diff options
Diffstat (limited to 'clang-r353983/share/opt-viewer/opt-stats.py')
| -rwxr-xr-x | clang-r353983/share/opt-viewer/opt-stats.py | 78 |
1 files changed, 78 insertions, 0 deletions
diff --git a/clang-r353983/share/opt-viewer/opt-stats.py b/clang-r353983/share/opt-viewer/opt-stats.py new file mode 100755 index 00000000..f4ee3a7d --- /dev/null +++ b/clang-r353983/share/opt-viewer/opt-stats.py @@ -0,0 +1,78 @@ +#!/usr/bin/env python + +from __future__ import print_function + +desc = '''Generate statistics about optimization records from the YAML files +generated with -fsave-optimization-record and -fdiagnostics-show-hotness. + +The tools requires PyYAML and Pygments Python packages.''' + +import optrecord +import argparse +import operator +from collections import defaultdict +from multiprocessing import cpu_count, Pool + +try: + from guppy import hpy + hp = hpy() +except ImportError: + print("Memory consumption not shown because guppy is not installed") + hp = None + +if __name__ == '__main__': + parser = argparse.ArgumentParser(description=desc) + parser.add_argument( + 'yaml_dirs_or_files', + nargs='+', + help='List of optimization record files or directories searched ' + 'for optimization record files.') + parser.add_argument( + '--jobs', + '-j', + default=None, + type=int, + help='Max job count (defaults to %(default)s, the current CPU count)') + parser.add_argument( + '--no-progress-indicator', + '-n', + action='store_true', + default=False, + help='Do not display any indicator of how many YAML files were read.') + args = parser.parse_args() + + print_progress = not args.no_progress_indicator + + files = optrecord.find_opt_files(*args.yaml_dirs_or_files) + if not files: + parser.error("No *.opt.yaml files found") + sys.exit(1) + + all_remarks, file_remarks, _ = optrecord.gather_results( + files, args.jobs, print_progress) + if print_progress: + print('\n') + + bypass = defaultdict(int) + byname = defaultdict(int) + for r in optrecord.itervalues(all_remarks): + bypass[r.Pass] += 1 + byname[r.Pass + "/" + r.Name] += 1 + + total = len(all_remarks) + print("{:24s} {:10d}".format("Total number of remarks", total)) + if hp: + h = hp.heap() + print("{:24s} {:10d}".format("Memory per remark", + h.size / len(all_remarks))) + print('\n') + + print("Top 10 remarks by pass:") + for (passname, count) in sorted(bypass.items(), key=operator.itemgetter(1), + reverse=True)[:10]: + print(" {:30s} {:2.0f}%". format(passname, count * 100. / total)) + + print("\nTop 10 remarks:") + for (name, count) in sorted(byname.items(), key=operator.itemgetter(1), + reverse=True)[:10]: + print(" {:30s} {:2.0f}%". format(name, count * 100. / total)) |
