| #!/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 * 100.0 / 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 * 100.0 / total)) |