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toplev.py
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toplev.py
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#!/usr/bin/env python
# Copyright (c) 2012-2020, Intel Corporation
# Author: Andi Kleen
#
# This program is free software; you can redistribute it and/or modify it
# under the terms and conditions of the GNU General Public License,
# version 2, as published by the Free Software Foundation.
#
# This program is distributed in the hope it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
# more details.
#
# Measure a workload using the topdown performance model:
# estimate on which part of the CPU pipeline it bottlenecks.
#
# Must find ocperf in python module path.
# Handles a variety of perf and kernel versions, but older ones have various
# limitations.
# Environment variables for overrides (see also tl_cpu/ocperf):
# TOPOLOGY=file Read sysfs topology from file. Also --force-topology
# PERF=exe Force perf binary to run
# FORCE_NMI_WATCHDOG=1 Force NMI watchdog mode
# KERNEL_VERSION=... Force kernel version (e.g. 5.0)
# FORCEMETRICS=1 Force fixed metrics and slots
# TLSEED=n Set seed for --subset sample: sampling
# DURATION_TIME=0 Force not using duration_time
# NUM_RUNNERS=n Use n runners to fake hybrid
from __future__ import print_function, division
import sys
import os
import re
import textwrap
import platform
import pty
import subprocess
import argparse
import time
import types
import csv
import bisect
import random
import io
import glob
from copy import copy
from fnmatch import fnmatch
from collections import defaultdict, Counter, OrderedDict
from itertools import compress, groupby, chain
from listutils import cat_unique, dedup, filternot, not_list, append_dict, zip_longest, flatten, findprefix, dummy_dict
from objutils import has, safe_ref, map_fields
from tl_stat import ComputeStat, ValStat, combine_valstat
import tl_cpu
import tl_output
import ocperf
import event_download
from tl_uval import UVal
from tl_io import flex_open_r, flex_open_w, popentext
known_cpus = (
("snb", (42, )),
("jkt", (45, )),
("ivb", (58, )),
("ivt", (62, )),
("hsw", (60, 70, 69 )),
("hsx", (63, )),
("slm", (55, 77, 76, )),
("bdw", (61, 71, )),
("bdx", (79, 86, )),
("simple", ()),
("skl", (94, 78, 142, 158, 165, 166, )),
("knl", (87, )),
("skx", ((85, 4,), )),
("clx", ((85, 5,), (85, 6,), (85, 7,), (85, 8,), (85, 9,), (85, 10,), )),
("icl", (126, 125, 157,
167, )), # RKL as ICL for now
("tgl", (140, 141, )),
("icx", (106, 108, )),
)
eventlist_alias = {
140: "GenuineIntel-6-7E", # use ICL list for TGL for now
141: "GenuineIntel-6-7E", # use ICL list for TGL for now
167: "GenuineIntel-6-7E", # use ICL list for RKL for now
}
tsx_cpus = ("hsw", "hsx", "bdw", "skl", "skx", "clx", "icl", "tgl", "icx")
hybrid_cpus = ("adl", )
non_json_events = set(("dummy", "duration_time"))
# handle kernels that don't support all events
unsup_pebs = (
("BR_MISP_RETIRED.ALL_BRANCHES:pp", (("hsw",), (3, 18), None)),
("MEM_LOAD_UOPS_L3_HIT_RETIRED.XSNP_HITM:pp", (("hsw",), (3, 18), None)),
("MEM_LOAD_UOPS_RETIRED.L3_MISS:pp", (("hsw",), (3, 18), None)),
)
ivb_ht_39 = (("ivb", "ivt"), (4, 1), (3, 9))
# uncomment if you removed commit 741a698f420c3 from kernel
#ivb_ht_39 = ((), None, None)
# both kernel bugs and first time a core was supported
# disable events if the kernel does not support them properly
# this does not handle backports (override with --force-events)
unsup_events = (
# commit 36bbb2f2988a29
("OFFCORE_RESPONSE.DEMAND_RFO.L3_HIT.HITM_OTHER_CORE", (("hsw", "hsx"), (3, 18), None)),
# commit 741a698f420c3 broke it, commit e979121b1b and later fixed it
("MEM_LOAD_UOPS_L*_HIT_RETIRED.*", ivb_ht_39),
("MEM_LOAD_UOPS_RETIRED.*", ivb_ht_39),
("MEM_LOAD_UOPS_L*_MISS_RETIRED.*", ivb_ht_39),
("MEM_UOPS_RETIRED.*", ivb_ht_39),
# commit 5e176213a6b2bc
# the event works, but it cannot put into the same group as
# any other CYCLE_ACTIVITY.* event. For now black list, but
# could also special case this in the group scheduler.
("CYCLE_ACTIVITY.STALLS_TOTAL", (("bdw", (4, 4), None))),
# commit 91f1b70582c62576
("CYCLE_ACTIVITY.*", (("bdw"), (4, 1), None)),
("L1D_PEND_MISS.PENDING", (("bdw"), (4, 1), None)),
# commit 6113af14c8
("CYCLE_ACTIVITY:CYCLES_LDM_PENDING", (("ivb", "ivt"), (3, 12), None)),
# commit f8378f52596477
("CYCLE_ACTIVITY.*", (("snb", "jkt"), (3, 9), None)),
# commit 0499bd867bd17c (ULT) or commit 3a632cb229bfb18 (other)
# technically most haswells are 3.10, but ULT is 3.11
("L1D_PEND_MISS.PENDING", (("hsw",), (3, 11), None)),
("L1D_PEND_MISS.PENDING", (("hsx"), (3, 10), None)),
# commit c420f19b9cdc
("CYCLE_ACTIVITY.*_L1D_PENDING", (("hsw", "hsx"), (4, 1), None)),
("CYCLE_ACTIVITY.CYCLES_NO_EXECUTE", (("hsw", "hsx"), (4, 1), None)),
# commit 3a632cb229b
("CYCLE_ACTIVITY.*", (("hsw", "hsx"), (3, 11), None)))
FIXED_BASE = 50
METRICS_BASE = 100
SPECIAL_END = 130
limited_counters_base = {
"instructions": FIXED_BASE + 0,
"cycles": FIXED_BASE + 1,
"ref-cycles": FIXED_BASE + 2,
"slots": FIXED_BASE + 3,
"cpu_core/slots/": FIXED_BASE + 3,
"topdown.slots": FIXED_BASE + 3,
"topdown-fe-bound": METRICS_BASE + 0,
"cpu_core/topdown-fe-bound/": METRICS_BASE + 0,
"topdown-be-bound": METRICS_BASE + 1,
"cpu_core/topdown-be-bound/": METRICS_BASE + 1,
"topdown-bad-spec": METRICS_BASE + 2,
"cpu_core/topdown-bad-spec/": METRICS_BASE + 2,
"topdown-retiring": METRICS_BASE + 3,
"cpu_core/topdown-retiring/": METRICS_BASE + 3,
"cpu/cycles-ct/": 2,
"cpu_core/cycles-ct/": 2,
}
event_nocheck = False
class EventContext(object):
"""Event related context for a given target CPU."""
def __init__(self, pmu):
self.constraint_fixes = dict()
self.errata_whitelist = []
self.outgroup_events = set(["dummy", "duration_time", "msr/tsc/"])
self.sched_ignore_events = set([])
self.require_pebs_events = set([])
self.core_domains = set(["Slots", "CoreClocks", "CoreMetric"])
self.limited_counters = dict(limited_counters_base)
self.limited_set = set(self.limited_counters.keys())
self.fixed_events = set([x for x in self.limited_counters
if FIXED_BASE <= self.limited_counters[x] <= SPECIAL_END])
self.errata_events = dict()
self.errata_warn_events = dict()
self.limit4_events = set()
self.notfound_cache = dict()
self.rmap_cache = dict()
self.slots_available = False
self.emap = None
if pmu is None or pmu not in cpu.counters:
pmu = "cpu"
self.standard_counters = cpu.standard_counters[pmu]
self.counters = cpu.counters[pmu]
self.limit4_counters = cpu.limit4_counters[pmu]
ectx = None
smt_mode = False
test_mode = os.getenv("TL_TESTER")
def warn(msg):
print("warning: " + msg, file=sys.stderr)
if test_mode:
assert 0
warned = set()
def warn_once(msg):
if msg not in warned:
warn(msg)
warned.add(msg)
if test_mode:
assert 0
def warn_once_no_assert(msg):
if msg not in warned:
print("warning: " + msg, file=sys.stderr)
warned.add(msg)
if test_mode:
assert 0
def print_once(msg):
if msg not in warned:
print(msg)
warned.add(msg)
def debug_print(x):
if args.debug:
print(x, file=sys.stderr)
def obj_debug_print(obj, x):
if args.debug or (args.dfilter and obj.name in args.dfilter):
print(x, file=sys.stderr)
def test_debug_print(x):
if args.debug or test_mode:
print(x, file=sys.stderr)
def works(x):
return os.system(x + " >/dev/null 2>/dev/null") == 0
exists_cache = dict()
def cached_exists(fn):
if fn in exists_cache:
return exists_cache[fn]
found = os.path.exists(fn)
exists_cache[fn] = found
return found
class PerfFeatures(object):
"""Adapt to the quirks of various perf versions."""
def __init__(self, args):
pmu = "cpu"
if os.path.exists("/sys/devices/cpu_core"):
pmu = "cpu_core"
self.perf = os.getenv("PERF")
if not self.perf:
self.perf = "perf"
ret = os.system(self.perf + " stat --log-fd 3 3>/dev/null true")
if ret:
# work around the insane perf setup on Debian derivates
# it fails if the perf isn't the same as the kernel
# look for the underlying perf installs, if any
# perf is compatible, so just pick the newest
if ret == 512:
l = sorted(glob.glob("/usr/lib/linux-tools*/perf"),
key=lambda x: [int(t) if t.isdigit() else t for t in re.split(r'(\d+)', x)])
if len(l) > 0:
self.perf = l[0]
ret = os.system(self.perf + " stat --log-fd 3 3>/dev/null true")
if ret:
sys.exit("perf binary is too old/not installed or perf is disabled in /proc/sys/kernel/perf_event_paranoid")
self.logfd_supported = ret == 0
self.supports_power = (
not args.no_uncore
and not args.force_hypervisor
and works(self.perf + " stat -e power/energy-cores/ -a true"))
self.supports_percore = works(self.perf + " stat --percore-show-thread true")
dt = os.getenv("DURATION_TIME")
if dt:
self.supports_duration_time = int(dt)
else:
self.supports_duration_time = works(self.perf + " list duration_time | grep duration_time")
# guests don't support offcore response
if event_nocheck:
self.has_max_precise = True
self.max_precise = 3
else:
self.has_max_precise = os.path.exists("/sys/devices/%s/caps/max_precise" % pmu)
if self.has_max_precise:
self.max_precise = int(open("/sys/devices/%s/caps/max_precise" % pmu).read())
if args.exclusive and not args.print and not works(self.perf + " stat -e '{branches,branches,branches,branches}:e' true"):
sys.exit("perf binary does not support :e exclusive modifier")
def kv_to_key(v):
return v[0] * 100 + v[1]
def unsup_event(e, table, min_kernel=None):
if ":" in e:
e = e[:e.find(":")]
for j in table:
if fnmatch(e, j[0]) and cpu.realcpu in j[1][0]:
break
else:
return False
v = j[1]
if v[1] and kernel_version < kv_to_key(v[1]):
if min_kernel:
min_kernel.append(v[1])
return True
if v[2] and kernel_version >= kv_to_key(v[2]):
return False
return False
def remove_qual(ev):
return re.sub(r':[ku]+', '', re.sub(r'/[ku]+', '/', ev))
def limited_overflow(evlist):
assigned = Counter([ectx.limited_counters[x] for x in evlist if x in ectx.limited_counters]).values()
return any([x > 1 for x in assigned])
# limited to first four counters on ICL+
def limit4_overflow(evlist):
return sum([x in ectx.limit4_events for x in evlist]) > 4
def ismetric(x):
return x.startswith("topdown-") or x.startswith("cpu_core/topdown-")
resources = ("frontend=", "offcore_rsp=", "ldlat=", "in_tx_cp=", "cycles-ct")
def event_to_resource(ev):
for j in resources:
if j in ev:
return j
return ""
def resource_split(evlist):
r = Counter(map(event_to_resource, evlist))
for j in sorted(r.keys()):
if j == "":
continue
if j == "offcore_rsp=":
if r[j] > 2:
return True
elif r[j] > 1:
return True
return False
def num_generic_counters(evset):
# XXX does not handle formulas having different u/k qualifiers, but we would need to fix the
# callers to be consistent to handle that
return len(evset - set(add_filter(ectx.fixed_events)) - ectx.fixed_events - ectx.outgroup_events - ectx.sched_ignore_events)
FORCE_SPLIT = 100
# Force metrics into own group
metrics_own_group = True
def is_slots(x):
return x in ("slots", "cpu_core/slots/")
def needed_counters(evlist):
evset = set(evlist)
num = num_generic_counters(evset)
evlist = list(map(remove_qual, evlist))
metrics = [ismetric(x) for x in evlist]
if any(metrics):
# slots must be first if metrics are present
if not is_slots(evlist[0]) and any(map(is_slots, evlist)):
debug_print("split for slots %s" % evlist)
return FORCE_SPLIT
# force split if there are other events.
if metrics_own_group and len(evlist) > sum(metrics) + 1:
debug_print("split for other events in topdown %s" % evlist)
return FORCE_SPLIT
# split if any resource is oversubscribed
if resource_split(evlist):
debug_print("resource split %s" % evlist)
return FORCE_SPLIT
evlist = list(compress(evlist, not_list(metrics)))
# force split if we overflow fixed or limited
# some fixed could be promoted to generic, but that doesn't work
# with ref-cycles.
if limited_overflow(evlist):
debug_print("split for limited overflow %s " % evlist)
return FORCE_SPLIT
if limit4_overflow(evlist):
debug_print("split for limit4 overflow %s" % evlist)
return FORCE_SPLIT
return num
def event_group(evlist):
evlist = add_filter(evlist)
l = []
for is_og, g in groupby(evlist, lambda x: x in ectx.outgroup_events):
if is_og or args.no_group:
l += g
else:
g = list(g)
e = ",".join(g)
n = needed_counters(g)
if n <= ectx.counters:
e = "{%s}" % e
if args.exclusive:
e += ":e"
elif args.pinned and all([ismetric(x) or is_slots(x) for x in g]):
e += ":D"
else:
# the scheduler should have avoided that
warn("group %s with %d does not fit in pmu" % (e, n))
l.append(e)
return ",".join(l)
def exe_dir():
d = os.path.realpath(sys.argv[0])
d = os.path.dirname(d)
if d:
return d
return "."
def add_args(rest, *args):
a = [x for x in args if x not in rest]
return a + rest
def update_arg(arg, flag, sep, newval):
i = findprefix(arg, flag, "--")
if i >= 0:
if arg[i] == flag:
arg[i+1] = newval
else:
arg[i] = flag + sep + newval
return True
return False
def del_arg_val(arg, flag):
i = findprefix(arg, flag, "--")
del arg[i:i+2 if arg[i] == flag else i+1]
p = argparse.ArgumentParser(usage='toplev [options] perf-arguments',
description='''
Estimate on which part of the CPU pipeline a workload bottlenecks using the TopDown model.
The bottlenecks are expressed as a tree with different levels.
Requires a modern Intel CPU.
Examples:
toplev.py -l2 program
measure whole system in level 2 while program is running
toplev.py -l1 --single-thread program
measure single threaded program. system must be idle.
toplev.py -l3 --no-desc -I 100 -x, sleep X
measure whole system for X seconds every 100ms, outputting in CSV format.
toplev.py --all --core C0 taskset -c 0,1 program
Measure program running on core 0 with all nodes and metrics enables
''', epilog='''
Other perf arguments allowed (see the perf documentation)
After -- perf arguments conflicting with toplev can be used.
Some caveats:
toplev defaults to measuring the full system and show data
for all CPUs. Use taskset to limit the workload to known CPUs if needed.
In some cases (idle system, single threaded workload) --single-thread
can also be used to get less output.
The lower levels of the measurement tree are less reliable
than the higher levels. They also rely on counter multi-plexing,
and can not run each equation in a single group, which can cause larger
measurement errors with non steady state workloads
(If you don't understand this terminology; it means measurements
in higher levels are less accurate and it works best with programs that primarily
do the same thing over and over)
If the program is very reproducible -- such as a simple kernel --
it is also possible to use --no-multiplex. In this case the
workload is rerun multiple times until all data is collected.
Only use with sleep if the workload is running in a steady state.
With the --drilldown option toplev can automatically remeasure the workload
with only the nodes needed to measure the particular bottlenecks
This also requires a reproducible or steady-state workload.
toplev needs a new enough perf tool and has specific requirements on
the kernel. See http://github.com/andikleen/pmu-tools/wiki/toplev-kernel-support.''',
formatter_class=argparse.RawDescriptionHelpFormatter)
g = p.add_argument_group('General operation')
g.add_argument('--interval', '-I', help='Measure every ms instead of only once',
type=int)
g.add_argument('--no-multiplex',
help='Do not multiplex, but run the workload multiple times as needed. '
'Requires reproducible workloads.',
action='store_true')
g.add_argument('--single-thread', '-S', help='Measure workload as single thread. Workload must run single threaded. '
'In SMT mode other thread must be idle.', action='store_true')
g.add_argument('--fast', '-F', help='Skip sanity checks to optimize CPU consumption', action='store_true')
g.add_argument('--import', help='Import specified perf stat output file instead of running perf. '
'Must be for same cpu, same arguments, same /proc/cpuinfo, same topology, unless overriden',
dest='import_')
g.add_argument('--subset', help="Process only a subset of the input file with --import. "
"Valid syntax: a-b. Process from seek offset a to b. b is optional. "
"x/n%% process x'th n percent slice. Starts counting at 0. Add - to process to end of input. "
"sample:n%% Sample each time stamp in input with n%% (0-100%%) probability. "
"toplev will automatically round to the next time stamp boundary.")
g.add_argument('--parallel',
help="Run toplev --import in parallel in N processes, or the system's number of CPUs if 0 is specified",
action='store_true')
g.add_argument('--pjobs', type=int, default=0,
help='Number of threads to run with parallel. Default is number of CPUs.')
g.add_argument('--gen-script', help='Generate script to collect perfmon information for --import later',
action='store_true')
g.add_argument('--script-record', help='Use perf stat record in script for faster recording or '
'import generated perf.data (requires new perf)', action='store_true')
g.add_argument('--drilldown', help='Automatically rerun to get more details on bottleneck', action='store_true')
g.add_argument('--show-cpu', help='Print current CPU type and exit',
action='store_true')
g = p.add_argument_group('Measurement filtering')
g.add_argument('--kernel', help='Only measure kernel code', action='store_true')
g.add_argument('--user', help='Only measure user code', action='store_true')
g.add_argument('--cpu', '-C', help=argparse.SUPPRESS)
g.add_argument('--pid', '-p', help=argparse.SUPPRESS)
g.add_argument('--core', help='Limit output to cores. Comma list of Sx-Cx-Tx. All parts optional.')
g.add_argument('--no-aggr', '-A', help='Measure every CPU', action='store_true')
g.add_argument('--cputype', help='Limit to hybrid cpu type (atom or core)', choices=['atom', 'core'])
g = p.add_argument_group('Select events')
g.add_argument('--level', '-l', help='Measure upto level N (max 6)',
type=int, default=-1)
g.add_argument('--metrics', '-m', help="Print extra metrics", action='store_true')
g.add_argument('--sw', help="Measure perf Linux metrics", action='store_true')
g.add_argument('--no-util', help="Do not measure CPU utilization", action='store_true')
g.add_argument('--tsx', help="Measure TSX metrics", action='store_true')
g.add_argument('--all', help="Measure everything available", action='store_true')
g.add_argument('--frequency', help="Measure frequency", action='store_true')
g.add_argument('--power', help='Display power metrics', action='store_true')
g.add_argument('--nodes', help='Include or exclude nodes (with + to add, -|^ to remove, '
'comma separated list, wildcards allowed, add * to include all children/siblings, '
'add /level to specify highest level node to match, '
'add ^ to match related siblings and metrics, '
'start with ! to only include specified nodes)')
g.add_argument('--reduced', help='Use reduced server subset of nodes/metrics', action='store_true')
g.add_argument('--metric-group', help='Add (+) or remove (-|^) metric groups of metrics, '
'comma separated list from --list-metric-groups.', default=None)
g.add_argument('--pinned', help='Run topdown metrics (on ICL+) pinned', action='store_true')
g.add_argument('--exclusive', help='Use exclusive groups. Requires new kernel and new perf', action='store_true')
g = p.add_argument_group('Query nodes')
g.add_argument('--list-metrics', help='List all metrics. Can be followed by prefixes to limit, ^ for full match',
action='store_true')
g.add_argument('--list-nodes', help='List all nodes. Can be followed by prefixes to limit, ^ for full match',
action='store_true')
g.add_argument('--list-metric-groups', help='List metric groups.', action='store_true')
g.add_argument('--list-all', help='List every supported node/metric/metricgroup. Can be followed by prefixes to limit, ^ for full match.',
action='store_true')
g.add_argument('--describe', help='Print full descriptions for listed node prefixes. Add ^ to require full match.', action='store_true')
g = p.add_argument_group('Workarounds')
g.add_argument('--no-group', help='Dont use groups', action='store_true')
g.add_argument('--force-events', help='Assume kernel supports all events. May give wrong results.',
action='store_true')
g.add_argument('--ignore-errata', help='Do not disable events with errata', action='store_true', default=True)
g.add_argument('--handle-errata', help='Disable events with errata', action='store_true')
g = p.add_argument_group('Output')
g.add_argument('--per-core', help='Aggregate output per core', action='store_true')
g.add_argument('--per-socket', help='Aggregate output per socket', action='store_true')
g.add_argument('--per-thread', help='Aggregate output per CPU thread', action='store_true')
g.add_argument('--global', help='Aggregate output for all CPUs', action='store_true', dest='global_')
g.add_argument('--no-desc', help='Do not print event descriptions', action='store_true')
g.add_argument('--desc', help='Force event descriptions', action='store_true')
g.add_argument('--verbose', '-v', help='Print all results even when below threshold or exceeding boundaries. '
'Note this can result in bogus values, as the TopDown methodology relies on thresholds '
'to correctly characterize workloads. Values not crossing threshold are marked with <.',
action='store_true')
g.add_argument('--csv', '-x', help='Enable CSV mode with specified delimeter')
g.add_argument('--output', '-o', help='Set output file')
g.add_argument('--split-output', help='Generate multiple output files, one for each specified '
'aggregation option (with -o)',
action='store_true')
g.add_argument('--graph', help='Automatically graph interval output with tl-barplot.py',
action='store_true')
g.add_argument("--graph-cpu", help="CPU to graph using --graph")
g.add_argument('--title', help='Set title of graph')
g.add_argument('--quiet', help='Avoid unnecessary status output', action='store_true')
g.add_argument('--long-desc', help='Print long descriptions instead of abbreviated ones.',
action='store_true')
g.add_argument('--columns', help='Print CPU output in multiple columns for each node', action='store_true')
g.add_argument('--json', help='Print output in JSON format for Chrome about://tracing', action='store_true')
g.add_argument('--summary', help='Print summary at the end. Only useful with -I', action='store_true')
g.add_argument('--no-area', help='Hide area column', action='store_true')
g.add_argument('--perf-output', help='Save perf stat output in specified file')
g.add_argument('--perf-summary', help='Save summarized perf stat output in specified file')
g.add_argument('--no-perf', help=argparse.SUPPRESS, action='store_true') # noop, for compatibility
g.add_argument('--perf', help='Print perf command line', action='store_true')
g.add_argument('--print', help="Only print perf command line. Don't run", action='store_true')
g.add_argument('--idle-threshold', help="Hide idle CPUs (default <5%% of busiest if not CSV, specify percent)",
default=None, type=float)
g.add_argument('--no-output', help="Don't print computed output. Does not affect --summary.", action='store_true')
g.add_argument('--no-mux', help="Don't print mux statistics", action="store_true")
g = p.add_argument_group('Environment')
g.add_argument('--force-cpu', help='Force CPU type', choices=[x[0] for x in known_cpus])
g.add_argument('--force-topology', metavar='findsysoutput', help='Use specified topology file (find /sys/devices)')
g.add_argument('--force-cpuinfo', metavar='cpuinfo', help='Use specified cpuinfo file (/proc/cpuinfo)')
g.add_argument('--force-hypervisor', help='Assume running under hypervisor (no uncore, no offcore, no PEBS)',
action='store_true')
g.add_argument('--no-uncore', help='Disable uncore events', action='store_true')
g.add_argument('--no-check', help='Do not check that PMU units exist', action='store_true')
g = p.add_argument_group('Additional information')
g.add_argument('--print-group', '-g', help='Print event group assignments',
action='store_true')
g.add_argument('--raw', help="Print raw values", action='store_true')
g.add_argument('--valcsv', '-V', help='Write raw counter values into CSV file')
g.add_argument('--stats', help='Show statistics on what events counted', action='store_true')
g = p.add_argument_group('xlsx output')
g.add_argument('--xlsx', help='Generate xlsx spreadsheet output with data for '
'socket/global/thread/core/summary/raw views with 1s interval. '
'Add --single-thread to only get program output.')
g.add_argument('--set-xlsx', help=argparse.SUPPRESS, action='store_true') # set arguments for xlsx only
g.add_argument('--xnormalize', help='Add extra sheets with normalized data in xlsx files', action='store_true')
g.add_argument('--xchart', help='Chart data in xlsx files', action='store_true')
g.add_argument('--keep', help='Keep temporary files', action='store_true')
g.add_argument('--xkeep', dest='keep', action='store_true', help=argparse.SUPPRESS)
g = p.add_argument_group('Sampling')
g.add_argument('--show-sample', help='Show command line to rerun workload with sampling', action='store_true')
g.add_argument('--run-sample', help='Automatically rerun workload with sampling', action='store_true')
g.add_argument('--sample-args', help='Extra arguments to pass to perf record for sampling. Use + to specify -',
default='-g')
g.add_argument('--sample-repeat',
help='Repeat measurement and sampling N times. This interleaves counting and sampling. '
'Useful for background collection with -a sleep X.', type=int)
g.add_argument('--sample-basename', help='Base name of sample perf.data files', default="perf.data")
g.add_argument('-d', help=argparse.SUPPRESS, action='help') # prevent passing this to perf
p.add_argument('--version', help=argparse.SUPPRESS, action='store_true')
p.add_argument('--debug', help=argparse.SUPPRESS, action='store_true') # enable scheduler debugging
p.add_argument('--dfilter', help=argparse.SUPPRESS, action='append')
p.add_argument('--repl', action='store_true', help=argparse.SUPPRESS) # start python repl after initialization
p.add_argument('--filterquals', help=argparse.SUPPRESS, action='store_true') # remove events not supported by perf
p.add_argument('--setvar', help=argparse.SUPPRESS, action='append') # set env variable (for test suite iterating options)
p.add_argument('--tune', nargs='+', help=argparse.SUPPRESS) # override global variables with python expression
p.add_argument('--force-bn', action='append', help=argparse.SUPPRESS) # force bottleneck for testing
p.add_argument('--no-json-header', action='store_true', help=argparse.SUPPRESS) # no [ for json
p.add_argument('--no-json-footer', action='store_true', help=argparse.SUPPRESS) # no ] for json
p.add_argument('--no-csv-header', action='store_true', help=argparse.SUPPRESS) # no header/version for CSV
p.add_argument('--no-csv-footer', action='store_true', help=argparse.SUPPRESS) # no version for CSV
args, rest = p.parse_known_args()
if args.setvar:
for j in args.setvar:
l = j.split("=")
os.environ[l[0]] = l[1]
def output_count():
return args.per_core + args.global_ + args.per_thread + args.per_socket
def multi_output():
return output_count() > 1
def open_output_files():
if args.valcsv:
try:
args.valcsv = flex_open_w(args.valcsv)
except IOError as e:
sys.exit("Cannot open valcsv file %s: %s" % (args.valcsv, e))
if args.perf_output:
try:
args.perf_output = flex_open_w(args.perf_output)
except IOError as e:
sys.exit("Cannot open perf output file %s: %s" % (args.perf_output, e))
def init_xlsx(args):
args.set_xlsx = True
if args.output:
sys.exit("-o / --output not allowed with --xlsx")
if args.valcsv:
sys.exit("--valcsv not allowed with --xlsx")
if args.perf_output:
sys.exit("--perf-output not allowed with --xlsx")
if args.csv:
sys.exit("-c / --csv not allowed with --xlsx")
if not args.xlsx.endswith(".xlsx"):
sys.exit("--xlsx must end in .xlsx")
xlsx_base = re.sub(r'\.xlsx$', '.csv', args.xlsx)
args.valcsv = re.sub(r'\.csv$', '-valcsv.csv', xlsx_base)
args.perf_output = re.sub(r'\.csv$', '-perf.csv', xlsx_base)
args.output = xlsx_base
if args.xchart:
args.xnormalize = True
args.verbose = True
forced_per_socket = False
forced_per_core = False
def set_xlsx(args):
if not args.interval:
args.interval = 1000
args.csv = ','
if args.xlsx:
args.summary = True
if not args.single_thread:
args.per_thread = True
args.split_output = True
global forced_per_socket
if args.per_socket:
forced_per_socket = True
global forced_per_core
if args.per_core:
forced_per_core = True
args.per_socket = True
args.per_core = True
args.no_aggr = True
args.global_ = True
def do_xlsx(env):
cmd = "%s %s/tl-xlsx.py --valcsv '%s' --perf '%s' --cpuinfo '%s' " % (
sys.executable,
exe_dir(),
args.valcsv.name,
args.perf_output.name,
env.cpuinfo if env.cpuinfo else "/proc/cpuinfo")
if args.single_thread:
names = ["program"]
files = [out.logf.name]
else:
names = ((["socket"] if args.per_socket else []) +
(["core"] if args.per_core else []) +
["global", "thread"])
files = [tl_output.output_name(args.output, p) for p in names]
extrafiles = []
extranames = []
charts = []
if args.xnormalize:
for j, n in zip(files, names):
nname = j.replace(".csv", "-norm.csv")
ncmd = "%s %s/interval-normalize.py --normalize-cpu --error-exit < '%s' > '%s'" % (
sys.executable,
exe_dir(),
j,
nname)
if not args.quiet:
print(ncmd)
ret = os.system(ncmd)
if ret:
warn("interval-normalize failed: %d" % ret)
return ret
extrafiles.append(nname)
extranames.append("n" + n)
if args.xchart:
charts.append("n" + n)
cmd += " ".join(["--%s '%s'" % (n, f) for n, f in zip(names, files)])
cmd += " " + " ".join(["--add '%s' '%s'" % (f, n) for n, f in zip(extranames, extrafiles)])
cmd += " " + " ".join(["--chart '%s'" % f for f in charts])
cmd += " '%s'" % args.xlsx
if not args.quiet:
print(cmd)
ret = os.system(cmd)
if not args.keep:
for fn in files + extrafiles:
os.remove(fn)
return ret
def gentmp(o, cpu):
o = re.sub(r'\.(xz|gz)', '', o)
if o.endswith(".csv"):
return o.replace(".csv", "-cpu%d.csv" % cpu)
return o + "-cpu%d" % cpu
def output_to_tmp(arg, outfn):
if not args.output or args.xlsx:
arg.insert(1, "-o" + outfn)
elif update_arg(arg, "--output", "=", outfn):
pass
elif update_arg(arg, "-o", "", outfn):
pass
else:
# does not handle -o combined with other one letter options
sys.exit("Use plain -o / --output argument with --parallel")
def merge_files(files, outf, args):
for j in files:
tl_output.catrmfile(j, outf, args.keep)
# run multiple subset toplevs in parallel and merge the results
def run_parallel(args, env):
procs = []
pofns = []
valfns = []
sums = []
targ = copy(sys.argv)
del targ[targ.index("--parallel")]
ichunk = os.path.getsize(args.import_) / args.pjobs
fileoff = 0
for cpu in range(args.pjobs):
arg = copy(targ)
if args.xlsx:
del_arg_val(arg, "--xlsx")
arg = [arg[0], "--set-xlsx", "--perf-output=X", "--valcsv=X"] + arg[1:]
outfn = gentmp(args.output if args.output else "toplevo%d" % os.getpid(), cpu)
output_to_tmp(arg, outfn)
if args.perf_output or args.xlsx:
pofn = gentmp(args.perf_output if args.perf_output else "toplevp", cpu)
update_arg(arg, "--perf-output", "=", pofn)
pofns.append(pofn)
if args.valcsv or args.xlsx:
valfn = gentmp(args.valcsv if args.valcsv else "toplevv", cpu)
update_arg(arg, "--valcsv", "=", valfn)
valfns.append(valfn)
end = ""
if cpu < args.pjobs-1:
end = "%d" % (fileoff + ichunk)
arg.insert(1, ("--subset=%d-" % fileoff) + end)
fileoff += ichunk
if args.json and args.pjobs > 1:
if cpu > 0:
arg.insert(1, "--no-json-header")
if cpu < args.pjobs - 1 or args.summary:
arg.insert(1, "--no-json-footer")
sumfn = None
if args.summary:
del arg[arg.index("--summary")]
sumfn = gentmp("toplevs%d" % os.getpid(), cpu)
arg.insert(1, "--perf-summary=" + sumfn)
sums.append(sumfn)
if args.pjobs > 1:
if cpu > 0:
arg.insert(1, "--no-csv-header")
if cpu < args.pjobs - 1 or args.summary:
arg.insert(1, "--no-csv-footer")
if not args.quiet:
print(" ".join(arg))
p = subprocess.Popen(arg, stdout=subprocess.PIPE, **popentext)
procs.append((p, outfn))
if args.xlsx:
init_xlsx(args)
set_xlsx(args)
logfiles, logf = tl_output.open_all_logfiles(args, args.output)
for p in procs:
ret = p[0].wait()
if ret:
sys.exit("Subprocess toplev failed %d" % ret)
tl_output.catrmoutput(p[1], logf, logfiles, args.keep)
ret = 0
if sums:
cmd = [sys.executable, exe_dir() + "/interval-merge.py"] + sums
if not args.quiet:
print(" ".join(cmd))
inp = subprocess.Popen(cmd, stdout=subprocess.PIPE)
outfn = "toplevm%d" % os.getpid()
output_to_tmp(targ, outfn)
if args.xlsx:
del_arg_val(targ, "--xlsx")
targ.insert(1, "--set-xlsx")
if args.perf_output:
del_arg_val(targ, "--perf-output")
if args.valcsv:
del_arg_val(targ, "--valcsv")
update_arg(targ, "--import", "=", "/dev/stdin")
targ.insert(1, "--no-output")
if args.json:
targ.insert(1, "--no-json-header")
else:
targ.insert(1, "--no-csv-header")
if not args.quiet:
print(" ".join(targ))
outp = subprocess.Popen(targ, stdin=inp.stdout)
ret = inp.wait()
if ret:
sys.exit("interval-merge failed")
ret = outp.wait()
if ret:
sys.exit("summary toplev failed")
tl_output.catrmoutput(outfn, logf, logfiles, args.keep)
if not args.keep:
for j in sums:
os.remove(j)
open_output_files()
merge_files(valfns, args.valcsv, args)
merge_files(pofns, args.perf_output, args)
if args.xlsx:
ret = do_xlsx(env)
# XXX graph
return ret
if args.idle_threshold:
idle_threshold = args.idle_threshold / 100.
elif args.csv or args.xlsx or args.set_xlsx: # not for args.graph
idle_threshold = 0 # avoid breaking programs that rely on the CSV output
else:
idle_threshold = 0.05
if args.exclusive and args.pinned:
sys.exit("--exclusive and --pinned cannot be combined")
event_nocheck = args.import_ or args.no_check
feat = PerfFeatures(args)
pversion = ocperf.PerfVersion()
def gen_cpu_name(cpu):
if cpu == "simple":
return event_download.get_cpustr()
for j in known_cpus:
if cpu == j[0]:
if isinstance(j[1][0], tuple):
return "GenuineIntel-6-%02X-%d" % j[1][0]
else:
if j[1][0] in eventlist_alias:
return eventlist_alias[j[1][0]]
return "GenuineIntel-6-%02X" % j[1][0]
sys.exit("Unknown cpu %s" % cpu)
return None
if args.tune:
for t in args.tune:
exec(t)
env = tl_cpu.Env()
if args.force_cpu:
env.forcecpu = args.force_cpu
cpuname = gen_cpu_name(args.force_cpu)
if args.force_cpu != "simple":
if not os.getenv("EVENTMAP"):
os.environ["EVENTMAP"] = cpuname
if not os.getenv("UNCORE"):
os.environ["UNCORE"] = cpuname
if args.force_topology:
if not os.getenv("TOPOLOGY"):
os.environ["TOPOLOGY"] = args.force_topology
ocperf.topology = None # force reread
if args.force_cpuinfo:
env.cpuinfo = args.force_cpuinfo
if args.force_hypervisor:
env.hypervisor = True
if args.parallel:
if not args.import_:
sys.exit("--parallel requires --import")
if args.import_.endswith(".xz") or args.import_.endswith(".gz"):
sys.exit("Uncompress input file first") # XXX
if args.perf_summary:
sys.exit("--parallel does not support --perf-summary") # XXX
if args.subset:
# XXX support sample
sys.exit("--parallel does not support --subset")
if args.json and multi_output() and not args.split_output:
sys.exit("--parallel does not support multi-output --json without --split-output")
if args.graph:
sys.exit("--parallel does not support --graph") # XXX
if args.pjobs == 0:
import multiprocessing
args.pjobs = multiprocessing.cpu_count()
sys.exit(run_parallel(args, env))
rest = [x for x in rest if x != "--"]
if args.version:
print("toplev")
sys.exit(0)
if args.cpu:
rest = ["--cpu", args.cpu] + rest
if args.pid:
rest = ["--pid", args.pid] + rest
if args.csv and len(args.csv) != 1:
sys.exit("--csv/-x argument can be only a single character")
if args.xlsx:
init_xlsx(args)
if args.set_xlsx:
set_xlsx(args)
open_output_files()
if args.perf_summary:
try:
args.perf_summary = flex_open_w(args.perf_summary)
except IOError as e:
sys.exit("Cannot open perf summary file %s: %s" % (args.perf_summary, e))
# XXX force no_uncore because the resulting file cannot be imported otherwise?
if args.all:
args.tsx = True
args.power = True