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b71edfaa4e
This is the first commit in a series that will reformat all the python files in the LLVM repository. Reformatting is done with `black`. See more information here: https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style Reviewed By: jhenderson, JDevlieghere, MatzeB Differential Revision: https://reviews.llvm.org/D150545
85 lines
2.4 KiB
Python
Executable File
85 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python
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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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try:
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from guppy import hpy
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hp = hpy()
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except ImportError:
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print("Memory consumption not shown because guppy is not installed")
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hp = None
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description=desc)
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parser.add_argument(
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"yaml_dirs_or_files",
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nargs="+",
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help="List of optimization record files or directories searched "
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"for optimization record files.",
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)
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parser.add_argument(
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"--jobs",
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"-j",
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default=None,
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type=int,
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help="Max job count (defaults to %(default)s, the current CPU count)",
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)
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parser.add_argument(
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"--no-progress-indicator",
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"-n",
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action="store_true",
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default=False,
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help="Do not display any indicator of how many YAML files were read.",
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)
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args = parser.parse_args()
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print_progress = not args.no_progress_indicator
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files = optrecord.find_opt_files(*args.yaml_dirs_or_files)
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if not files:
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parser.error("No *.opt.yaml files found")
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sys.exit(1)
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all_remarks, file_remarks, _ = optrecord.gather_results(
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files, args.jobs, print_progress
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)
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if print_progress:
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print("\n")
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bypass = defaultdict(int)
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byname = defaultdict(int)
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for r in optrecord.itervalues(all_remarks):
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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}".format("Total number of remarks", total))
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if hp:
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h = hp.heap()
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print("{:24s} {:10d}".format("Memory per remark", h.size / len(all_remarks)))
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print("\n")
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print("Top 10 remarks by pass:")
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for (passname, count) in sorted(
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bypass.items(), key=operator.itemgetter(1), reverse=True
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)[:10]:
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print(" {:30s} {:2.0f}%".format(passname, count * 100.0 / total))
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print("\nTop 10 remarks:")
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for (name, count) in sorted(
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byname.items(), key=operator.itemgetter(1), reverse=True
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)[:10]:
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print(" {:30s} {:2.0f}%".format(name, count * 100.0 / total))
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