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57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
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#!/usr/bin/env python2.7
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from __future__ import print_function
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desc = '''Generate statistics about optimization records from the YAML files
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generated with -fsave-optimization-record and -fdiagnostics-show-hotness.
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The tools requires PyYAML and Pygments Python packages.'''
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import optrecord
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import argparse
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import operator
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from collections import defaultdict
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from multiprocessing import cpu_count, Pool
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description=desc)
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parser.add_argument('yaml_files', nargs='+')
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parser.add_argument(
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'--jobs',
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'-j',
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default=cpu_count(),
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type=int,
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help='Max job count (defaults to current CPU count)')
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args = parser.parse_args()
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if len(args.yaml_files) == 0:
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parser.print_help()
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sys.exit(1)
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if args.jobs == 1:
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pmap = map
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else:
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pool = Pool(processes=args.jobs)
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pmap = pool.map
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all_remarks, file_remarks, _ = optrecord.gather_results(pmap, args.yaml_files)
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bypass = defaultdict(int)
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byname = defaultdict(int)
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for r in all_remarks.itervalues():
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bypass[r.Pass] += 1
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byname[r.Pass + "/" + r.Name] += 1
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total = len(all_remarks)
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print("{:24s} {:10d}\n".format("Total number of remarks", total))
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print("Top 10 remarks by pass:")
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for (passname, count) in sorted(bypass.items(), key=operator.itemgetter(1),
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reverse=True)[:10]:
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print(" {:30s} {:2.0f}%". format(passname, count * 100. / total))
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print("\nTop 10 remarks:")
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for (name, count) in sorted(byname.items(), key=operator.itemgetter(1),
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reverse=True)[:10]:
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print(" {:30s} {:2.0f}%". format(name, count * 100. / total))
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