__copyright__ = """
Copyright (C) 2017 Ellis Hoag
Copyright (C) 2017 Andreas Kloeckner
Copyright (C) 2021 University of Illinois Board of Trustees
"""
__license__ = """
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
"""
import pytest
import os
import numpy as np
import pyopencl as cl
import logging
from arraycontext.impl.pyopencl import PyOpenCLArrayContext
from arraycontext.container.traversal import thaw
logger = logging.getLogger(__name__)
logging.basicConfig()
logger.setLevel(logging.INFO)
from grudge import DiscretizationCollection
from grudge.shortcuts import set_up_rk4
from meshmode.dof_array import flat_norm
from pytools.obj_array import flat_obj_array
import grudge.op as op
def simple_mpi_communication_entrypoint():
cl_ctx = cl.create_some_context()
queue = cl.CommandQueue(cl_ctx)
actx = PyOpenCLArrayContext(queue)
from meshmode.distributed import MPIMeshDistributor, get_partition_by_pymetis
from meshmode.mesh import BTAG_ALL
from mpi4py import MPI
comm = MPI.COMM_WORLD
num_parts = comm.Get_size()
mesh_dist = MPIMeshDistributor(comm)
if mesh_dist.is_mananger_rank():
from meshmode.mesh.generation import generate_regular_rect_mesh
mesh = generate_regular_rect_mesh(a=(-1,)*2,
b=(1,)*2,
nelements_per_axis=(2,)*2)
part_per_element = get_partition_by_pymetis(mesh, num_parts)
local_mesh = mesh_dist.send_mesh_parts(mesh, part_per_element, num_parts)
else:
local_mesh = mesh_dist.receive_mesh_part()
dcoll = DiscretizationCollection(actx, local_mesh, order=5,
mpi_communicator=comm)
x = thaw(dcoll.nodes(), actx)
myfunc = actx.np.sin(np.dot(x, [2, 3]))
from grudge.dof_desc import as_dofdesc
dd_int = as_dofdesc("int_faces")
dd_vol = as_dofdesc("vol")
dd_af = as_dofdesc("all_faces")
all_faces_func = op.project(dcoll, dd_vol, dd_af, myfunc)
int_faces_func = op.project(dcoll, dd_vol, dd_int, myfunc)
bdry_faces_func = op.project(dcoll, BTAG_ALL, dd_af,
op.project(dcoll, dd_vol, BTAG_ALL, myfunc))
hopefully_zero = (
op.project(
dcoll, "int_faces", "all_faces",
dcoll.opposite_face_connection()(int_faces_func)
)
+ sum(op.project(dcoll, tpair.dd, "all_faces", tpair.int)
for tpair in op.cross_rank_trace_pairs(dcoll, myfunc))
) - (all_faces_func - bdry_faces_func)
error = flat_norm(hopefully_zero, ord=np.inf)
print(__file__)
with np.printoptions(threshold=100000000, suppress=True):
logger.debug(hopefully_zero)
logger.info("error: %.5e", error)
assert error < 1e-14
def mpi_communication_entrypoint():
cl_ctx = cl.create_some_context()
queue = cl.CommandQueue(cl_ctx)
actx = PyOpenCLArrayContext(queue)
from mpi4py import MPI
comm = MPI.COMM_WORLD
i_local_rank = comm.Get_rank()
num_parts = comm.Get_size()
from meshmode.distributed import MPIMeshDistributor, get_partition_by_pymetis
mesh_dist = MPIMeshDistributor(comm)
dim = 2
order = 4
if mesh_dist.is_mananger_rank():
from meshmode.mesh.generation import generate_regular_rect_mesh
mesh = generate_regular_rect_mesh(a=(-0.5,)*dim,
b=(0.5,)*dim,
nelements_per_axis=(16,)*dim)
part_per_element = get_partition_by_pymetis(mesh, num_parts)
local_mesh = mesh_dist.send_mesh_parts(mesh, part_per_element, num_parts)
del mesh
else:
local_mesh = mesh_dist.receive_mesh_part()
dcoll = DiscretizationCollection(actx, local_mesh, order=order,
mpi_communicator=comm)
def source_f(actx, dcoll, t=0):
source_center = np.array([0.1, 0.22, 0.33])[:dcoll.dim]
source_width = 0.05
source_omega = 3
nodes = thaw(dcoll.nodes(), actx)
source_center_dist = flat_obj_array(
[nodes[i] - source_center[i] for i in range(dcoll.dim)]
)
return (
np.sin(source_omega*t)
* actx.np.exp(
-np.dot(source_center_dist, source_center_dist)
/ source_width**2
)
)
from grudge.models.wave import WeakWaveOperator
from meshmode.mesh import BTAG_ALL, BTAG_NONE
wave_op = WeakWaveOperator(
dcoll,
0.1,
source_f=source_f,
dirichlet_tag=BTAG_NONE,
neumann_tag=BTAG_NONE,
radiation_tag=BTAG_ALL,
flux_type="upwind"
)
fields = flat_obj_array(
dcoll.zeros(actx),
[dcoll.zeros(actx) for i in range(dcoll.dim)]
)
dt_scaling_const = 2/3
dt = dt_scaling_const * wave_op.estimate_rk4_timestep(dcoll, fields=fields)
wave_op.check_bc_coverage(local_mesh)
from logpyle import LogManager, \
add_general_quantities, \
add_run_info
log_filename = None
# NOTE: LogManager hangs when using a file on a shared directory.
# log_filename = "grudge_log.dat"
logmgr = LogManager(log_filename, "w", comm)
add_run_info(logmgr)
add_general_quantities(logmgr)
def rhs(t, w):
return wave_op.operator(t, w)
dt_stepper = set_up_rk4("w", dt, fields, rhs)
final_t = 4
nsteps = int(final_t/dt)
logger.info("[%04d] dt %.5e nsteps %4d", i_local_rank, dt, nsteps)
step = 0
def norm(u):
return op.norm(dcoll, u, 2)
from time import time
t_last_step = time()
logmgr.tick_before()
for event in dt_stepper.run(t_end=final_t):
if isinstance(event, dt_stepper.StateComputed):
assert event.component_id == "w"
step += 1
logger.info("[%04d] t = %.5e |u| = %.5e ellapsed %.5e",
step, event.t,
norm(u=event.state_component[0]),
time() - t_last_step)
t_last_step = time()
logmgr.tick_after()
logmgr.tick_before()
logmgr.tick_after()
logmgr.close()
logger.info("Rank %d exiting", i_local_rank)
# {{{ MPI test pytest entrypoint
@pytest.mark.mpi
@pytest.mark.parametrize("num_ranks", [2])
def test_mpi(num_ranks):
pytest.importorskip("mpi4py")
pytest.importorskip("pymetis")
from subprocess import check_call
import sys
# NOTE: CI uses OpenMPI; -x to pass env vars. MPICH uses -env
check_call([
"mpiexec", "-np", str(num_ranks),
"-x", "RUN_WITHIN_MPI=1",
"-x", "TEST_MPI_COMMUNICATION=1",
sys.executable, __file__])
@pytest.mark.mpi
@pytest.mark.parametrize("num_ranks", [2])
def test_simple_mpi(num_ranks):
pytest.importorskip("mpi4py")
pytest.importorskip("pymetis")
from subprocess import check_call
import sys
# NOTE: CI uses OpenMPI; -x to pass env vars. MPICH uses -env
check_call([
"mpiexec", "-np", str(num_ranks),
"-x", "RUN_WITHIN_MPI=1",
"-x", "TEST_SIMPLE_MPI_COMMUNICATION=1",
# https://mpi4py.readthedocs.io/en/stable/mpi4py.run.html
sys.executable, "-m", "mpi4py.run", __file__])
# }}}
if __name__ == "__main__":
if "RUN_WITHIN_MPI" in os.environ:
if "TEST_MPI_COMMUNICATION" in os.environ:
mpi_communication_entrypoint()
elif "TEST_SIMPLE_MPI_COMMUNICATION" in os.environ:
simple_mpi_communication_entrypoint()
else:
import sys
if len(sys.argv) > 1:
exec(sys.argv[1])
else:
from pytest import main
main([__file__])
# vim: fdm=marker