3 from __future__ import print_function
5 desc = '''Generate statistics about optimization records from the YAML files
6 generated with -fsave-optimization-record and -fdiagnostics-show-hotness.
8 The tools requires PyYAML and Pygments Python packages.'''
13 from collections import defaultdict
14 from multiprocessing import cpu_count, Pool
20 print("Memory consumption not shown because guppy is not installed")
23 if __name__ == '__main__':
24 parser = argparse.ArgumentParser(description=desc)
28 help='List of optimization record files or directories searched '
29 'for optimization record files.')
35 help='Max job count (defaults to %(default)s, the current CPU count)')
37 '--no-progress-indicator',
41 help='Do not display any indicator of how many YAML files were read.')
42 args = parser.parse_args()
44 print_progress = not args.no_progress_indicator
46 files = optrecord.find_opt_files(*args.yaml_dirs_or_files)
48 parser.error("No *.opt.yaml files found")
51 all_remarks, file_remarks, _ = optrecord.gather_results(
52 files, args.jobs, print_progress)
56 bypass = defaultdict(int)
57 byname = defaultdict(int)
58 for r in optrecord.itervalues(all_remarks):
60 byname[r.Pass + "/" + r.Name] += 1
62 total = len(all_remarks)
63 print("{:24s} {:10d}".format("Total number of remarks", total))
66 print("{:24s} {:10d}".format("Memory per remark",
67 h.size / len(all_remarks)))
70 print("Top 10 remarks by pass:")
71 for (passname, count) in sorted(bypass.items(), key=operator.itemgetter(1),
73 print(" {:30s} {:2.0f}%". format(passname, count * 100. / total))
75 print("\nTop 10 remarks:")
76 for (name, count) in sorted(byname.items(), key=operator.itemgetter(1),
78 print(" {:30s} {:2.0f}%". format(name, count * 100. / total))