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diff --git a/tools/profiling/microbenchmarks/bm_diff/bm_diff.py b/tools/profiling/microbenchmarks/bm_diff/bm_diff.py
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+++ b/tools/profiling/microbenchmarks/bm_diff/bm_diff.py
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+#!/usr/bin/env python2.7
+#
+# Copyright 2017 gRPC authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+""" Computes the diff between two bm runs and outputs significant results """
+
+import bm_constants
+import bm_speedup
+
+import sys
+import os
+
+sys.path.append(os.path.join(os.path.dirname(sys.argv[0]), '..'))
+import bm_json
+
+import json
+import tabulate
+import argparse
+import collections
+import subprocess
+
+verbose = False
+
+
+def _median(ary):
+ assert (len(ary))
+ ary = sorted(ary)
+ n = len(ary)
+ if n % 2 == 0:
+ return (ary[(n - 1) / 2] + ary[(n - 1) / 2 + 1]) / 2.0
+ else:
+ return ary[n / 2]
+
+
+def _args():
+ argp = argparse.ArgumentParser(
+ description='Perform diff on microbenchmarks')
+ argp.add_argument(
+ '-t',
+ '--track',
+ choices=sorted(bm_constants._INTERESTING),
+ nargs='+',
+ default=sorted(bm_constants._INTERESTING),
+ help='Which metrics to track')
+ argp.add_argument(
+ '-b',
+ '--benchmarks',
+ nargs='+',
+ choices=bm_constants._AVAILABLE_BENCHMARK_TESTS,
+ default=bm_constants._AVAILABLE_BENCHMARK_TESTS,
+ help='Which benchmarks to run')
+ argp.add_argument(
+ '-l',
+ '--loops',
+ type=int,
+ default=20,
+ help='Number of times to loops the benchmarks. Must match what was passed to bm_run.py'
+ )
+ argp.add_argument('--counters', dest='counters', action='store_true')
+ argp.add_argument('--no-counters', dest='counters', action='store_false')
+ argp.set_defaults(counters=True)
+ argp.add_argument('-n', '--new', type=str, help='New benchmark name')
+ argp.add_argument('-o', '--old', type=str, help='Old benchmark name')
+ argp.add_argument(
+ '-v', '--verbose', type=bool, help='Print details of before/after')
+ args = argp.parse_args()
+ global verbose
+ if args.verbose: verbose = True
+ assert args.new
+ assert args.old
+ return args
+
+
+def _maybe_print(str):
+ if verbose: print str
+
+
+class Benchmark:
+
+ def __init__(self):
+ self.samples = {
+ True: collections.defaultdict(list),
+ False: collections.defaultdict(list)
+ }
+ self.final = {}
+
+ def add_sample(self, track, data, new):
+ for f in track:
+ if f in data:
+ self.samples[new][f].append(float(data[f]))
+
+ def process(self, track, new_name, old_name):
+ for f in sorted(track):
+ new = self.samples[True][f]
+ old = self.samples[False][f]
+ if not new or not old: continue
+ mdn_diff = abs(_median(new) - _median(old))
+ _maybe_print('%s: %s=%r %s=%r mdn_diff=%r' %
+ (f, new_name, new, old_name, old, mdn_diff))
+ s = bm_speedup.speedup(new, old, 1e-5)
+ if abs(s) > 3:
+ if mdn_diff > 0.5 or 'trickle' in f:
+ self.final[f] = '%+d%%' % s
+ return self.final.keys()
+
+ def skip(self):
+ return not self.final
+
+ def row(self, flds):
+ return [self.final[f] if f in self.final else '' for f in flds]
+
+
+def _read_json(filename, badjson_files, nonexistant_files):
+ stripped = ".".join(filename.split(".")[:-2])
+ try:
+ with open(filename) as f:
+ r = f.read();
+ return json.loads(r)
+ except IOError, e:
+ if stripped in nonexistant_files:
+ nonexistant_files[stripped] += 1
+ else:
+ nonexistant_files[stripped] = 1
+ return None
+ except ValueError, e:
+ print r
+ if stripped in badjson_files:
+ badjson_files[stripped] += 1
+ else:
+ badjson_files[stripped] = 1
+ return None
+
+def fmt_dict(d):
+ return ''.join([" " + k + ": " + str(d[k]) + "\n" for k in d])
+
+def diff(bms, loops, track, old, new, counters):
+ benchmarks = collections.defaultdict(Benchmark)
+
+ badjson_files = {}
+ nonexistant_files = {}
+ for bm in bms:
+ for loop in range(0, loops):
+ for line in subprocess.check_output(
+ ['bm_diff_%s/opt/%s' % (old, bm),
+ '--benchmark_list_tests']).splitlines():
+ stripped_line = line.strip().replace("/", "_").replace(
+ "<", "_").replace(">", "_").replace(", ", "_")
+ js_new_opt = _read_json('%s.%s.opt.%s.%d.json' %
+ (bm, stripped_line, new, loop),
+ badjson_files, nonexistant_files)
+ js_old_opt = _read_json('%s.%s.opt.%s.%d.json' %
+ (bm, stripped_line, old, loop),
+ badjson_files, nonexistant_files)
+ if counters:
+ js_new_ctr = _read_json('%s.%s.counters.%s.%d.json' %
+ (bm, stripped_line, new, loop),
+ badjson_files, nonexistant_files)
+ js_old_ctr = _read_json('%s.%s.counters.%s.%d.json' %
+ (bm, stripped_line, old, loop),
+ badjson_files, nonexistant_files)
+ else:
+ js_new_ctr = None
+ js_old_ctr = None
+
+ for row in bm_json.expand_json(js_new_ctr, js_new_opt):
+ name = row['cpp_name']
+ if name.endswith('_mean') or name.endswith('_stddev'):
+ continue
+ benchmarks[name].add_sample(track, row, True)
+ for row in bm_json.expand_json(js_old_ctr, js_old_opt):
+ name = row['cpp_name']
+ if name.endswith('_mean') or name.endswith('_stddev'):
+ continue
+ benchmarks[name].add_sample(track, row, False)
+
+ really_interesting = set()
+ for name, bm in benchmarks.items():
+ _maybe_print(name)
+ really_interesting.update(bm.process(track, new, old))
+ fields = [f for f in track if f in really_interesting]
+
+ headers = ['Benchmark'] + fields
+ rows = []
+ for name in sorted(benchmarks.keys()):
+ if benchmarks[name].skip(): continue
+ rows.append([name] + benchmarks[name].row(fields))
+ note = None
+ if len(badjson_files):
+ note = 'Corrupt JSON data (indicates timeout or crash): \n%s' % fmt_dict(badjson_files)
+ if len(nonexistant_files):
+ if note:
+ note += '\n\nMissing files (indicates new benchmark): \n%s' % fmt_dict(nonexistant_files)
+ else:
+ note = '\n\nMissing files (indicates new benchmark): \n%s' % fmt_dict(nonexistant_files)
+ if rows:
+ return tabulate.tabulate(rows, headers=headers, floatfmt='+.2f'), note
+ else:
+ return None, note
+
+
+if __name__ == '__main__':
+ args = _args()
+ diff, note = diff(args.benchmarks, args.loops, args.track, args.old,
+ args.new, args.counters)
+ print('%s\n%s' % (note, diff if diff else "No performance differences"))