# Copyright (c) 2017 ARM Limited # All rights reserved. # # The license below extends only to copyright in the software and shall # not be construed as granting a license to any other intellectual # property including but not limited to intellectual property relating # to a hardware implementation of the functionality of the software # licensed hereunder. You may use the software subject to the license # terms below provided that you ensure that this notice is replicated # unmodified and in its entirety in all distributions of the software, # modified or unmodified, in source code or in binary form. # # Copyright (c) 2007 The Regents of The University of Michigan # Copyright (c) 2010 The Hewlett-Packard Development Company # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer; # redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution; # neither the name of the copyright holders nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # # Authors: Nathan Binkert # Andreas Sandberg import m5 import _m5.stats from m5.objects import Root from m5.util import attrdict, fatal # Stat exports from _m5.stats import schedStatEvent as schedEvent from _m5.stats import periodicStatDump outputList = [] def _url_factory(func): """Wrap a plain Python function with URL parsing helpers Wrap a plain Python function f(fn, **kwargs) to expect a URL that has been split using urlparse.urlsplit. First positional argument is assumed to be a filename, this is created as the concatenation of the netloc (~hostname) and path in the parsed URL. Keyword arguments are derived from the query values in the URL. For example: wrapped_f(urlparse.urlsplit("text://stats.txt?desc=False")) -> f("stats.txt", desc=False) """ from functools import wraps @wraps(func) def wrapper(url): from urlparse import parse_qs from ast import literal_eval qs = parse_qs(url.query, keep_blank_values=True) # parse_qs returns a list of values for each parameter. Only # use the last value since kwargs don't allow multiple values # per parameter. Use literal_eval to transform string param # values into proper Python types. def parse_value(key, values): if len(values) == 0 or (len(values) == 1 and not values[0]): fatal("%s: '%s' doesn't have a value." % (url.geturl(), key)) elif len(values) > 1: fatal("%s: '%s' has multiple values." % (url.geturl(), key)) else: try: return key, literal_eval(values[0]) except ValueError: fatal("%s: %s isn't a valid Python literal" \ % (url.geturl(), values[0])) kwargs = dict([ parse_value(k, v) for k, v in qs.items() ]) try: return func("%s%s" % (url.netloc, url.path), **kwargs) except TypeError: fatal("Illegal stat visitor parameter specified") return wrapper @_url_factory def _textFactory(fn, desc=True): """Output stats in text format. Text stat files contain one stat per line with an optional description. The description is enabled by default, but can be disabled by setting the desc parameter to False. Example: text://stats.txt?desc=False """ return _m5.stats.initText(fn, desc) factories = { # Default to the text factory if we're given a naked path "" : _textFactory, "file" : _textFactory, "text" : _textFactory, } def addStatVisitor(url): """Add a stat visitor specified using a URL string Stat visitors are specified using URLs on the following format: format://path[?param=value[;param=value]] The available formats are listed in the factories list. Factories are called with the path as the first positional parameter and the parameters are keyword arguments. Parameter values must be valid Python literals. """ from urlparse import urlsplit parsed = urlsplit(url) try: factory = factories[parsed.scheme] except KeyError: fatal("Illegal stat file type specified.") outputList.append(factory(parsed)) def initSimStats(): _m5.stats.initSimStats() _m5.stats.registerPythonStatsHandlers() names = [] stats_dict = {} stats_list = [] def enable(): '''Enable the statistics package. Before the statistics package is enabled, all statistics must be created and initialized and once the package is enabled, no more statistics can be created.''' global stats_list stats_list = list(_m5.stats.statsList()) for stat in stats_list: if not stat.check() or not stat.baseCheck(): fatal("statistic '%s' (%d) was not properly initialized " \ "by a regStats() function\n", stat.name, stat.id) if not (stat.flags & flags.display): stat.name = "__Stat%06d" % stat.id def less(stat1, stat2): v1 = stat1.name.split('.') v2 = stat2.name.split('.') return v1 < v2 stats_list.sort(less) for stat in stats_list: stats_dict[stat.name] = stat stat.enable() _m5.stats.enable(); def prepare(): '''Prepare all stats for data access. This must be done before dumping and serialization.''' for stat in stats_list: stat.prepare() lastDump = 0 def dump(): '''Dump all statistics data to the registered outputs''' curTick = m5.curTick() global lastDump assert lastDump <= curTick if lastDump == curTick: return lastDump = curTick _m5.stats.processDumpQueue() prepare() for output in outputList: if output.valid(): output.begin() for stat in stats_list: stat.visit(output) output.end() def reset(): '''Reset all statistics to the base state''' # call reset stats on all SimObjects root = Root.getInstance() if root: for obj in root.descendants(): obj.resetStats() # call any other registered stats reset callbacks for stat in stats_list: stat.reset() _m5.stats.processResetQueue() flags = attrdict({ 'none' : 0x0000, 'init' : 0x0001, 'display' : 0x0002, 'total' : 0x0010, 'pdf' : 0x0020, 'cdf' : 0x0040, 'dist' : 0x0080, 'nozero' : 0x0100, 'nonan' : 0x0200, })