TheRock/compiler/amd-llvm/llvm/tools/opt-viewer/opt-stats.py

#!/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))