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llvm-mirror/utils/opt-viewer/optrecord.py
Adam Nemet 0da430395a New tool: opt-diff.py
This tool allows generating the different between two optimization record
files.  The result is a YAML file too that can be visualized with opt-viewer.

This is very useful to see what optimization were added and removed by a
change.

llvm-svn: 296767
2017-03-02 17:00:59 +00:00

215 lines
5.6 KiB
Python

#!/usr/bin/env python2.7
from __future__ import print_function
import yaml
# Try to use the C parser.
try:
from yaml import CLoader as Loader
except ImportError:
print("For faster parsing, you may want to install libYAML for PyYAML")
from yaml import Loader
import functools
from collections import defaultdict
import itertools
from multiprocessing import Pool
from multiprocessing import Lock, cpu_count
import cgi
import subprocess
import traceback
p = subprocess.Popen(['c++filt', '-n'], stdin=subprocess.PIPE, stdout=subprocess.PIPE)
p_lock = Lock()
def demangle(name):
with p_lock:
p.stdin.write(name + '\n')
return p.stdout.readline().rstrip()
def html_file_name(filename):
return filename.replace('/', '_') + ".html"
def make_link(File, Line):
return "{}#L{}".format(html_file_name(File), Line)
class Remark(yaml.YAMLObject):
# Work-around for http://pyyaml.org/ticket/154.
yaml_loader = Loader
def initmissing(self):
if not hasattr(self, 'Hotness'):
self.Hotness = 0
if not hasattr(self, 'Args'):
self.Args = []
@property
def File(self):
return self.DebugLoc['File']
@property
def Line(self):
return int(self.DebugLoc['Line'])
@property
def Column(self):
return self.DebugLoc['Column']
@property
def DebugLocString(self):
return "{}:{}:{}".format(self.File, self.Line, self.Column)
@property
def DemangledFunctionName(self):
return demangle(self.Function)
@property
def Link(self):
return make_link(self.File, self.Line)
def getArgString(self, mapping):
mapping = mapping.copy()
dl = mapping.get('DebugLoc')
if dl:
del mapping['DebugLoc']
assert(len(mapping) == 1)
(key, value) = mapping.items()[0]
if key == 'Caller' or key == 'Callee':
value = cgi.escape(demangle(value))
if dl and key != 'Caller':
return "<a href={}>{}</a>".format(
make_link(dl['File'], dl['Line']), value)
else:
return value
def getDiffPrefix(self):
if hasattr(self, 'Added'):
if self.Added:
return '+'
else:
return '-'
return ''
@property
def PassWithDiffPrefix(self):
return self.getDiffPrefix() + self.Pass
@property
def message(self):
# Args is a list of mappings (dictionaries)
values = [self.getArgString(mapping) for mapping in self.Args]
return "".join(values)
@property
def RelativeHotness(self):
if self.max_hotness:
return "{}%".format(int(round(self.Hotness * 100 / self.max_hotness)))
else:
return ''
@property
def key(self):
k = (self.__class__, self.PassWithDiffPrefix, self.Name, self.File, self.Line, self.Column, self.Function)
for arg in self.Args:
for (key, value) in arg.iteritems():
if type(value) is dict:
value = tuple(value.items())
k += (key, value)
return k
def __hash__(self):
return hash(self.key)
def __eq__(self, other):
return self.key == other.key
def __repr__(self):
return str(self.key)
class Analysis(Remark):
yaml_tag = '!Analysis'
@property
def color(self):
return "white"
class AnalysisFPCommute(Analysis):
yaml_tag = '!AnalysisFPCommute'
class AnalysisAliasing(Analysis):
yaml_tag = '!AnalysisAliasing'
class Passed(Remark):
yaml_tag = '!Passed'
@property
def color(self):
return "green"
class Missed(Remark):
yaml_tag = '!Missed'
@property
def color(self):
return "red"
def get_remarks(input_file):
max_hotness = 0
all_remarks = dict()
file_remarks = defaultdict(functools.partial(defaultdict, list))
with open(input_file) as f:
docs = yaml.load_all(f, Loader=Loader)
for remark in docs:
remark.initmissing()
# Avoid remarks withoug debug location or if they are duplicated
if not hasattr(remark, 'DebugLoc') or remark.key in all_remarks:
continue
all_remarks[remark.key] = remark
file_remarks[remark.File][remark.Line].append(remark)
# If we're reading a back a diff yaml file, max_hotness is already
# captured which may actually be less than the max hotness found
# in the file.
if hasattr(remark, 'max_hotness'):
max_hotness = remark.max_hotness
max_hotness = max(max_hotness, remark.Hotness)
return max_hotness, all_remarks, file_remarks
def gather_results(pmap, filenames):
remarks = pmap(get_remarks, filenames)
max_hotness = max(entry[0] for entry in remarks)
def merge_file_remarks(file_remarks_job, all_remarks, merged):
for filename, d in file_remarks_job.iteritems():
for line, remarks in d.iteritems():
for remark in remarks:
# Bring max_hotness into the remarks so that
# RelativeHotness does not depend on an external global.
remark.max_hotness = max_hotness
if remark.key not in all_remarks:
merged[filename][line].append(remark)
all_remarks = dict()
file_remarks = defaultdict(functools.partial(defaultdict, list))
for _, all_remarks_job, file_remarks_job in remarks:
merge_file_remarks(file_remarks_job, all_remarks, file_remarks)
all_remarks.update(all_remarks_job)
return all_remarks, file_remarks, max_hotness != 0