tools/opt-viewer/opt-stats.py

   1 #!/usr/bin/env python
   2
   3 from __future__ import print_function
   4
   5 desc = '''Generate statistics about optimization records from the YAML files
   6 generated with -fsave-optimization-record and -fdiagnostics-show-hotness.
   7
   8 The tools requires PyYAML and Pygments Python packages.'''
   9
  10 import optrecord
  11 import argparse
  12 import operator
  13 from collections import defaultdict
  14 from multiprocessing import cpu_count, Pool
  15
  16 try:
  17     from guppy import hpy
  18     hp = hpy()
  19 except ImportError:
  20     print("Memory consumption not shown because guppy is not installed")
  21     hp = None
  22
  23 if __name__ == '__main__':
  24     parser = argparse.ArgumentParser(description=desc)
  25     parser.add_argument(
  26         'yaml_dirs_or_files',
  27         nargs='+',
  28         help='List of optimization record files or directories searched '
  29              'for optimization record files.')
  30     parser.add_argument(
  31         '--jobs',
  32         '-j',
  33         default=None,
  34         type=int,
  35         help='Max job count (defaults to %(default)s, the current CPU count)')
  36     parser.add_argument(
  37         '--no-progress-indicator',
  38         '-n',
  39         action='store_true',
  40         default=False,
  41         help='Do not display any indicator of how many YAML files were read.')
  42     args = parser.parse_args()
  43
  44     print_progress = not args.no_progress_indicator
  45
  46     files = optrecord.find_opt_files(*args.yaml_dirs_or_files)
  47     if not files:
  48         parser.error("No *.opt.yaml files found")
  49         sys.exit(1)
  50
  51     all_remarks, file_remarks, _ = optrecord.gather_results(
  52         files, args.jobs, print_progress)
  53     if print_progress:
  54         print('\n')
  55
  56     bypass = defaultdict(int)
  57     byname = defaultdict(int)
  58     for r in optrecord.itervalues(all_remarks):
  59         bypass[r.Pass] += 1
  60         byname[r.Pass + "/" + r.Name] += 1
  61
  62     total = len(all_remarks)
  63     print("{:24s} {:10d}".format("Total number of remarks", total))
  64     if hp:
  65         h = hp.heap()
  66         print("{:24s} {:10d}".format("Memory per remark",
  67                                      h.size / len(all_remarks)))
  68     print('\n')
  69
  70     print("Top 10 remarks by pass:")
  71     for (passname, count) in sorted(bypass.items(), key=operator.itemgetter(1),
  72                                     reverse=True)[:10]:
  73         print("  {:30s} {:2.0f}%". format(passname, count * 100. / total))
  74
  75     print("\nTop 10 remarks:")
  76     for (name, count) in sorted(byname.items(), key=operator.itemgetter(1),
  77                                 reverse=True)[:10]:
  78         print("  {:30s} {:2.0f}%". format(name, count * 100. / total))