文件
gprMax/gprMax/gprMax.py
2020-03-06 16:48:21 +00:00

183 行
7.3 KiB
Python

# Copyright (C) 2015-2020: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax 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 3 of the License, or
# (at your option) any later version.
#
# gprMax 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 gprMax. If not, see <http://www.gnu.org/licenses/>.
import argparse
import logging
from .config_parser import write_simulation_config
from .contexts import create_context
from .utilities import setup_logging
logger = logging.getLogger(__name__)
def run(
scenes=None,
inputfile=None,
outputfile=None,
n=1,
task=None,
restart=None,
mpi=False,
gpu=None,
subgrid=None,
autotranslate=False,
geometry_only=False,
geometry_fixed=False,
write_processed=False,
):
"""This is the main function for gprMax when entering using application
programming interface (API). Run the simulation for the
given list of scenes.
:param scenes: list of the scenes to run the model. Multiple scene objects
can given in order to run multiple simulation runs. Each
scene must contain the essential simulation objects
:type scenes: list, optional
:param inputfile: input file path. Can also run simulation by providing an
input file.
:type inputfile: str, optional
:param outputfile: file path to the output data file.
:type outputfile: str, non-optional
:param n: number of required simulation runs.
:type n: int, non-optional
:param task: task identifier (model number) when running simulation as a
job array on open grid scheduler/grid engine. For further
details see the parallel performance section of the User Guide.
:type task: int, optional
:param restart: model number to start/restart simulation from. It would
typically be used to restart a series of models from a
specific model number, with the n argument, e.g. to restart
from A-scan 45 when creating a B-scan with 60 traces.
:type restart: int, optional
:param mpi: flag to use Message Passing Interface (MPI) task farm. This
option is most usefully combined with n to allow individual
models to be farmed out using a MPI task farm, e.g. to create a
B-scan with 60 traces and use MPI to farm out each trace.
For further details see the parallel performance section of the
User Guide.
:type mpi: bool, optional
:param gpu: flag to use NVIDIA GPU or list of NVIDIA GPU device ID(s) for
specific GPU card(s).
:type gpu: list or bool, optional
:param subgrid: flag to use sub-gridding.
:type subgrid: bool, optional
:param autotranslate: for sub-gridding - auto translate objects with main grid
coordinates to their equivalent local grid coordinate
within the subgrid. If this option is off users must
specify sub-grid object point within the global
subgrid space.
:type autotranslate: bool, optional
:param geometry_only: build a model and produce any geometry views but do
not run the simulation.
:type geometry_only: bool, optional
:param geometry_fixed: run a series of models where the geometry does not
change between models.
:type geometry_fixed: bool, optional
:param write_processed: write another input file after any Python code and
in the original input file has been processed.
:type write_processed: bool, optional
"""
class ImportArguments:
pass
args = ImportArguments()
args.scenes = scenes
args.inputfile = inputfile
args.outputfile = outputfile
args.n = n
args.task = task
args.restart = restart
args.mpi = mpi
args.gpu = gpu
args.subgrid = subgrid
args.autotranslate = autotranslate
args.geometry_only = geometry_only
args.geometry_fixed = geometry_fixed
args.write_processed = write_processed
try:
run_main(args)
except Exception:
logger.exception('Error from main API function', exc_info=True)
def main():
"""Main function for gprMax when entering using the command line interface (CLI)."""
# Parse command line arguments
parser = argparse.ArgumentParser(prog='gprMax', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('inputfile',
help='relative or absolute path to inputfile')
parser.add_argument('-n', default=1, type=int,
help='number of times to run the input file, e.g. to create a B-scan')
parser.add_argument('-task', type=int,
help='task identifier (model number) for job array on '
'Open Grid Scheduler/Grid Engine (http://gridscheduler.sourceforge.net/index.html)')
parser.add_argument('-r', '--restart', type=int,
help='model number to restart from, e.g. when creating B-scan')
parser.add_argument('-mpi', action='store_true', default=False,
help='flag to enable MPI task farming')
parser.add_argument('-gpu', type=int, action='append', nargs='*',
help='flag to use Nvidia GPU or option to give list of device ID(s)')
parser.add_argument('--geometry-only', action='store_true', default=False,
help='flag to only build model and produce geometry file(s)')
parser.add_argument('--geometry-fixed', action='store_true', default=False,
help='flag to not reprocess model geometry, e.g. for B-scans where the geometry is fixed')
parser.add_argument('--write-processed', action='store_true', default=False,
help='flag to write an input file after any Python code and include commands '
'in the original input file have been processed')
parser.add_argument('-l', '--logfile', action='store_true', default=False,
help='flag to enable writing to a log file')
parser.add_argument('-v', '--verbose', action='store_true', default=False,
help="flag to increase output")
args = parser.parse_args()
setup_logging()
try:
run_main(args)
except Exception:
logger.exception('Error from main CLI function', exc_info=True)
def run_main(args):
"""Called by either run (API) or main (CLI).
Args:
args (Namespace): arguments from either API or CLI.
"""
write_simulation_config(args)
context = create_context()
context.run()