File: llvm-openmp-analyzer

package info (click to toggle)
llvm-toolchain-15 1%3A15.0.6-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 1,554,644 kB
  • sloc: cpp: 5,922,452; ansic: 1,012,136; asm: 674,362; python: 191,568; objc: 73,855; f90: 42,327; lisp: 31,913; pascal: 11,973; javascript: 10,144; sh: 9,421; perl: 7,447; ml: 5,527; awk: 3,523; makefile: 2,520; xml: 885; cs: 573; fortran: 567
file content (45 lines) | stat: -rwxr-xr-x 1,640 bytes parent folder | download | duplicates (7)
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
#!/usr/bin/env python

"""
A wrapper for Clang specialized for gathering information about OpenMP programs.
Simple replace calls to clang or clang++ with llvm-openmp-analyzer to run the
analysis passes.
"""

import argparse
import subprocess
import yaml # PyYaml to save and load analysis information
import sys
import io

from analyzer import getKernelUsage

desc = '''A wrapper around clang that runs OpenMP Analysis passes and gathers
information about OpenMP programs.'''

default_args = ["-fopenmp", "-Rpass=openmp-opt", "-Rpass-missed=openmp-opt", "-Rpass-analysis=openmp-opt"]

def main():
    compiler = ["clang++"] if sys.argv[0].endswith('++') else ["clang"]
    parser = argparse.ArgumentParser(description=desc)
    parser.add_argument('--usage-report-file',
            metavar='filename',
            default='usage.yaml',
            help='Filename used for the OpenMP kernel usage reports in YAML format. "usage.yaml" by default.')
    parser.add_argument('--no-usage-report', 
            action='store_true',
            default=False, 
            help='Do not general a usage report for the OpenMP kernels.')
    args, clang_args = parser.parse_known_args()

    subprocess.run(compiler + default_args + clang_args, check=True)
    output = subprocess.run(compiler + default_args + clang_args + ["-v"], stderr=subprocess.PIPE)
    stderr = output.stderr.decode('utf-8')

    if not args.no_usage_report:
        usage = getKernelUsage(stderr, fname=args.usage_report_file)
        with io.open(args.usage_report_file, 'w', encoding = 'utf-8') as f:
            yaml.dump(usage, f)

if __name__ == '__main__':
    main()