1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
| #!/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. / 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. / total))
|