/usr/share/pyshared/asrun/mpi.py is in code-aster-run 1.13.1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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# ==============================================================================
# COPYRIGHT (C) 1991 - 2003 EDF R&D WWW.CODE-ASTER.ORG
# THIS PROGRAM IS FREE SOFTWARE; YOU CAN REDISTRIBUTE IT AND/OR MODIFY
# IT UNDER THE TERMS OF THE GNU GENERAL PUBLIC LICENSE AS PUBLISHED BY
# THE FREE SOFTWARE FOUNDATION; EITHER VERSION 2 OF THE LICENSE, OR
# (AT YOUR OPTION) ANY LATER VERSION.
#
# THIS PROGRAM IS DISTRIBUTED IN THE HOPE THAT IT WILL BE USEFUL, BUT
# WITHOUT ANY WARRANTY; WITHOUT EVEN THE IMPLIED WARRANTY OF
# MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. SEE THE GNU
# GENERAL PUBLIC LICENSE FOR MORE DETAILS.
#
# YOU SHOULD HAVE RECEIVED A COPY OF THE GNU GENERAL PUBLIC LICENSE
# ALONG WITH THIS PROGRAM; IF NOT, WRITE TO EDF R&D CODE_ASTER,
# 1 AVENUE DU GENERAL DE GAULLE, 92141 CLAMART CEDEX, FRANCE.
# ==============================================================================
"""
Definition of MPI_INFO class.
Synopsis:
as_run --serv fich.export
V directement (interactif)
ou via sub_script (batch)
as_run fich.export
V
execute.py
V
PrepEnv dans /shared_tmp/interactif.xxx
V
mpirun script.sh -wd /shared_tmp/interactif.xxx
> parallel_cp tracker /shared_tmp/interactif.xxx /local_tmp/interactif.xxx.proc.#i
> cd /local_tmp/interactif.xxx.proc.#i
> ./asteru_mpi args
> if #i == 0:
cp /local_tmp/interactif.xxx.proc.#i/results /shared_tmp/interactif.xxx
"""
import os
import os.path as osp
import re
from asrun.installation import aster_root, datadir
from asrun.common.i18n import _
from asrun.core import magic
from asrun.mystring import ufmt, convert
from asrun.common_func import get_tmpname
from asrun.common.utils import YES_VALUES
class MPI_INFO:
"""Store informations for MPI executions.
"""
def __init__(self, defines=None):
"""Initialization needs "DEFS" field of AsterConfig object.
"""
if defines is not None:
self._use_mpi = '_USE_MPI' in defines
else:
self._use_mpi = False
self._nbnode = 1
self._nbcpu = 1
# directory used to prepare the environment (which will be copied for
# each processor)
self.global_reptrav = ''
# directory used for each execution (local to each processor)
self.local_reptrav = ''
self.timer_comment = _(u"""(*) cpu and system times may be not correctly""" \
""" counted using mpirun.""")
def set_cpuinfo(self, nbnode, nbcpu):
"""Set values of number of processors, of nodes.
"""
iret = 0
try:
self._nbcpu = int(nbcpu or 1)
except ValueError:
iret = 4
self._nbcpu = 1
self._nbcpu = max(self._nbcpu, 1)
try:
self._nbnode = int(nbnode or 1)
except ValueError:
iret = 4
self._nbnode = 1
self._nbnode = max(self._nbnode, 1)
self._nbnode = min(self._nbnode, self._nbcpu)
if not self._use_mpi:
if self._nbnode > 1 or self._nbcpu > 1:
iret = 1
self._nbnode = 1
self._nbcpu = 1
return iret
def really(self):
"""Return True if Code_Aster executions need mpirun."""
return self._use_mpi
def set_rep_trav(self, reptrav, basename=''):
"""Set temporary directory for Code_Aster executions."""
run = magic.run
if reptrav:
self.local_reptrav = self.global_reptrav = reptrav
if self.really():
self.global_reptrav = osp.join(reptrav, 'global')
if not osp.exists(self.global_reptrav):
os.makedirs(self.global_reptrav)
else:
self.local_reptrav = self.global_reptrav = get_tmpname(run, basename=basename)
# used shared directory only if more than one node
if self.really():
# and self.nbnode() > 1: shared_tmp is necessary if submission
# node is not in mpihosts list
# MUST not contain local_reptrav
dirn = get_tmpname(run, run['shared_tmp'], basename)
self.global_reptrav = osp.join(dirn, 'global')
return self.global_reptrav
def build_dict_mpi_args(self):
"""Return dict arguments to build the script."""
run = magic.run
dict_mpi_args = {
'mpirun_cmd' : run['mpirun_cmd'],
'mpi_ini' : run.get('mpi_ini'),
'mpi_end' : run.get('mpi_end'),
'mpi_get_procid_cmd' : run['mpi_get_procid_cmd'],
'mpi_hostfile' : run.get('mpi_hostfile'),
'mpi_nbnoeud' : self.nbnode(),
'mpi_nbcpu' : self.nbcpu(),
'wrkdir' : self.global_reptrav,
'local_wrkdir' : self.local_reptrav,
'num_job' : run['num_job'],
'content_after_msg' : _(u'Content after execution of'),
}
return dict_mpi_args
def get_exec_command(self, cmd_in, add_tee=False, env=None):
"""Return command to run Code_Aster.
"""
run = magic.run
# add source of environments files
if env is not None and self.really():
envstr = [". %s" % f for f in env]
envstr.append(cmd_in)
cmd_in = " ; ".join(envstr)
dict_val = {
'cmd_in' : cmd_in,
'var' : 'EXECUTION_CODE_ASTER_EXIT_%s' % run['num_job'],
}
if add_tee:
cmd_in = """( %(cmd_in)s ; echo %(var)s=$? ) | tee fort.6""" % dict_val
if not self.really():
if add_tee:
cmd_in += """ ; exit `grep -a %(var)s fort.6 | head -1 """ \
"""| sed -e 's/%(var)s=//'`""" % dict_val
return cmd_in
mpi_script = osp.join(self.global_reptrav, 'mpi_script.sh')
if run.get('use_parallel_cp') in YES_VALUES:
cp_cmd = '%s --with-as_run %s %s' \
% (osp.join(aster_root, 'bin', 'codeaster-parallel_cp'),
" ".join(run.get_remote_args()),
self.global_reptrav)
elif self.nbnode() > 1:
cp_cmd = 'scp -r'
else:
cp_cmd = 'cp -r'
dict_mpi_args = {
'cmd_to_run' : cmd_in,
'program' : mpi_script,
'cp_cmd' : cp_cmd,
}
dict_mpi_args.update(self.build_dict_mpi_args())
template = osp.join(datadir, 'mpirun_template')
if not run.Exists(template):
run.Mess(ufmt(_(u'file not found : %s'), template), '<F>_FILE_NOT_FOUND')
content = open(template, 'r').read() % dict_mpi_args
run.DBG(content, all=True)
open(mpi_script, 'w').write(convert(content))
os.chmod(mpi_script, 0755)
# add comment because cpu/system times are not counted by the timer
self._add_timer_comment()
# mpirun/mpiexec
command = dict_mpi_args['mpirun_cmd'] % dict_mpi_args
# need to initialize MPI session ?
if dict_mpi_args['mpi_ini']:
command = dict_mpi_args['mpi_ini'] % dict_mpi_args + " ; " + command
# need to close MPI session ?
if dict_mpi_args['mpi_end']:
command = command + " ; " + dict_mpi_args['mpi_end'] % dict_mpi_args
return command
def nbcpu(self):
"""Return the number of cpu."""
return self._nbcpu
def nbnode(self):
"""Return the number of nodes"""
return self._nbnode
def reptrav(self, procid=None):
"""Return global workdir or local workdir on proc #i.
"""
if procid is None or not self.really():
res = self.global_reptrav
else:
# MUST BE consistant with mpirun_template (even if it's never used !)
res = osp.join(self.local_reptrav, 'proc.%d' % procid)
return res
def add_to_timer(self, text, title):
"""Add info cpus to the timer reading 'text'.
"""
run = magic.run
if not hasattr(run, 'timer') or not self.really():
return
l_info_cpu = re.findall('PROC=([0-9]+) INFO_CPU=(.*)', text)
l_info_cpu.sort()
for procid, infos in l_info_cpu:
cpu_mpi, sys_mpi = 0., 0.
id_timer = _(u' %s - rank #%s') % (title, procid)
run.timer.Stop(id_timer)
try:
l_ch = re.sub(' +', ' ', infos.strip()).split(' ')
assert len(l_ch) == 4, 'cpu+sys, cpu, sys, elapsed'
cpu_mpi = float(l_ch[1])
sys_mpi = float(l_ch[2])
except (AssertionError, TypeError):
run.Mess(_(u'Unable to retreive CPU info for proc #%s') % procid)
run.DBG('Info CPU proc #%s' % procid, infos, l_ch)
run.timer.Add(id_timer, cpu_mpi, sys_mpi)
# add time spend in 'Code_Aster run' and to total
run.timer.Add(title, cpu_mpi, sys_mpi, to_total=True)
def _add_timer_comment(self):
"""Add a warning when mpirun is called without Aster.
"""
run = magic.run
if hasattr(run, 'timer') and self.really():
run.timer.AddComment(self.timer_comment, init=True)
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