def main():
# if multi_mpi.cpu_count() < 2:
# raise ValueError('MPI mode - the number of nodes is less then 2!')
if multi_mpi.mpi_rank == multi_mpi.mpi_master:
# MPI master node - solve problem at macro scale
parser = ArgumentParser(description=__doc__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument('--debug',
action='store_true',
dest='debug',
default=False,
help=helps['debug'])
parser.add_argument('--debug_mpi',
action='store_true',
dest='debug_mpi',
default=False,
help=helps['debug_mpi'])
parser.add_argument('-c',
'--conf',
metavar='"key : value, ..."',
action='store',
dest='conf',
type=str,
default=None,
help=helps['conf'])
parser.add_argument('-O',
'--options',
metavar='"key : value, ..."',
action='store',
dest='app_options',
type=str,
default=None,
help=helps['options'])
parser.add_argument('-d',
'--define',
metavar='"key : value, ..."',
action='store',
dest='define_args',
type=str,
default=None,
help=helps['define'])
parser.add_argument('-o',
metavar='filename',
action='store',
dest='output_filename_trunk',
default=None,
help=helps['filename'])
parser.add_argument('--format',
metavar='format',
action='store',
dest='output_format',
default=None,
help=helps['output_format'])
parser.add_argument('--log',
metavar='file',
action='store',
dest='log',
default=None,
help=helps['log'])
parser.add_argument('-q',
'--quiet',
action='store_true',
dest='quiet',
default=False,
help=helps['quiet'])
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument('filename_in', nargs='?')
options = parser.parse_args()
for k in [
'save_ebc', 'save_ebc_nodes', 'save_regions',
'save_regions_as_groups', 'save_field_meshes', 'solve_not'
]:
setattr(options, k, False)
if options.debug:
from sfepy.base.base import debug_on_error
debug_on_error()
if options.debug_mpi:
multi_mpi.set_logging_level('debug')
filename_in = options.filename_in
output.set_output(filename=options.log,
quiet=options.quiet,
combined=options.log is not None)
required, other = get_standard_keywords()
conf = ProblemConf.from_file_and_options(
filename_in,
options,
required,
other,
define_args=options.define_args)
opts = conf.options
nslaves = multi_mpi.cpu_count() - 1
opts.n_mpi_homog_slaves = nslaves
output_prefix = opts.get('output_prefix', 'sfepy:')
app = PDESolverApp(conf, options, output_prefix)
if hasattr(opts, 'parametric_hook'): # Parametric study.
parametric_hook = conf.get_function(opts.parametric_hook)
app.parametrize(parametric_hook)
app()
multi_mpi.master_send_task('finalize', None)
else:
# MPI slave mode - calculate homogenized coefficients
homogen_app = None
done = False
rank = multi_mpi.mpi_rank
while not done:
task, data = multi_mpi.slave_get_task('main slave loop')
if task == 'init': # data: micro_file, n_micro
output.set_output(filename='homog_app_mpi_%d.log' % rank,
quiet=True)
micro_file, n_micro = data[:2]
required, other = get_standard_keywords()
required.remove('equations')
conf = ProblemConf.from_file(micro_file,
required,
other,
verbose=False)
options = Struct(output_filename_trunk=None)
homogen_app = HomogenizationApp(conf,
options,
'micro:',
n_micro=n_micro)
elif task == 'calculate': # data: rel_def_grad, ts, iteration
macro_data, ts, iteration = data[:3]
homogen_app.setup_macro_data(macro_data)
homogen_app(ret_all=True, itime=ts.step, iiter=iteration)
elif task == 'finalize':
done = True
def get_homog_coefs_nonlinear(ts,
coor,
mode,
macro_data=None,
term=None,
problem=None,
iteration=None,
define_args=None,
**kwargs):
if not (mode == 'qp'):
return
oprefix = output.prefix
output.prefix = 'micro:'
if not hasattr(problem, 'homogen_app'):
required, other = get_standard_keywords()
required.remove('equations')
micro_file = problem.conf.options.micro_filename
conf = ProblemConf.from_file(micro_file,
required,
other,
verbose=False,
define_args=define_args)
options = Struct(output_filename_trunk=None)
app = HomogenizationApp(conf, options, 'micro:', n_micro=coor.shape[0])
problem.homogen_app = app
if hasattr(app.app_options, 'use_mpi') and app.app_options.use_mpi:
multiproc, multiproc_mode = multi.get_multiproc(mpi=True)
multi_mpi = multiproc if multiproc_mode == 'mpi' else None
else:
multi_mpi = None
app.multi_mpi = multi_mpi
if multi_mpi is not None:
multi_mpi.master_send_task('init', (micro_file, coor.shape[0]))
else:
app = problem.homogen_app
multi_mpi = app.multi_mpi
if macro_data is not None:
macro_data['macro_time_step'] = ts.step
app.setup_macro_data(macro_data)
if multi_mpi is not None:
multi_mpi.master_send_task('calculate', (macro_data, ts, iteration))
coefs, deps = app(ret_all=True, itime=ts.step, iiter=iteration)
if type(coefs) is tuple:
coefs = coefs[0]
out = {}
for key, val in six.iteritems(coefs.__dict__):
if isinstance(val, list):
out[key] = nm.array(val)
elif isinstance(val, dict):
for key2, val2 in six.iteritems(val):
out[key + '_' + key2] = nm.array(val2)
for key in six.iterkeys(out):
shape = out[key].shape
if len(shape) == 1:
out[key] = out[key].reshape(shape + (1, 1))
elif len(shape) == 2:
out[key] = out[key].reshape(shape + (1, ))
output.prefix = oprefix
return out
