debug", help="Debug run, save intermediate data to files",
action="store_true", default=False)
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')
fullrule = Path.joinpath(outpath, 'full_rule.json')
datafile = Path.joinpath(outpath, 'perf_data.json')
validator = Validator(args.rule, reportf, debug=args.debug,
datafname=datafile, fullrulefname=fullrule, workload=args.wl,
metrics=args.m, cputype=args.cputype)
ret = validator.test()
return ret
if __name__ == "__main__":
import sys
sys.exit(main())
@@ -0,0 +1,398 @@
{
"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,
"Formula": "a+b",
"TestType": "RelationshipTest",
"RangeLower": "c",
"RangeUpper": "c",
"ErrorThreshold": 5.0,
"Description": "Intel(R) Optane(TM) Persistent Memory(PMEM) bandwidth total includes Intel(R) Optane(TM) Persistent Memory(PMEM) read bandwidth and Intel(R) Optane(TM) Persistent Memory(PMEM) write bandwidth",
"Metrics": [
{
"Name": "pmem_memory_bandwidth_read",
"Alias": "a"
},
{
"Name": "pmem_memory_bandwidth_write",
"Alias": "b"
},
{
"Name": "pmem_memory_bandwidth_total",
"Alias": "c"
}
]
},
{
"RuleIndex": 2,
"Formula": "a+b",
"TestType": "RelationshipTest",
"RangeLower": "c",
"RangeUpper": "c",
"ErrorThreshold": 5.0,
"Description": "DDR memory bandwidth total includes DDR memory read bandwidth and DDR memory write bandwidth",
"Metrics": [
{
"Name": "memory_bandwidth_read",
"Alias": "a"
},
{
"Name": "memory_bandwidth_write",
"Alias": "b"
},
{
"Name": "memory_bandwidth_total",
"Alias": "c"
}
]
},
{
"RuleIndex": 3,
"Formula": "a+b",
"TestType": "RelationshipTest",
"RangeLower": "100",
"RangeUpper": "100",
"ErrorThreshold": 5.0,
"Description": "Total memory read accesses includes memory reads from last level cache (LLC) addressed to local DRAM and memory reads from the last level cache (LLC) addressed to remote DRAM.",
"Metrics": [
{
"Name": "numa_reads_addressed_to_local_dram",
"Alias": "a"
},
{
"Name": "numa_reads_addressed_to_remote_dram",
"Alias": "b"
}
]
},
{
"RuleIndex": 4,
"Formula": "a",
"TestType": "SingleMetricTest",
"RangeLower": "0.125",
"RangeUpper": "",
"ErrorThreshold": "",
"Description": "",
"Metrics": [
{
"Name": "cpi",
"Alias": "a"
}
]
},
{
"RuleIndex": 5,
"Formula": "",
"TestType": "SingleMetricTest",
"RangeLower": "0",
"RangeUpper": "1",
"ErrorThreshold": 5.0,
"Description": "Ratio values should be within value range [0,1)",
"Metrics": [
{
"Name": "loads_per_instr",
"Alias": ""
},
{
"Name": "stores_per_instr",
"Alias": ""
},
{
"Name": "l1d_mpi",
"Alias": ""
},
{
"Name": "l1d_demand_data_read_hits_per_instr",
"Alias": ""
},
{
"Name": "l1_i_code_read_misses_with_prefetches_per_instr",
"Alias": ""
},
{
"Name": "l2_demand_data_read_hits_per_instr",
"Alias": ""
},
{
"Name": "l2_mpi",
"Alias": ""
},
{
"Name": "l2_demand_data_read_mpi",
"Alias": ""
},
{
"Name": "l2_demand_code_mpi",
"Alias": ""
}
]
},
{
"RuleIndex": 6,
"Formula": "a+b+c+d",
"TestType": "RelationshipTest",
"RangeLower": "100",
"RangeUpper": "100",
"ErrorThreshold": 5.0,
"Description": "Sum of TMA level 1 metrics should be 100%",
"Metrics": [
{
"Name": "tma_frontend_bound",
"Alias": "a"
},
{
"Name": "tma_bad_speculation",
"Alias": "b"
},
{
"Name": "tma_backend_bound",
"Alias": "c"
},
{
"Name": "tma_retiring",
"Alias": "d"
}
]
},
{
"RuleIndex": 7,
"Formula": "a+b",
"TestType": "RelationshipTest",
"RangeLower": "c",
"RangeUpper": "c",
"ErrorThreshold": 5.0,
"Description": "Sum of the level 2 children should equal level 1 parent",
"Metrics": [
{
"Name": "tma_fetch_latency",
"Alias": "a"
},
{
"Name": "tma_fetch_bandwidth",
"Alias": "b"
},
{
"Name": "tma_frontend_bound",
"Alias": "c"
}
]
},
{
"RuleIndex": 8,
"Formula": "a+b",
"TestType": "RelationshipTest",
"RangeLower": "c",
"RangeUpper": "c",
"ErrorThreshold": 5.0,
"Description": "Sum of the level 2 children should equal level 1 parent",
"Metrics": [
{
"Name": "tma_branch_mispredicts",
"Alias": "a"
},
{
"Name": "tma_machine_clears",
"Alias": "b"
},
{
"Name": "tma_bad_speculation",
"Alias": "c"
}
]
},
{
"RuleIndex": 9,
"Formula": "a+b",
"TestType": "RelationshipTest",
"RangeLower": "c",
"RangeUpper": "c",
"ErrorThreshold": 5.0,
"Description": "Sum of the level 2 children should equal level 1 parent",
"Metrics": [
{
"Name": "tma_memory_bound",
"Alias": "a"
},
{
"Name": "tma_core_bound",
"Alias": "b"
},
{
"Name": "tma_backend_bound",
"Alias": "c"
}
]
},
{
"RuleIndex": 10,
"Formula": "a+b",
"TestType": "RelationshipTest",
"RangeLower": "c",
"RangeUpper": "c",
"ErrorThreshold": 5.0,
"Description": "Sum of the level 2 children should equal level 1 parent",
"Metrics": [
{
"Name": "tma_light_operations",
"Alias": "a"
},
{
"Name": "tma_heavy_operations",
"Alias": "b"
},
{
"Name": "tma_retiring",
"Alias": "c"
}
]
},
{
"RuleIndex": 11,
"Formula": "a+b+c",
"TestType": "RelationshipTest",
"RangeLower": "100",
"RangeUpper": "100",
"ErrorThreshold": 5.0,
"Description": "The all_requests includes the memory_page_empty, memory_page_misses, and memory_page_hits equals.",
"Metrics": [
{
"Name": "memory_page_empty_vs_all_requests",
"Alias": "a"
},
{
"Name": "memory_page_misses_vs_all_requests",
"Alias": "b"
},
{
"Name": "memory_page_hits_vs_all_requests",
"Alias": "c"
}
]
},
{
"RuleIndex": 12,
"Formula": "a-b",
"TestType": "RelationshipTest",
"RangeLower": "0",
"RangeUpper": "",
"ErrorThreshold": 5.0,
"Description": "CPU utilization in kernel mode should always be <= cpu utilization",
"Metrics": [
{
"Name": "cpu_utilization",
"Alias": "a"
},
{
"Name": "cpu_utilization_in_kernel_mode",
"Alias": "b"
}
]
},
{
"RuleIndex": 13,
"Formula": "a-b",
"TestType": "RelationshipTest",
"RangeLower": "0",
"RangeUpper": "",
"ErrorThreshold": 5.0,
"Description": "Total L2 misses per instruction should be >= L2 demand data read misses per instruction",
"Metrics": [
{
"Name": "l2_mpi",
"Alias": "a"
},
{
"Name": "l2_demand_data_read_mpi",
"Alias": "b"
}
]
},
{
"RuleIndex": 14,
"Formula": "a-b",
"TestType": "RelationshipTest",
"RangeLower": "0",
"RangeUpper": "",
"ErrorThreshold": 5.0,
"Description": "Total L2 misses per instruction should be >= L2 demand code misses per instruction",
"Metrics": [
{
"Name": "l2_mpi",
"Alias": "a"
},
{
"Name": "l2_demand_code_mpi",
"Alias": "b"
}
]
},
{
"RuleIndex": 15,
"Formula": "b+c+d",
"TestType": "RelationshipTest",
"RangeLower": "a",
"RangeUpper": "a",
"ErrorThreshold": 5.0,
"Description": "L3 data read, rfo, code misses per instruction equals total L3 misses per instruction.",
"Metrics": [
{
"Name": "llc_mpi",
"Alias": "a"
},
{
"Name": "llc_data_read_mpi_demand_plus_prefetch",
"Alias": "b"
},
{
"Name": "llc_rfo_read_mpi_demand_plus_prefetch",
"Alias": "c"
},
{
"Name": "llc_code_read_mpi_demand_plus_prefetch",
"Alias": "d"
}
]
},
{
"RuleIndex": 16,
"Formula": "a",
"TestType": "SingleMetricTest",
"RangeLower": "0",
"RangeUpper": "8",
"ErrorThreshold": 0.0,
"Description": "Setting generous range for allowable frequencies",
"Metrics": [
{
"Name": "uncore_freq",
"Alias": "a"
}
]
},
{
"RuleIndex": 17,
"Formula": "a",
"TestType": "SingleMetricTest",
"RangeLower": "0",
"RangeUpper": "8",
"ErrorThreshold": 0.0,
"Description": "Setting generous range for allowable frequencies",
"Metrics": [
{
"Name": "cpu_operating_frequency",
"Alias": "a"
}
]
}
]
}
@@ -0,0 +1,13 @@
#!/bin/bash
# SPDX-License-Identifier: GPL-2.0
# Arnaldo Carvalho de Melo <acme@kernel.org>, 2017
skip_if_no_perf_probe() {
perf probe 2>&1 | grep -q 'is not a perf-command' && return 2
return 0
}
skip_if_no_perf_trace() {
perf trace -h 2>&1 | grep -q -e 'is not a perf-command' -e 'trace command not available' && return 2
return 0
}
@@ -0,0 +1,52 @@
#!/bin/bash
# Arnaldo Carvalho de Melo <acme@kernel.org>, 2017
perf probe -l 2>&1 | grep -q probe:vfs_getname
had_vfs_getname=$?
cleanup_probe_vfs_getname() {
if [ $had_vfs_getname -eq 1 ] ; then
perf probe -q -d probe:vfs_getname*
fi
}
add_probe_vfs_getname() {
add_probe_verbose=$1
if [ $had_vfs_getname -eq 1 ] ; then
result_initname_re="[[:space:]]+([[:digit:]]+)[[:space:]]+initname.*"
line=$(perf probe -L getname_flags 2>&1 | grep -E "$result_initname_re" | sed -r "s/$result_initname_re/\1/")
# Search the old regular expressions so that this will
# pass on older kernels as well.
if [ -z "$line" ] ; then
result_filename_re="[[:space:]]+([[:digit:]]+)[[:space:]]+result->uptr.*"
line=$(perf probe -L getname_flags 2>&1 | grep -E "$result_filename_re" | sed -r "s/$result_filename_re/\1/")
fi
if [ -z "$line" ] ; then
result_aname_re="[[:space:]]+([[:digit:]]+)[[:space:]]+result->aname = NULL;"
line=$(perf probe -L getname_flags 2>&1 | grep -E "$result_aname_re" | sed -r "s/$result_aname_re/\1/")
fi
if [ -z "$line" ] ; then
echo "Could not find probeable line"
return 2
fi
perf probe -q "vfs_getname=getname_flags:${line} pathname=result->name:string" || \
perf probe $add_probe_verbose "vfs_getname=getname_flags:${line} pathname=filename:ustring" || return 1
fi
}
skip_if_no_debuginfo() {
add_probe_vfs_getname -v 2>&1 | grep -E -q "^(Failed to find the path for the kernel|Debuginfo-analysis is not supported)|(file has no debug information)" && return 2
return 1
}
# check if perf is compiled with libtraceevent support
skip_no_probe_record_support() {
if [ $had_vfs_getname -eq 1 ] ; then
perf check feature -q libtraceevent && return 1
return 2
fi
}
@@ -0,0 +1,16 @@
#!/bin/bash
# SPDX-License-Identifier: GPL-2.0
if [ "x$PYTHON" = "x" ]
then
python3 --version >/dev/null 2>&1 && PYTHON=python3
fi
if [ "x$PYTHON" = "x" ]
then
python --version >/dev/null 2>&1 && PYTHON=python
fi
if [ "x$PYTHON" = "x" ]
then
echo Skipping test, python not detected please set environment variable PYTHON.
exit 2
fi
@@ -0,0 +1,195 @@
#!/bin/bash
# SPDX-License-Identifier: GPL-2.0
# Return true if perf_event_paranoid is > $1 and not running as root.
function ParanoidAndNotRoot()
{
[ "$(id -u)" != 0 ] && [ "$(cat /proc/sys/kernel/perf_event_paranoid)" -gt $1 ]
}
# $1 name $2 extra_opt
check_no_args()
{
echo -n "Checking $1 output: no args "
perf stat $2 true
commachecker --no-args
echo "[Success]"
}
check_system_wide()
{
echo -n "Checking $1 output: system wide "
if ParanoidAndNotRoot 0
then
echo "[Skip] paranoid and not root"
return
fi
perf stat -a $2 true
commachecker --system-wide
echo "[Success]"
}
check_system_wide_no_aggr()
{
echo -n "Checking $1 output: system wide no aggregation "
if ParanoidAndNotRoot 0
then
echo "[Skip] paranoid and not root"
return
fi
perf stat -A -a --no-merge $2 true
commachecker --system-wide-no-aggr
echo "[Success]"
}
check_interval()
{
echo -n "Checking $1 output: interval "
perf stat -I 1000 $2 true
commachecker --interval
echo "[Success]"
}
check_event()
{
echo -n "Checking $1 output: event "
perf stat -e cpu-clock $2 true
commachecker --event
echo "[Success]"
}
check_per_core()
{
echo -n "Checking $1 output: per core "
if ParanoidAndNotRoot 0
then
echo "[Skip] paranoid and not root"
return
fi
perf stat --per-core -a $2 true
commachecker --per-core
echo "[Success]"
}
check_per_thread()
{
echo -n "Checking $1 output: per thread "
if ParanoidAndNotRoot 0
then
echo "[Skip] paranoid and not root"
return
fi
perf stat --per-thread -p $$ $2 true
commachecker --per-thread
echo "[Success]"
}
check_per_cache_instance()
{
echo -n "Checking $1 output: per cache instance "
if ParanoidAndNotRoot 0
then
echo "[Skip] paranoid and not root"
return
fi
perf stat --per-cache -a $2 true
commachecker --per-cache
echo "[Success]"
}
check_per_cluster()
{
echo -n "Checking $1 output: per cluster "
if ParanoidAndNotRoot 0
then
echo "[Skip] paranoid and not root"
return
fi
perf stat --per-cluster -a $2 true
echo "[Success]"
}
check_per_die()
{
echo -n "Checking $1 output: per die "
if ParanoidAndNotRoot 0
then
echo "[Skip] paranoid and not root"
return
fi
perf stat --per-die -a $2 true
commachecker --per-die
echo "[Success]"
}
check_per_node()
{
echo -n "Checking $1 output: per node "
if ParanoidAndNotRoot 0
then
echo "[Skip] paranoid and not root"
return
fi
perf stat --per-node -a $2 true
commachecker --per-node
echo "[Success]"
}
check_per_socket()
{
echo -n "Checking $1 output: per socket "
if ParanoidAndNotRoot 0
then
echo "[Skip] paranoid and not root"
return
fi
perf stat --per-socket -a $2 true
commachecker --per-socket
echo "[Success]"
}
check_metric_only()
{
echo -n "Checking $1 output: metric only "
if [ "$(uname -m)" = "s390x" ] && ! grep '^facilities' /proc/cpuinfo | grep -qw 67
then
echo "[Skip] CPU-measurement counter facility not installed"
return
fi
perf stat --metric-only $2 -M page_faults_per_second true
commachecker --metric-only
echo "[Success]"
}
# The perf stat options for per-socket, per-core, per-die
# and -A ( no_aggr mode ) uses the info fetched from this
# directory: "/sys/devices/system/cpu/cpu*/topology". For
# example, socket value is fetched from "physical_package_id"
# file in topology directory.
# Reference: cpu__get_topology_int in util/cpumap.c
# If the platform doesn't expose topology information, values
# will be set to -1. For example, incase of pSeries platform
# of powerpc, value for "physical_package_id" is restricted
# and set to -1. Check here validates the socket-id read from
# topology file before proceeding further
FILE_LOC="/sys/devices/system/cpu/cpu*/topology/"
FILE_NAME="physical_package_id"
function check_for_topology()
{
if ! ParanoidAndNotRoot 0
then
socket_file=`ls $FILE_LOC/$FILE_NAME | head -n 1`
[ -z $socket_file ] && {
echo 0
return
}
socket_id=`cat $socket_file`
[ $socket_id == -1 ] && {
echo 1
return
}
fi
echo 0
}
@@ -0,0 +1,78 @@
#!/bin/bash
# SPDX-License-Identifier: GPL-2.0
tenths=date\ +%s%1N
# Wait for PID $1 to have $2 number of threads started
# Time out after $3 tenths of a second or 5 seconds if $3 is ""
wait_for_threads()
{
tm_out=$3 ; [ -n "${tm_out}" ] || tm_out=50
start_time=$($tenths)
while [ -e "/proc/$1/task" ] ; do
th_cnt=$(find "/proc/$1/task" -mindepth 1 -maxdepth 1 -printf x | wc -c)
if [ "${th_cnt}" -ge "$2" ] ; then
return 0
fi
# Wait at most tm_out tenths of a second
if [ $(($($tenths) - start_time)) -ge $tm_out ] ; then
echo "PID $1 does not have $2 threads"
return 1
fi
done
return 1
}
# Wait for perf record -vvv 2>$2 with PID $1 to start by looking at file $2
# It depends on capturing perf record debug message "perf record has started"
# Time out after $3 tenths of a second or 5 seconds if $3 is ""
wait_for_perf_to_start()
{
tm_out=$3 ; [ -n "${tm_out}" ] || tm_out=50
echo "Waiting for \"perf record has started\" message"
start_time=$($tenths)
while [ -e "/proc/$1" ] ; do
if grep -q "perf record has started" "$2" ; then
echo OK
break
fi
# Wait at most tm_out tenths of a second
if [ $(($($tenths) - start_time)) -ge $tm_out ] ; then
echo "perf recording did not start"
return 1
fi
done
return 0
}
# Wait for process PID %1 to exit
# Time out after $2 tenths of a second or 5 seconds if $2 is ""
wait_for_process_to_exit()
{
tm_out=$2 ; [ -n "${tm_out}" ] || tm_out=50
start_time=$($tenths)
while [ -e "/proc/$1" ] ; do
# Wait at most tm_out tenths of a second
if [ $(($($tenths) - start_time)) -ge $tm_out ] ; then
echo "PID $1 did not exit as expected"
return 1
fi
done
return 0
}
# Check if PID $1 is still running after $2 tenths of a second
# or 0.3 seconds if $2 is ""
is_running()
{
tm_out=$2 ; [ -n "${tm_out}" ] || tm_out=3
start_time=$($tenths)
while [ -e "/proc/$1" ] ; do
# Check for at least tm_out tenths of a second
if [ $(($($tenths) - start_time)) -gt $tm_out ] ; then
return 0
fi
done
echo "PID $1 exited prematurely"
return 1
}