mirror of
https://github.com/littlefs-project/littlefs.git
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616b4e1c9e
With the quantity of data being output by bench.py now, filtering ASAP while parsing CSV files is a valuable optimization. And thanks to how CSV files are structured, we can even avoid ever loading the full contents into RAM. This does end up with use filtering for defines redundantly in a few places, but this is well worth the saved overhead from early filtering. Also tried to clean up the plot.py/plotmpl.py's data folding path, though that may have been wasted effort.
1372 lines
45 KiB
Python
Executable File
1372 lines
45 KiB
Python
Executable File
#!/usr/bin/env python3
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#
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# Script to aggregate and report Linux perf results.
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#
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# Example:
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# ./scripts/perf.py -R -obench.perf ./runners/bench_runner
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# ./scripts/perf.py bench.perf -j -Flfs.c -Flfs_util.c -Scycles
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#
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# Copyright (c) 2022, The littlefs authors.
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# SPDX-License-Identifier: BSD-3-Clause
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#
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import bisect
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import collections as co
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import csv
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import errno
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import fcntl
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import functools as ft
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import itertools as it
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import math as m
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import multiprocessing as mp
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import os
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import re
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import shlex
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import shutil
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import subprocess as sp
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import tempfile
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import zipfile
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# TODO support non-zip perf results?
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PERF_PATH = ['perf']
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PERF_EVENTS = 'cycles,branch-misses,branches,cache-misses,cache-references'
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PERF_FREQ = 100
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OBJDUMP_PATH = ['objdump']
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THRESHOLD = (0.5, 0.85)
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# integer fields
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class Int(co.namedtuple('Int', 'x')):
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__slots__ = ()
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def __new__(cls, x=0):
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if isinstance(x, Int):
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return x
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if isinstance(x, str):
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try:
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x = int(x, 0)
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except ValueError:
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# also accept +-∞ and +-inf
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if re.match('^\s*\+?\s*(?:∞|inf)\s*$', x):
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x = m.inf
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elif re.match('^\s*-\s*(?:∞|inf)\s*$', x):
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x = -m.inf
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else:
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raise
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assert isinstance(x, int) or m.isinf(x), x
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return super().__new__(cls, x)
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def __str__(self):
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if self.x == m.inf:
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return '∞'
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elif self.x == -m.inf:
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return '-∞'
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else:
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return str(self.x)
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def __int__(self):
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assert not m.isinf(self.x)
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return self.x
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def __float__(self):
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return float(self.x)
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none = '%7s' % '-'
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def table(self):
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return '%7s' % (self,)
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diff_none = '%7s' % '-'
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diff_table = table
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def diff_diff(self, other):
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new = self.x if self else 0
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old = other.x if other else 0
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diff = new - old
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if diff == +m.inf:
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return '%7s' % '+∞'
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elif diff == -m.inf:
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return '%7s' % '-∞'
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else:
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return '%+7d' % diff
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def ratio(self, other):
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new = self.x if self else 0
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old = other.x if other else 0
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if m.isinf(new) and m.isinf(old):
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return 0.0
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elif m.isinf(new):
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return +m.inf
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elif m.isinf(old):
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return -m.inf
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elif not old and not new:
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return 0.0
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elif not old:
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return 1.0
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else:
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return (new-old) / old
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def __add__(self, other):
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return self.__class__(self.x + other.x)
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def __sub__(self, other):
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return self.__class__(self.x - other.x)
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def __mul__(self, other):
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return self.__class__(self.x * other.x)
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# perf results
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class PerfResult(co.namedtuple('PerfResult', [
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'file', 'function', 'line',
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'cycles', 'bmisses', 'branches', 'cmisses', 'caches',
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'children'])):
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_by = ['file', 'function', 'line']
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_fields = ['cycles', 'bmisses', 'branches', 'cmisses', 'caches']
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_sort = ['cycles', 'bmisses', 'cmisses', 'branches', 'caches']
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_types = {
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'cycles': Int,
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'bmisses': Int, 'branches': Int,
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'cmisses': Int, 'caches': Int}
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__slots__ = ()
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def __new__(cls, file='', function='', line=0,
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cycles=0, bmisses=0, branches=0, cmisses=0, caches=0,
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children=[]):
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return super().__new__(cls, file, function, int(Int(line)),
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Int(cycles), Int(bmisses), Int(branches), Int(cmisses), Int(caches),
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children)
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def __add__(self, other):
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return PerfResult(self.file, self.function, self.line,
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self.cycles + other.cycles,
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self.bmisses + other.bmisses,
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self.branches + other.branches,
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self.cmisses + other.cmisses,
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self.caches + other.caches,
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self.children + other.children)
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def openio(path, mode='r', buffering=-1):
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# allow '-' for stdin/stdout
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if path == '-':
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if 'r' in mode:
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return os.fdopen(os.dup(sys.stdin.fileno()), mode, buffering)
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else:
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return os.fdopen(os.dup(sys.stdout.fileno()), mode, buffering)
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else:
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return open(path, mode, buffering)
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# run perf as a subprocess, storing measurements into a zip file
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def record(command, *,
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output=None,
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perf_freq=PERF_FREQ,
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perf_period=None,
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perf_events=PERF_EVENTS,
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perf_path=PERF_PATH,
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**args):
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# create a temporary file for perf to write to, as far as I can tell
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# this is strictly needed because perf's pipe-mode only works with stdout
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with tempfile.NamedTemporaryFile('rb') as f:
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# figure out our perf invocation
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perf = perf_path + list(filter(None, [
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'record',
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'-F%s' % perf_freq
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if perf_freq is not None
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and perf_period is None else None,
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'-c%s' % perf_period
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if perf_period is not None else None,
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'-B',
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'-g',
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'--all-user',
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'-e%s' % perf_events,
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'-o%s' % f.name]))
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# run our command
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try:
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if args.get('verbose'):
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print(' '.join(shlex.quote(c) for c in perf + command))
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err = sp.call(perf + command, close_fds=False)
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except KeyboardInterrupt:
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err = errno.EOWNERDEAD
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# synchronize access
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z = os.open(output, os.O_RDWR | os.O_CREAT)
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fcntl.flock(z, fcntl.LOCK_EX)
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# copy measurements into our zip file
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with os.fdopen(z, 'r+b') as z:
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with zipfile.ZipFile(z, 'a',
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compression=zipfile.ZIP_DEFLATED,
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compresslevel=1) as z:
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with z.open('perf.%d' % os.getpid(), 'w') as g:
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shutil.copyfileobj(f, g)
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# forward the return code
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return err
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# try to only process each dso onceS
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#
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# note this only caches with the non-keyword arguments
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def multiprocessing_cache(f):
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local_cache = {}
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manager = mp.Manager()
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global_cache = manager.dict()
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lock = mp.Lock()
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def multiprocessing_cache(*args, **kwargs):
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# check local cache?
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if args in local_cache:
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return local_cache[args]
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# check global cache?
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with lock:
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if args in global_cache:
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v = global_cache[args]
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local_cache[args] = v
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return v
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# fall back to calling the function
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v = f(*args, **kwargs)
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global_cache[args] = v
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local_cache[args] = v
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return v
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return multiprocessing_cache
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@multiprocessing_cache
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def collect_syms_and_lines(obj_path, *,
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objdump_path=None,
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**args):
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symbol_pattern = re.compile(
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'^(?P<addr>[0-9a-fA-F]+)'
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'\s+.*'
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'\s+(?P<size>[0-9a-fA-F]+)'
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'\s+(?P<name>[^\s]+)\s*$')
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line_pattern = re.compile(
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'^\s+(?:'
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# matches dir/file table
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'(?P<no>[0-9]+)'
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'(?:\s+(?P<dir>[0-9]+))?'
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'\s+.*'
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'\s+(?P<path>[^\s]+)'
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# matches line opcodes
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'|' '\[[^\]]*\]\s+'
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'(?:'
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'(?P<op_special>Special)'
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'|' '(?P<op_copy>Copy)'
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'|' '(?P<op_end>End of Sequence)'
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'|' 'File .*?to (?:entry )?(?P<op_file>\d+)'
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'|' 'Line .*?to (?P<op_line>[0-9]+)'
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'|' '(?:Address|PC) .*?to (?P<op_addr>[0x0-9a-fA-F]+)'
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'|' '.' ')*'
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')$', re.IGNORECASE)
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# figure out symbol addresses and file+line ranges
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syms = {}
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sym_at = []
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cmd = objdump_path + ['-t', obj_path]
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if args.get('verbose'):
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print(' '.join(shlex.quote(c) for c in cmd))
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proc = sp.Popen(cmd,
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stdout=sp.PIPE,
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stderr=sp.PIPE if not args.get('verbose') else None,
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universal_newlines=True,
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errors='replace',
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close_fds=False)
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for line in proc.stdout:
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m = symbol_pattern.match(line)
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if m:
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name = m.group('name')
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addr = int(m.group('addr'), 16)
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size = int(m.group('size'), 16)
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# ignore zero-sized symbols
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if not size:
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continue
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# note multiple symbols can share a name
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if name not in syms:
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syms[name] = set()
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syms[name].add((addr, size))
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sym_at.append((addr, name, size))
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proc.wait()
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if proc.returncode != 0:
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if not args.get('verbose'):
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for line in proc.stderr:
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sys.stdout.write(line)
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# assume no debug-info on failure
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pass
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# sort and keep largest/first when duplicates
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sym_at.sort(key=lambda x: (x[0], -x[2], x[1]))
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sym_at_ = []
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for addr, name, size in sym_at:
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if len(sym_at_) == 0 or sym_at_[-1][0] != addr:
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sym_at_.append((addr, name, size))
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sym_at = sym_at_
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# state machine for dwarf line numbers, note that objdump's
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# decodedline seems to have issues with multiple dir/file
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# tables, which is why we need this
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lines = []
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line_at = []
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dirs = {}
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files = {}
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op_file = 1
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op_line = 1
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op_addr = 0
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cmd = objdump_path + ['--dwarf=rawline', obj_path]
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if args.get('verbose'):
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print(' '.join(shlex.quote(c) for c in cmd))
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proc = sp.Popen(cmd,
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stdout=sp.PIPE,
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stderr=sp.PIPE if not args.get('verbose') else None,
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universal_newlines=True,
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errors='replace',
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close_fds=False)
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for line in proc.stdout:
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m = line_pattern.match(line)
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if m:
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if m.group('no') and not m.group('dir'):
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# found a directory entry
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dirs[int(m.group('no'))] = m.group('path')
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elif m.group('no'):
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# found a file entry
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dir = int(m.group('dir'))
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if dir in dirs:
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files[int(m.group('no'))] = os.path.join(
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dirs[dir],
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m.group('path'))
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else:
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files[int(m.group('no'))] = m.group('path')
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else:
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# found a state machine update
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if m.group('op_file'):
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op_file = int(m.group('op_file'), 0)
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if m.group('op_line'):
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op_line = int(m.group('op_line'), 0)
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if m.group('op_addr'):
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op_addr = int(m.group('op_addr'), 0)
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if (m.group('op_special')
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or m.group('op_copy')
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or m.group('op_end')):
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file = os.path.abspath(files.get(op_file, '?'))
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lines.append((file, op_line, op_addr))
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line_at.append((op_addr, file, op_line))
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if m.group('op_end'):
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op_file = 1
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op_line = 1
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op_addr = 0
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proc.wait()
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if proc.returncode != 0:
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if not args.get('verbose'):
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for line in proc.stderr:
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sys.stdout.write(line)
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# assume no debug-info on failure
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pass
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# sort and keep first when duplicates
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lines.sort()
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lines_ = []
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for file, line, addr in lines:
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if len(lines_) == 0 or lines_[-1][0] != file or lines[-1][1] != line:
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lines_.append((file, line, addr))
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lines = lines_
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# sort and keep first when duplicates
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line_at.sort()
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line_at_ = []
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for addr, file, line in line_at:
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if len(line_at_) == 0 or line_at_[-1][0] != addr:
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line_at_.append((addr, file, line))
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line_at = line_at_
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return syms, sym_at, lines, line_at
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def collect_decompressed(path, *,
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perf_path=PERF_PATH,
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sources=None,
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everything=False,
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propagate=0,
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depth=1,
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**args):
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sample_pattern = re.compile(
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'(?P<comm>\w+)'
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'\s+(?P<pid>\w+)'
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'\s+(?P<time>[\w.]+):'
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'\s*(?P<period>\w+)'
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'\s+(?P<event>[^:]+):')
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frame_pattern = re.compile(
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'\s+(?P<addr>\w+)'
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'\s+(?P<sym>[^\s\+]+)(?:\+(?P<off>\w+))?'
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'\s+\((?P<dso>[^\)]+)\)')
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events = {
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'cycles': 'cycles',
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'branch-misses': 'bmisses',
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'branches': 'branches',
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'cache-misses': 'cmisses',
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'cache-references': 'caches'}
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# note perf_path may contain extra args
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cmd = perf_path + [
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'script',
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'-i%s' % path]
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if args.get('verbose'):
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print(' '.join(shlex.quote(c) for c in cmd))
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proc = sp.Popen(cmd,
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stdout=sp.PIPE,
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stderr=sp.PIPE if not args.get('verbose') else None,
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universal_newlines=True,
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errors='replace',
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close_fds=False)
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last_filtered = False
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last_event = ''
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last_period = 0
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last_stack = []
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deltas = co.defaultdict(lambda: {})
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syms_ = co.defaultdict(lambda: {})
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at_cache = {}
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results = {}
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def commit():
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# tail-recursively propagate measurements
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for i in range(len(last_stack)):
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results_ = results
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for j in reversed(range(i+1)):
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if i+1-j > depth:
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break
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# propagate
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name = last_stack[j]
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if name not in results_:
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results_[name] = (co.defaultdict(lambda: 0), {})
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results_[name][0][last_event] += last_period
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# recurse
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results_ = results_[name][1]
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for line in proc.stdout:
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# we need to process a lot of data, so wait to use regex as late
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# as possible
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if not line.startswith('\t'):
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if last_filtered:
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commit()
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last_filtered = False
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if line:
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m = sample_pattern.match(line)
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if m and m.group('event') in events:
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last_filtered = True
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last_event = m.group('event')
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last_period = int(m.group('period'), 0)
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last_stack = []
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elif last_filtered:
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m = frame_pattern.match(line)
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if m:
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# filter out internal/kernel functions
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if not everything and (
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m.group('sym').startswith('__')
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or m.group('sym').startswith('0')
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or m.group('sym').startswith('-')
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or m.group('sym').startswith('[')
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or m.group('dso').startswith('/usr/lib')):
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continue
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dso = m.group('dso')
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sym = m.group('sym')
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off = int(m.group('off'), 0) if m.group('off') else 0
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addr_ = int(m.group('addr'), 16)
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# get the syms/lines for the dso, this is cached
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syms, sym_at, lines, line_at = collect_syms_and_lines(
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dso,
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**args)
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# ASLR is tricky, we have symbols+offsets, but static symbols
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# means we may have multiple options for each symbol.
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#
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# To try to solve this, we use previous seen symbols to build
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# confidence for the correct ASLR delta. This means we may
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# guess incorrectly for early symbols, but this will only affect
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# a few samples.
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if sym in syms:
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sym_addr_ = addr_ - off
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# track possible deltas?
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for sym_addr, size in syms[sym]:
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delta = sym_addr - sym_addr_
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if delta not in deltas[dso]:
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deltas[dso][delta] = sum(
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abs(a_+delta - a)
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for s, (a_, _) in syms_[dso].items()
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for a, _ in syms[s])
|
|
for delta in deltas[dso].keys():
|
|
deltas[dso][delta] += abs(sym_addr_+delta - sym_addr)
|
|
syms_[dso][sym] = sym_addr_, size
|
|
|
|
# guess the best delta
|
|
delta, _ = min(deltas[dso].items(),
|
|
key=lambda x: (x[1], x[0]))
|
|
addr = addr_ + delta
|
|
|
|
# cached?
|
|
if (dso,addr) in at_cache:
|
|
cached = at_cache[(dso,addr)]
|
|
if cached is None:
|
|
# cache says to skip
|
|
continue
|
|
file, line = cached
|
|
else:
|
|
# find file+line
|
|
i = bisect.bisect(line_at, addr, key=lambda x: x[0])
|
|
if i > 0:
|
|
_, file, line = line_at[i-1]
|
|
else:
|
|
file, line = re.sub('(\.o)?$', '.c', dso, 1), 0
|
|
|
|
# ignore filtered sources
|
|
if sources is not None:
|
|
if not any(
|
|
os.path.abspath(file) == os.path.abspath(s)
|
|
for s in sources):
|
|
at_cache[(dso,addr)] = None
|
|
continue
|
|
else:
|
|
# default to only cwd
|
|
if not everything and not os.path.commonpath([
|
|
os.getcwd(),
|
|
os.path.abspath(file)]) == os.getcwd():
|
|
at_cache[(dso,addr)] = None
|
|
continue
|
|
|
|
# simplify path
|
|
if os.path.commonpath([
|
|
os.getcwd(),
|
|
os.path.abspath(file)]) == os.getcwd():
|
|
file = os.path.relpath(file)
|
|
else:
|
|
file = os.path.abspath(file)
|
|
|
|
at_cache[(dso,addr)] = file, line
|
|
else:
|
|
file, line = re.sub('(\.o)?$', '.c', dso, 1), 0
|
|
|
|
last_stack.append((file, sym, line))
|
|
|
|
# stop propogating?
|
|
if propagate and len(last_stack) >= propagate:
|
|
commit()
|
|
last_filtered = False
|
|
if last_filtered:
|
|
commit()
|
|
|
|
proc.wait()
|
|
if proc.returncode != 0:
|
|
if not args.get('verbose'):
|
|
for line in proc.stderr:
|
|
sys.stdout.write(line)
|
|
sys.exit(-1)
|
|
|
|
# rearrange results into result type
|
|
def to_results(results):
|
|
results_ = []
|
|
for name, (r, children) in results.items():
|
|
results_.append(PerfResult(*name,
|
|
**{events[k]: v for k, v in r.items()},
|
|
children=to_results(children)))
|
|
return results_
|
|
|
|
return to_results(results)
|
|
|
|
def collect_job(path, i, **args):
|
|
# decompress into a temporary file, this is to work around
|
|
# some limitations of perf
|
|
with zipfile.ZipFile(path) as z:
|
|
with z.open(i) as f:
|
|
with tempfile.NamedTemporaryFile('wb') as g:
|
|
shutil.copyfileobj(f, g)
|
|
g.flush()
|
|
|
|
return collect_decompressed(g.name, **args)
|
|
|
|
def starapply(args):
|
|
f, args, kwargs = args
|
|
return f(*args, **kwargs)
|
|
|
|
def collect(perf_paths, *,
|
|
jobs=None,
|
|
**args):
|
|
# automatic job detection?
|
|
if jobs == 0:
|
|
jobs = len(os.sched_getaffinity(0))
|
|
|
|
records = []
|
|
for path in perf_paths:
|
|
# each .perf file is actually a zip file containing perf files from
|
|
# multiple runs
|
|
with zipfile.ZipFile(path) as z:
|
|
records.extend((path, i) for i in z.infolist())
|
|
|
|
# we're dealing with a lot of data but also surprisingly
|
|
# parallelizable
|
|
if jobs is not None:
|
|
results = []
|
|
with mp.Pool(jobs) as p:
|
|
for results_ in p.imap_unordered(
|
|
starapply,
|
|
((collect_job, (path, i), args) for path, i in records)):
|
|
results.extend(results_)
|
|
else:
|
|
results = []
|
|
for path, i in records:
|
|
results.extend(collect_job(path, i, **args))
|
|
|
|
return results
|
|
|
|
|
|
def fold(Result, results, *,
|
|
by=None,
|
|
defines=[],
|
|
**_):
|
|
if by is None:
|
|
by = Result._by
|
|
|
|
for k in it.chain(by or [], (k for k, _ in defines)):
|
|
if k not in Result._by and k not in Result._fields:
|
|
print("error: could not find field %r?" % k)
|
|
sys.exit(-1)
|
|
|
|
# filter by matching defines
|
|
if defines:
|
|
results_ = []
|
|
for r in results:
|
|
if all(getattr(r, k) in vs for k, vs in defines):
|
|
results_.append(r)
|
|
results = results_
|
|
|
|
# organize results into conflicts
|
|
folding = co.OrderedDict()
|
|
for r in results:
|
|
name = tuple(getattr(r, k) for k in by)
|
|
if name not in folding:
|
|
folding[name] = []
|
|
folding[name].append(r)
|
|
|
|
# merge conflicts
|
|
folded = []
|
|
for name, rs in folding.items():
|
|
folded.append(sum(rs[1:], start=rs[0]))
|
|
|
|
# fold recursively
|
|
folded_ = []
|
|
for r in folded:
|
|
folded_.append(r._replace(children=fold(
|
|
Result, r.children,
|
|
by=by,
|
|
defines=defines)))
|
|
folded = folded_
|
|
|
|
return folded
|
|
|
|
def table(Result, results, diff_results=None, *,
|
|
by=None,
|
|
fields=None,
|
|
sort=None,
|
|
summary=False,
|
|
all=False,
|
|
percent=False,
|
|
depth=1,
|
|
**_):
|
|
all_, all = all, __builtins__.all
|
|
|
|
if by is None:
|
|
by = Result._by
|
|
if fields is None:
|
|
fields = Result._fields
|
|
types = Result._types
|
|
|
|
# fold again
|
|
results = fold(Result, results, by=by)
|
|
if diff_results is not None:
|
|
diff_results = fold(Result, diff_results, by=by)
|
|
|
|
# organize by name
|
|
table = {
|
|
','.join(str(getattr(r, k) or '') for k in by): r
|
|
for r in results}
|
|
diff_table = {
|
|
','.join(str(getattr(r, k) or '') for k in by): r
|
|
for r in diff_results or []}
|
|
names = list(table.keys() | diff_table.keys())
|
|
|
|
# sort again, now with diff info, note that python's sort is stable
|
|
names.sort()
|
|
if diff_results is not None:
|
|
names.sort(key=lambda n: tuple(
|
|
types[k].ratio(
|
|
getattr(table.get(n), k, None),
|
|
getattr(diff_table.get(n), k, None))
|
|
for k in fields),
|
|
reverse=True)
|
|
if sort:
|
|
for k, reverse in reversed(sort):
|
|
names.sort(
|
|
key=lambda n: tuple(
|
|
(getattr(table[n], k),)
|
|
if getattr(table.get(n), k, None) is not None else ()
|
|
for k in ([k] if k else [
|
|
k for k in Result._sort if k in fields])),
|
|
reverse=reverse ^ (not k or k in Result._fields))
|
|
|
|
|
|
# build up our lines
|
|
lines = []
|
|
|
|
# header
|
|
header = []
|
|
header.append('%s%s' % (
|
|
','.join(by),
|
|
' (%d added, %d removed)' % (
|
|
sum(1 for n in table if n not in diff_table),
|
|
sum(1 for n in diff_table if n not in table))
|
|
if diff_results is not None and not percent else '')
|
|
if not summary else '')
|
|
if diff_results is None:
|
|
for k in fields:
|
|
header.append(k)
|
|
elif percent:
|
|
for k in fields:
|
|
header.append(k)
|
|
else:
|
|
for k in fields:
|
|
header.append('o'+k)
|
|
for k in fields:
|
|
header.append('n'+k)
|
|
for k in fields:
|
|
header.append('d'+k)
|
|
header.append('')
|
|
lines.append(header)
|
|
|
|
def table_entry(name, r, diff_r=None, ratios=[]):
|
|
entry = []
|
|
entry.append(name)
|
|
if diff_results is None:
|
|
for k in fields:
|
|
entry.append(getattr(r, k).table()
|
|
if getattr(r, k, None) is not None
|
|
else types[k].none)
|
|
elif percent:
|
|
for k in fields:
|
|
entry.append(getattr(r, k).diff_table()
|
|
if getattr(r, k, None) is not None
|
|
else types[k].diff_none)
|
|
else:
|
|
for k in fields:
|
|
entry.append(getattr(diff_r, k).diff_table()
|
|
if getattr(diff_r, k, None) is not None
|
|
else types[k].diff_none)
|
|
for k in fields:
|
|
entry.append(getattr(r, k).diff_table()
|
|
if getattr(r, k, None) is not None
|
|
else types[k].diff_none)
|
|
for k in fields:
|
|
entry.append(types[k].diff_diff(
|
|
getattr(r, k, None),
|
|
getattr(diff_r, k, None)))
|
|
if diff_results is None:
|
|
entry.append('')
|
|
elif percent:
|
|
entry.append(' (%s)' % ', '.join(
|
|
'+∞%' if t == +m.inf
|
|
else '-∞%' if t == -m.inf
|
|
else '%+.1f%%' % (100*t)
|
|
for t in ratios))
|
|
else:
|
|
entry.append(' (%s)' % ', '.join(
|
|
'+∞%' if t == +m.inf
|
|
else '-∞%' if t == -m.inf
|
|
else '%+.1f%%' % (100*t)
|
|
for t in ratios
|
|
if t)
|
|
if any(ratios) else '')
|
|
return entry
|
|
|
|
# entries
|
|
if not summary:
|
|
for name in names:
|
|
r = table.get(name)
|
|
if diff_results is None:
|
|
diff_r = None
|
|
ratios = None
|
|
else:
|
|
diff_r = diff_table.get(name)
|
|
ratios = [
|
|
types[k].ratio(
|
|
getattr(r, k, None),
|
|
getattr(diff_r, k, None))
|
|
for k in fields]
|
|
if not all_ and not any(ratios):
|
|
continue
|
|
lines.append(table_entry(name, r, diff_r, ratios))
|
|
|
|
# total
|
|
r = next(iter(fold(Result, results, by=[])), None)
|
|
if diff_results is None:
|
|
diff_r = None
|
|
ratios = None
|
|
else:
|
|
diff_r = next(iter(fold(Result, diff_results, by=[])), None)
|
|
ratios = [
|
|
types[k].ratio(
|
|
getattr(r, k, None),
|
|
getattr(diff_r, k, None))
|
|
for k in fields]
|
|
lines.append(table_entry('TOTAL', r, diff_r, ratios))
|
|
|
|
# find the best widths, note that column 0 contains the names and column -1
|
|
# the ratios, so those are handled a bit differently
|
|
widths = [
|
|
((max(it.chain([w], (len(l[i]) for l in lines)))+1+4-1)//4)*4-1
|
|
for w, i in zip(
|
|
it.chain([23], it.repeat(7)),
|
|
range(len(lines[0])-1))]
|
|
|
|
# adjust the name width based on the call depth
|
|
if not summary:
|
|
depth_ = depth
|
|
if m.isinf(depth_):
|
|
# find the actual depth, this may not terminate! in which
|
|
# case it's up to the user to provide an explicit depth
|
|
def rec_depth(results_):
|
|
# rebuild our tables at each layer
|
|
table_ = {
|
|
','.join(str(getattr(r, k) or '') for k in by): r
|
|
for r in results_}
|
|
names_ = list(table_.keys())
|
|
|
|
return max((
|
|
rec_depth(table_[name].children)
|
|
for name in names_),
|
|
default=-1) + 1
|
|
|
|
depth_ = max((
|
|
rec_depth(table[name].children)
|
|
for name in names
|
|
if name in table),
|
|
default=-1) + 1
|
|
|
|
widths[0] += 4*max(depth_-1, 0)
|
|
|
|
# print the tree recursively
|
|
print('%-*s %s%s' % (
|
|
widths[0], lines[0][0],
|
|
' '.join('%*s' % (w, x)
|
|
for w, x in zip(widths[1:], lines[0][1:-1])),
|
|
lines[0][-1]))
|
|
|
|
if not summary:
|
|
def recurse(results_, depth_, prefixes=('', '', '', '')):
|
|
# rebuild our tables at each layer
|
|
table_ = {
|
|
','.join(str(getattr(r, k) or '') for k in by): r
|
|
for r in results_}
|
|
names_ = list(table_.keys())
|
|
|
|
# sort again at each layer, keep in mind the numbers are
|
|
# changing as we descend
|
|
names_.sort()
|
|
if sort:
|
|
for k, reverse in reversed(sort):
|
|
names_.sort(
|
|
key=lambda n: tuple(
|
|
(getattr(table_[n], k),)
|
|
if getattr(table_.get(n), k, None) is not None
|
|
else ()
|
|
for k in ([k] if k else [
|
|
k for k in Result._sort if k in fields])),
|
|
reverse=reverse ^ (not k or k in Result._fields))
|
|
|
|
for i, name in enumerate(names_):
|
|
r = table_[name]
|
|
is_last = (i == len(names_)-1)
|
|
|
|
print('%s%-*s %s' % (
|
|
prefixes[0+is_last],
|
|
widths[0] - len(prefixes[0+is_last]),
|
|
name,
|
|
' '.join('%*s' % (w, x)
|
|
for w, x in zip(
|
|
widths[1:],
|
|
table_entry(name, r)[1:]))))
|
|
|
|
# recurse?
|
|
if depth_ > 1:
|
|
recurse(
|
|
r.children,
|
|
depth_-1,
|
|
(prefixes[2+is_last] + "|-> ",
|
|
prefixes[2+is_last] + "'-> ",
|
|
prefixes[2+is_last] + "| ",
|
|
prefixes[2+is_last] + " "))
|
|
|
|
# we have enough going on with diffing to make the top layer
|
|
# a special case
|
|
for name, line in zip(names, lines[1:-1]):
|
|
print('%-*s %s%s' % (
|
|
widths[0], line[0],
|
|
' '.join('%*s' % (w, x)
|
|
for w, x in zip(widths[1:], line[1:-1])),
|
|
line[-1]))
|
|
|
|
if name in table and depth > 1:
|
|
recurse(
|
|
table[name].children,
|
|
depth-1,
|
|
("|-> ",
|
|
"'-> ",
|
|
"| ",
|
|
" "))
|
|
|
|
print('%-*s %s%s' % (
|
|
widths[0], lines[-1][0],
|
|
' '.join('%*s' % (w, x)
|
|
for w, x in zip(widths[1:], lines[-1][1:-1])),
|
|
lines[-1][-1]))
|
|
|
|
|
|
def annotate(Result, results, *,
|
|
annotate=None,
|
|
threshold=None,
|
|
branches=False,
|
|
caches=False,
|
|
**args):
|
|
# figure out the threshold
|
|
if threshold is None:
|
|
t0, t1 = THRESHOLD
|
|
elif len(threshold) == 1:
|
|
t0, t1 = threshold[0], threshold[0]
|
|
else:
|
|
t0, t1 = threshold
|
|
t0, t1 = min(t0, t1), max(t0, t1)
|
|
|
|
if not branches and not caches:
|
|
tk = 'cycles'
|
|
elif branches:
|
|
tk = 'bmisses'
|
|
else:
|
|
tk = 'cmisses'
|
|
|
|
# find max cycles
|
|
max_ = max(it.chain((float(getattr(r, tk)) for r in results), [1]))
|
|
|
|
for path in co.OrderedDict.fromkeys(r.file for r in results).keys():
|
|
# flatten to line info
|
|
results = fold(Result, results, by=['file', 'line'])
|
|
table = {r.line: r for r in results if r.file == path}
|
|
|
|
# calculate spans to show
|
|
if not annotate:
|
|
spans = []
|
|
last = None
|
|
func = None
|
|
for line, r in sorted(table.items()):
|
|
if float(getattr(r, tk)) / max_ >= t0:
|
|
if last is not None and line - last.stop <= args['context']:
|
|
last = range(
|
|
last.start,
|
|
line+1+args['context'])
|
|
else:
|
|
if last is not None:
|
|
spans.append((last, func))
|
|
last = range(
|
|
line-args['context'],
|
|
line+1+args['context'])
|
|
func = r.function
|
|
if last is not None:
|
|
spans.append((last, func))
|
|
|
|
with open(path) as f:
|
|
skipped = False
|
|
for i, line in enumerate(f):
|
|
# skip lines not in spans?
|
|
if not annotate and not any(i+1 in s for s, _ in spans):
|
|
skipped = True
|
|
continue
|
|
|
|
if skipped:
|
|
skipped = False
|
|
print('%s@@ %s:%d: %s @@%s' % (
|
|
'\x1b[36m' if args['color'] else '',
|
|
path,
|
|
i+1,
|
|
next(iter(f for _, f in spans)),
|
|
'\x1b[m' if args['color'] else ''))
|
|
|
|
# build line
|
|
if line.endswith('\n'):
|
|
line = line[:-1]
|
|
|
|
r = table.get(i+1)
|
|
if r is not None and (
|
|
float(r.cycles) > 0
|
|
if not branches and not caches
|
|
else float(r.bmisses) > 0 or float(r.branches) > 0
|
|
if branches
|
|
else float(r.cmisses) > 0 or float(r.caches) > 0):
|
|
line = '%-*s // %s' % (
|
|
args['width'],
|
|
line,
|
|
'%s cycles' % r.cycles
|
|
if not branches and not caches
|
|
else '%s bmisses, %s branches' % (r.bmisses, r.branches)
|
|
if branches
|
|
else '%s cmisses, %s caches' % (r.cmisses, r.caches))
|
|
|
|
if args['color']:
|
|
if float(getattr(r, tk)) / max_ >= t1:
|
|
line = '\x1b[1;31m%s\x1b[m' % line
|
|
elif float(getattr(r, tk)) / max_ >= t0:
|
|
line = '\x1b[35m%s\x1b[m' % line
|
|
|
|
print(line)
|
|
|
|
|
|
def report(perf_paths, *,
|
|
by=None,
|
|
fields=None,
|
|
defines=[],
|
|
sort=None,
|
|
branches=False,
|
|
caches=False,
|
|
**args):
|
|
# figure out what color should be
|
|
if args.get('color') == 'auto':
|
|
args['color'] = sys.stdout.isatty()
|
|
elif args.get('color') == 'always':
|
|
args['color'] = True
|
|
else:
|
|
args['color'] = False
|
|
|
|
# depth of 0 == m.inf
|
|
if args.get('depth') == 0:
|
|
args['depth'] = m.inf
|
|
|
|
# find sizes
|
|
if not args.get('use', None):
|
|
results = collect(perf_paths, **args)
|
|
else:
|
|
results = []
|
|
with openio(args['use']) as f:
|
|
reader = csv.DictReader(f, restval='')
|
|
for r in reader:
|
|
# filter by matching defines
|
|
if not all(k in r and r[k] in vs for k, vs in defines):
|
|
continue
|
|
|
|
if not any('perf_'+k in r and r['perf_'+k].strip()
|
|
for k in PerfResult._fields):
|
|
continue
|
|
try:
|
|
results.append(PerfResult(
|
|
**{k: r[k] for k in PerfResult._by
|
|
if k in r and r[k].strip()},
|
|
**{k: r['perf_'+k] for k in PerfResult._fields
|
|
if 'perf_'+k in r and r['perf_'+k].strip()}))
|
|
except TypeError:
|
|
pass
|
|
|
|
# fold
|
|
results = fold(PerfResult, results, by=by, defines=defines)
|
|
|
|
# sort, note that python's sort is stable
|
|
results.sort()
|
|
if sort:
|
|
for k, reverse in reversed(sort):
|
|
results.sort(
|
|
key=lambda r: tuple(
|
|
(getattr(r, k),) if getattr(r, k) is not None else ()
|
|
for k in ([k] if k else PerfResult._sort)),
|
|
reverse=reverse ^ (not k or k in PerfResult._fields))
|
|
|
|
# write results to CSV
|
|
if args.get('output'):
|
|
with openio(args['output'], 'w') as f:
|
|
writer = csv.DictWriter(f,
|
|
(by if by is not None else PerfResult._by)
|
|
+ ['perf_'+k for k in (
|
|
fields if fields is not None else PerfResult._fields)])
|
|
writer.writeheader()
|
|
for r in results:
|
|
writer.writerow(
|
|
{k: getattr(r, k) for k in (
|
|
by if by is not None else PerfResult._by)}
|
|
| {'perf_'+k: getattr(r, k) for k in (
|
|
fields if fields is not None else PerfResult._fields)})
|
|
|
|
# find previous results?
|
|
if args.get('diff'):
|
|
diff_results = []
|
|
try:
|
|
with openio(args['diff']) as f:
|
|
reader = csv.DictReader(f, restval='')
|
|
for r in reader:
|
|
# filter by matching defines
|
|
if not all(k in r and r[k] in vs for k, vs in defines):
|
|
continue
|
|
|
|
if not any('perf_'+k in r and r['perf_'+k].strip()
|
|
for k in PerfResult._fields):
|
|
continue
|
|
try:
|
|
diff_results.append(PerfResult(
|
|
**{k: r[k] for k in PerfResult._by
|
|
if k in r and r[k].strip()},
|
|
**{k: r['perf_'+k] for k in PerfResult._fields
|
|
if 'perf_'+k in r and r['perf_'+k].strip()}))
|
|
except TypeError:
|
|
pass
|
|
except FileNotFoundError:
|
|
pass
|
|
|
|
# fold
|
|
diff_results = fold(PerfResult, diff_results, by=by, defines=defines)
|
|
|
|
# print table
|
|
if not args.get('quiet'):
|
|
if args.get('annotate') or args.get('threshold'):
|
|
# annotate sources
|
|
annotate(PerfResult, results,
|
|
branches=branches,
|
|
caches=caches,
|
|
**args)
|
|
else:
|
|
# print table
|
|
table(PerfResult, results,
|
|
diff_results if args.get('diff') else None,
|
|
by=by if by is not None else ['function'],
|
|
fields=fields if fields is not None
|
|
else ['cycles'] if not branches and not caches
|
|
else ['bmisses', 'branches'] if branches
|
|
else ['cmisses', 'caches'],
|
|
sort=sort,
|
|
**args)
|
|
|
|
|
|
def main(**args):
|
|
if args.get('record'):
|
|
return record(**args)
|
|
else:
|
|
return report(**args)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import argparse
|
|
import sys
|
|
|
|
# bit of a hack, but parse_intermixed_args and REMAINDER are
|
|
# incompatible, so we need to figure out what we want before running
|
|
# argparse
|
|
if '-R' in sys.argv or '--record' in sys.argv:
|
|
nargs = argparse.REMAINDER
|
|
else:
|
|
nargs = '*'
|
|
|
|
argparse.ArgumentParser._handle_conflict_ignore = lambda *_: None
|
|
argparse._ArgumentGroup._handle_conflict_ignore = lambda *_: None
|
|
parser = argparse.ArgumentParser(
|
|
description="Aggregate and report Linux perf results.",
|
|
allow_abbrev=False,
|
|
conflict_handler='ignore')
|
|
parser.add_argument(
|
|
'perf_paths',
|
|
nargs=nargs,
|
|
help="Input *.perf files.")
|
|
parser.add_argument(
|
|
'-v', '--verbose',
|
|
action='store_true',
|
|
help="Output commands that run behind the scenes.")
|
|
parser.add_argument(
|
|
'-q', '--quiet',
|
|
action='store_true',
|
|
help="Don't show anything, useful with -o.")
|
|
parser.add_argument(
|
|
'-o', '--output',
|
|
help="Specify CSV file to store results.")
|
|
parser.add_argument(
|
|
'-u', '--use',
|
|
help="Don't parse anything, use this CSV file.")
|
|
parser.add_argument(
|
|
'-d', '--diff',
|
|
help="Specify CSV file to diff against.")
|
|
parser.add_argument(
|
|
'-a', '--all',
|
|
action='store_true',
|
|
help="Show all, not just the ones that changed.")
|
|
parser.add_argument(
|
|
'-p', '--percent',
|
|
action='store_true',
|
|
help="Only show percentage change, not a full diff.")
|
|
parser.add_argument(
|
|
'-b', '--by',
|
|
action='append',
|
|
choices=PerfResult._by,
|
|
help="Group by this field.")
|
|
parser.add_argument(
|
|
'-f', '--field',
|
|
dest='fields',
|
|
action='append',
|
|
choices=PerfResult._fields,
|
|
help="Show this field.")
|
|
parser.add_argument(
|
|
'-D', '--define',
|
|
dest='defines',
|
|
action='append',
|
|
type=lambda x: (lambda k,v: (k, set(v.split(','))))(*x.split('=', 1)),
|
|
help="Only include results where this field is this value.")
|
|
class AppendSort(argparse.Action):
|
|
def __call__(self, parser, namespace, value, option):
|
|
if namespace.sort is None:
|
|
namespace.sort = []
|
|
namespace.sort.append((value, True if option == '-S' else False))
|
|
parser.add_argument(
|
|
'-s', '--sort',
|
|
nargs='?',
|
|
action=AppendSort,
|
|
help="Sort by this field.")
|
|
parser.add_argument(
|
|
'-S', '--reverse-sort',
|
|
nargs='?',
|
|
action=AppendSort,
|
|
help="Sort by this field, but backwards.")
|
|
parser.add_argument(
|
|
'-Y', '--summary',
|
|
action='store_true',
|
|
help="Only show the total.")
|
|
parser.add_argument(
|
|
'-F', '--source',
|
|
dest='sources',
|
|
action='append',
|
|
help="Only consider definitions in this file. Defaults to anything "
|
|
"in the current directory.")
|
|
parser.add_argument(
|
|
'--everything',
|
|
action='store_true',
|
|
help="Include builtin and libc specific symbols.")
|
|
parser.add_argument(
|
|
'--branches',
|
|
action='store_true',
|
|
help="Show branches and branch misses.")
|
|
parser.add_argument(
|
|
'--caches',
|
|
action='store_true',
|
|
help="Show cache accesses and cache misses.")
|
|
parser.add_argument(
|
|
'-P', '--propagate',
|
|
type=lambda x: int(x, 0),
|
|
help="Depth to propagate samples up the call-stack. 0 propagates up "
|
|
"to the entry point, 1 does no propagation. Defaults to 0.")
|
|
parser.add_argument(
|
|
'-Z', '--depth',
|
|
nargs='?',
|
|
type=lambda x: int(x, 0),
|
|
const=0,
|
|
help="Depth of function calls to show. 0 shows all calls but may not "
|
|
"terminate!")
|
|
parser.add_argument(
|
|
'-A', '--annotate',
|
|
action='store_true',
|
|
help="Show source files annotated with coverage info.")
|
|
parser.add_argument(
|
|
'-T', '--threshold',
|
|
nargs='?',
|
|
type=lambda x: tuple(float(x) for x in x.split(',')),
|
|
const=THRESHOLD,
|
|
help="Show lines with samples above this threshold as a percent of "
|
|
"all lines. Defaults to %s." % ','.join(str(t) for t in THRESHOLD))
|
|
parser.add_argument(
|
|
'-c', '--context',
|
|
type=lambda x: int(x, 0),
|
|
default=3,
|
|
help="Show n additional lines of context. Defaults to 3.")
|
|
parser.add_argument(
|
|
'-W', '--width',
|
|
type=lambda x: int(x, 0),
|
|
default=80,
|
|
help="Assume source is styled with this many columns. Defaults to 80.")
|
|
parser.add_argument(
|
|
'--color',
|
|
choices=['never', 'always', 'auto'],
|
|
default='auto',
|
|
help="When to use terminal colors. Defaults to 'auto'.")
|
|
parser.add_argument(
|
|
'-j', '--jobs',
|
|
nargs='?',
|
|
type=lambda x: int(x, 0),
|
|
const=0,
|
|
help="Number of processes to use. 0 spawns one process per core.")
|
|
parser.add_argument(
|
|
'--perf-path',
|
|
type=lambda x: x.split(),
|
|
help="Path to the perf executable, may include flags. "
|
|
"Defaults to %r." % PERF_PATH)
|
|
parser.add_argument(
|
|
'--objdump-path',
|
|
type=lambda x: x.split(),
|
|
default=OBJDUMP_PATH,
|
|
help="Path to the objdump executable, may include flags. "
|
|
"Defaults to %r." % OBJDUMP_PATH)
|
|
|
|
# record flags
|
|
record_parser = parser.add_argument_group('record options')
|
|
record_parser.add_argument(
|
|
'command',
|
|
nargs=nargs,
|
|
help="Command to run.")
|
|
record_parser.add_argument(
|
|
'-R', '--record',
|
|
action='store_true',
|
|
help="Run a command and aggregate perf measurements.")
|
|
record_parser.add_argument(
|
|
'-o', '--output',
|
|
help="Output file. Uses flock to synchronize. This is stored as a "
|
|
"zip-file of multiple perf results.")
|
|
record_parser.add_argument(
|
|
'--perf-freq',
|
|
help="perf sampling frequency. This is passed directly to perf. "
|
|
"Defaults to %r." % PERF_FREQ)
|
|
record_parser.add_argument(
|
|
'--perf-period',
|
|
help="perf sampling period. This is passed directly to perf.")
|
|
record_parser.add_argument(
|
|
'--perf-events',
|
|
help="perf events to record. This is passed directly to perf. "
|
|
"Defaults to %r." % PERF_EVENTS)
|
|
record_parser.add_argument(
|
|
'--perf-path',
|
|
type=lambda x: x.split(),
|
|
help="Path to the perf executable, may include flags. "
|
|
"Defaults to %r." % PERF_PATH)
|
|
|
|
# avoid intermixed/REMAINDER conflict, see above
|
|
if nargs == argparse.REMAINDER:
|
|
args = parser.parse_args()
|
|
else:
|
|
args = parser.parse_intermixed_args()
|
|
|
|
# perf_paths/command overlap, so need to do some munging here
|
|
args.command = args.perf_paths
|
|
if args.record:
|
|
if not args.command:
|
|
print('error: no command specified?')
|
|
sys.exit(-1)
|
|
if not args.output:
|
|
print('error: no output file specified?')
|
|
sys.exit(-1)
|
|
|
|
sys.exit(main(**{k: v
|
|
for k, v in vars(args).items()
|
|
if v is not None}))
|