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Rework MPI tests
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inducer committed May 28, 2014
1 parent 7997cbb commit 72c2f76
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Showing 3 changed files with 146 additions and 132 deletions.
5 changes: 3 additions & 2 deletions hedge/mesh/generator.py
Expand Up @@ -672,13 +672,14 @@ def count(iterable):
axes = ["x", "y", "z"]

per_count = count(p for p in periodicity if p)
mesh_info.pbc_groups.resize(per_count)
pbc_group_number = 0

marker_to_tag = {}
mesh_periodicity = []
periodic_tags = set()

if per_count:
mesh_info.pbc_groups.resize(per_count)
pbc_group_number = 0
for axis, axis_per in enumerate(periodicity):
minus_marker = 1+2*axis
plus_marker = 2+2*axis
Expand Down
13 changes: 8 additions & 5 deletions test/test_basics.py
Expand Up @@ -18,13 +18,17 @@
from __future__ import division




import numpy
import numpy.linalg as la
import pytools.test


try:
import faulthandler
except ImportError:
pass
else:
faulthandler.enable()


def test_simp_orthogonality():
Expand Down Expand Up @@ -856,6 +860,8 @@ def test_all_periodic_no_boundary():
"""Test that an all-periodic brick has no boundary."""
from hedge.mesh import TAG_ALL
from hedge.mesh.generator import make_box_mesh
import pytest
pytest.skip("periodicity not currently supported")

mesh = make_box_mesh(periodicity=(True,True,True))

Expand Down Expand Up @@ -915,13 +921,10 @@ def test_identify_affine_map():
assert la.norm(b-amap2.vector) < 1e-12



# main program ----------------------------------------------------------------
if __name__ == "__main__":
import sys
if len(sys.argv) > 1:
exec sys.argv[1]
else:
from py.test.cmdline import main
main([__file__])

260 changes: 135 additions & 125 deletions test/test_parallel.py
Expand Up @@ -14,164 +14,174 @@
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.




from __future__ import division

import numpy
import numpy as np
import numpy.linalg as la




def run_convergence_test_advec(dtype, debug_output=False):
import pytest
from hedge.models.advection import StrongAdvectionOperator


def my_box_mesh(boundary_tagger):
from hedge.mesh.generator import make_rect_mesh
from math import pi
return make_rect_mesh(
b=(2*pi, 3), max_area=0.4,
#periodicity=(True, False),
# meshpy doesn't do periodic at the moment (5/2014)
periodicity=(False, False),
subdivisions=(5, 10),
boundary_tagger=boundary_tagger,
)


def my_rect_mesh(boundary_tagger):
from hedge.mesh.generator import make_box_mesh
from math import pi
return make_box_mesh(
(0, 0, 0), (2*pi, 2, 2), max_volume=0.4,
#periodicity=(True, False, False),
# meshpy doesn't do periodic at the moment (5/2014)
periodicity=(False, False, False),
boundary_tagger=boundary_tagger,
)


def my_ball_mesh(boundary_tagger):
from hedge.mesh.generator import make_ball_mesh
from math import pi
return make_ball_mesh(
r=pi,
boundary_tagger=boundary_tagger, max_volume=0.7)


def run_convergence_test_advec(dtype, flux_type, random_partition, mesh_gen,
debug_output=False):
"""Test whether 2/3D advection actually converges"""

from hedge.mesh.generator import make_ball_mesh, make_box_mesh, make_rect_mesh
from hedge.timestep import RK4TimeStepper
from hedge.tools import EOCRecorder
from math import sin, pi, sqrt
from hedge.models.advection import StrongAdvectionOperator
from math import sin
from hedge.data import TimeDependentGivenFunction
from hedge.visualization import SiloVisualizer

from hedge.backends import guess_run_context
rcon = guess_run_context(["mpi"])

# note: x component must remain zero because x-periodicity is used
v = numpy.array([0.0,0.9,0.3])
v = np.array([0.0, 0.9, 0.3])

def f(x):
return sin(x)

def u_analytic(x, el, t):
return f((numpy.dot(-v[:dims],x)/la.norm(v[:dims])+t*la.norm(v[:dims])))
return f((np.dot(-v[:dims], x)/la.norm(v[:dims])+t*la.norm(v[:dims])))

def boundary_tagger(vertices, el, face_nr, points):
face_normal = el.face_normals[face_nr]
if numpy.dot(face_normal, v[:len(face_normal)]) < 0:
if np.dot(face_normal, v[:len(face_normal)]) < 0:
return ["inflow"]
else:
return ["outflow"]

for i_mesh, mesh in enumerate([
# 2D semiperiodic
make_rect_mesh(b=(2*pi,3), max_area=0.4,
periodicity=(True, False),
subdivisions=(5,10),
boundary_tagger=boundary_tagger,
),
# 3D x-periodic
make_box_mesh((0,0,0), (2*pi, 2, 2), max_volume=0.4,
periodicity=(True, False, False),
boundary_tagger=boundary_tagger,
),
# non-periodic
make_ball_mesh(r=pi,
boundary_tagger=boundary_tagger, max_volume=0.7),
]):
for flux_type in StrongAdvectionOperator.flux_types:
for random_partition in [True, False]:
eoc_rec = EOCRecorder()

if random_partition:
# Distribute elements randomly across nodes.
# This is bad, efficiency-wise, but it puts stress
# on the parallel implementation, which is desired here.
# Another main point of this is to force the code to split
# a periodic face pair across nodes.
from random import choice
partition = [choice(rcon.ranks) for el in mesh.elements]
else:
partition = None

for order in [1,2,3,4]:
if rcon.is_head_rank:
mesh_data = rcon.distribute_mesh(mesh, partition)
else:
mesh_data = rcon.receive_mesh()

dims = mesh.points.shape[1]

discr = rcon.make_discretization(mesh_data, order=order,
default_scalar_type=dtype)

op = StrongAdvectionOperator(v[:dims],
inflow_u=TimeDependentGivenFunction(u_analytic),
flux_type=flux_type)
if debug_output:
vis = SiloVisualizer(discr, rcon)

u = discr.interpolate_volume_function(
lambda x, el: u_analytic(x, el, 0))
ic = u.copy()

if debug_output and rcon.is_head_rank:
print "#elements=%d" % len(mesh.elements)

test_name = "test-%s-o%d-m%d-r%s" % (
flux_type, order, i_mesh, random_partition)

rhs = op.bind(discr)

stepper = RK4TimeStepper(dtype=dtype)
from hedge.timestep import times_and_steps
final_time = 1
step_it = times_and_steps(
final_time=final_time,
max_dt_getter=lambda t: op.estimate_timestep(discr,
stepper=stepper, t=t, fields=u))

for step, t, dt in step_it:
u = stepper(u, t, dt, rhs)

assert u.dtype == dtype

u_true = discr.interpolate_volume_function(
lambda x, el: u_analytic(x, el, final_time))
error = u-u_true
l2_error = discr.norm(error)

if debug_output:
visf = vis.make_file(test_name+"-final")
vis.add_data(visf, [
("u", u),
("u_true", u_true),
("ic", ic)])
visf.close()

eoc_rec.add_data_point(order, l2_error)

if debug_output and rcon.is_head_rank:
print "%s\n%s\n" % (flux_type.upper(), "-" * len(flux_type))
print eoc_rec.pretty_print(abscissa_label="Poly. Order",
error_label="L2 Error")

assert eoc_rec.estimate_order_of_convergence()[0,1] > 3
assert eoc_rec.estimate_order_of_convergence(2)[-1,1] > 7




def run_parallel_test(dtype):
from pytools.mpi import run_with_mpi_ranks
run_with_mpi_ranks(__file__, 2, lambda: run_convergence_test_advec(dtype))
mesh = mesh_gen(boundary_tagger)
eoc_rec = EOCRecorder()

if random_partition:
# Distribute elements randomly across nodes.
# This is bad, efficiency-wise, but it puts stress
# on the parallel implementation, which is desired here.
# Another main point of this is to force the code to split
# a periodic face pair across nodes.
from random import choice
partition = [choice(rcon.ranks) for el in mesh.elements]
else:
partition = None

for order in [1, 2, 3, 4]:
if rcon.is_head_rank:
mesh_data = rcon.distribute_mesh(mesh, partition)
else:
mesh_data = rcon.receive_mesh()

dims = mesh.points.shape[1]

discr = rcon.make_discretization(mesh_data, order=order,
default_scalar_type=dtype)

op = StrongAdvectionOperator(v[:dims],
inflow_u=TimeDependentGivenFunction(u_analytic),
flux_type=flux_type)
if debug_output:
vis = SiloVisualizer(discr, rcon)

u = discr.interpolate_volume_function(
lambda x, el: u_analytic(x, el, 0))
ic = u.copy()

def test_hedge_parallel():
from pytools.test import mark_test
mark_long_mpi = lambda f: mark_test.long(mark_test.mpi(f))
if debug_output and rcon.is_head_rank:
print "#elements=%d" % len(mesh.elements)

for dtype in [numpy.float32, numpy.float64]:
yield ("CPU-MPI in %s precision" % dtype,
mark_long_mpi(run_parallel_test),
dtype)
test_name = "test-%s-o%d-m%s-r%s" % (
flux_type, order, mesh_gen.__name__, random_partition)

rhs = op.bind(discr)

stepper = RK4TimeStepper(dtype=dtype)
from hedge.timestep import times_and_steps
final_time = 1
step_it = times_and_steps(
final_time=final_time,
max_dt_getter=lambda t: op.estimate_timestep(discr,
stepper=stepper, t=t, fields=u))

for step, t, dt in step_it:
u = stepper(u, t, dt, rhs)

assert u.dtype == dtype

u_true = discr.interpolate_volume_function(
lambda x, el: u_analytic(x, el, final_time))
error = u-u_true
l2_error = discr.norm(error)

if debug_output:
visf = vis.make_file(test_name+"-final")
vis.add_data(visf, [
("u", u),
("u_true", u_true),
("ic", ic)])
visf.close()

eoc_rec.add_data_point(order, l2_error)

if debug_output and rcon.is_head_rank:
print "%s\n%s\n" % (flux_type.upper(), "-" * len(flux_type))
print eoc_rec.pretty_print(abscissa_label="Poly. Order",
error_label="L2 Error")

assert eoc_rec.estimate_order_of_convergence()[0, 1] > 3
assert eoc_rec.estimate_order_of_convergence(2)[-1, 1] > 7


@pytest.mark.parametrize("dtype", [np.float32, np.float64])
@pytest.mark.parametrize("flux_type", StrongAdvectionOperator.flux_types)
@pytest.mark.parametrize("random_partition", [True, False])
@pytest.mark.parametrize("mesh_gen", [my_box_mesh])
def test_hedge_parallel(dtype, flux_type, random_partition, mesh_gen):
from pytools.mpi import run_with_mpi_ranks
run_with_mpi_ranks(__file__, 2,
run_convergence_test_advec,
(dtype, flux_type, random_partition, mesh_gen))


if __name__ == "__main__":
run_parallel_test(numpy.float32)
import sys
from pytools.mpi import check_for_mpi_relaunch
check_for_mpi_relaunch(sys.argv)

if len(sys.argv) > 1:
exec sys.argv[1]
else:
from py.test.cmdline import main
main([__file__])

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