cudaPreallocate.py

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#!/usr/bin/env python
 
from __future__ import print_function
import re
import sys
import argparse
 
def main(opts):
    device = []
    host = []
 
    device_re = re.compile("Device.*allocated new device block.*\((?P<bytes>\d+) bytes")
    host_re = re.compile("Host.*allocated new host block.*\((?P<bytes>\d+) bytes")
 
    f = open(opts.file)
    for line in f:
        m = device_re.search(line)
        if m:
            device.append(m.group("bytes"))
            continue
        m = host_re.search(line)
        if m:
            host.append(m.group("bytes"))
    f.close()
 
    print("process.CUDAService.allocator.devicePreallocate = cms.untracked.vuint32(%s)" % ",".join(device))
    print("process.CUDAService.allocator.hostPreallocate = cms.untracked.vuint32(%s)" % ",".join(host))
 
if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="""Extract CUDAService preallocation parameters from a log file.
 
To use, run the job once with "process.CUDAService.allocator.debug =
True" and direct the output to a file. Then run this script by passing
the file as an argument, and copy the output of this script back to
the configuration file.""")
    parser.add_argument("file", type=str, help="Log file to parse")
    opts = parser.parse_args()
    main(opts)