def test_leapfrog_with_double(self):
orig = get_config().use_double
def _cleanup():
get_config().use_double = orig
get_config().use_double = True
self.addCleanup(_cleanup)
self.test_leapfrog()
def __init__(self, acceleration_eval):
self.object = acceleration_eval
self.config = get_config()
self.all_array_names = get_all_array_names(self.object.particle_arrays)
self.known_types = get_known_types_for_arrays(self.all_array_names)
self._ext_mod = None
self._module = None
def __init__(self, helper, c_acceleration_eval):
self.helper = helper
self.acceleration_eval = c_acceleration_eval
self.nnps = None
self.parallel_manager = None
self._post_stage_callback = None
self._use_double = get_config().use_double
self._setup_methods()
def _get_backend(self, backend):
if not backend:
cfg = get_config()
if cfg.use_opencl:
backend = 'opencl'
else:
backend = 'cython'
return backend
def get_code(self):
path = os.path.join(os.path.dirname(__file__),
'acceleration_eval_opencl.mako')
template = Template(filename=path)
main = template.render(helper=self)
from pyopencl._cluda import CLUDA_PREAMBLE
double_support = get_config().use_double
cluda = Template(CLUDA_PREAMBLE).render(double_support=double_support)
main = "\n".join([cluda, main])
return main
def setUp(self):
NNPSTestCase.setUp(self)
cl = importorskip("pyopencl")
from pysph.base import gpu_nnps
cfg = get_config()
self._orig_use_double = cfg.use_double
cfg.use_double = True
self.nps = gpu_nnps.ZOrderGPUNNPS(dim=3,
particles=self.particles,
radius_scale=2.0,
backend='opencl')
def test_precomputed_should_work_on_gpu_with_double(self):
orig = get_config().use_double
def _cleanup():
get_config().use_double = orig
get_config().use_double = True
self.addCleanup(_cleanup)
# Given
pa = self.pa
equations = [SummationDensity(dest='fluid', sources=['fluid'])]
a_eval = self._make_accel_eval(equations)
# When
a_eval.compute(0.1, 0.1)
# Then
expect = np.asarray([7.357, 9.0, 9., 9., 9., 9., 9., 9., 9., 7.357])
pa.gpu.pull('rho')
print(pa.rho, pa.gpu.rho)
self.assertTrue(np.allclose(expect, pa.rho, atol=1e-2))
def setUp(self):
NNPSTestCase.setUp(self)
cl = importorskip("pyopencl")
from pysph.base import gpu_nnps
ctx = cl.create_some_context(interactive=False)
cfg = get_config()
self._orig_use_double = cfg.use_double
cfg.use_double = True
self.nps = gpu_nnps.ZOrderGPUNNPS(dim=3,
particles=self.particles,
radius_scale=2.0,
ctx=ctx)
def __init__(self, particle_array, backend=None):
self.backend = get_backend(backend)
self._particle_array = pa = particle_array
use_double = get_config().use_double
self._dtype = np.float64 if use_double else np.float32
self.num_real_particles = pa.num_real_particles
self._data = {}
self.properties = []
self.constants = []
for prop, ary in pa.properties.items():
self.add_prop(prop, ary)
for prop, ary in pa.constants.items():
self.add_const(prop, ary)
def __init__(self, particle_array):
self._particle_array = pa = particle_array
self._queue = get_queue()
self._ctx = get_context()
use_double = get_config().use_double
self._dtype = np.float64 if use_double else np.float32
self._data = {}
self.properties = []
self.constants = []
for prop, ary in pa.properties.items():
self.add_prop(prop, ary)
for prop, ary in pa.constants.items():
self.add_const(prop, ary)
def setUp(self):
NNPSTestCase.setUp(self)
cl = importorskip("pyopencl")
from pysph.base import gpu_nnps
cfg = get_config()
self._orig_use_double = cfg.use_double
cfg.use_double = False
self.nps = gpu_nnps.ZOrderGPUNNPS(dim=3,
particles=self.particles,
radius_scale=2.0,
backend='opencl')
self.nps.spatially_order_particles(0)
self.nps.spatially_order_particles(1)
for pa in self.particles:
pa.gpu.pull()
def __init__(self,
xmin=-1000.,
xmax=1000.,
ymin=0.,
ymax=0.,
zmin=0.,
zmax=0.,
periodic_in_x=False,
periodic_in_y=False,
periodic_in_z=False,
n_layers=2.0,
backend=None):
"""Constructor"""
self.xmin = xmin
self.xmax = xmax
self.ymin = ymin
self.ymax = ymax
self.zmin = zmin
self.zmax = zmax
# Indicates if the domain is periodic
self.periodic_in_x = periodic_in_x
self.periodic_in_y = periodic_in_y
self.periodic_in_z = periodic_in_z
self.is_periodic = periodic_in_x or periodic_in_y or periodic_in_z
self.n_layers = n_layers
# get the translates in each coordinate direction
self.xtranslate = xmax - xmin
self.ytranslate = ymax - ymin
self.ztranslate = zmax - zmin
# empty list of particle array wrappers for now
self.pa_wrappers = []
self.narrays = 0
# default value for the cell size
self.cell_size = 1.0
self.hmin = 1.0
# default DomainManager in_parallel is set to False
self.in_parallel = False
use_double = get_config().use_double
self.dtype = np.float64 if use_double else np.float32
self.dtype_max = np.finfo(self.dtype).max
def teardown_module():
get_config().use_openmp = False
def __init__(self, helper):
self.helper = helper
self.particle_arrays = helper.object.particle_arrays
self.nnps = None
self._queue = helper._queue
self._use_double = get_config().use_double
def convert_to_float_if_needed(code):
use_double = get_config().use_double
if not use_double:
code = re.sub(r'\bdouble\b', 'float', code)
return code
def run(nv, backend):
e = Kernel(velocity, backend=backend)
args = make_vortices(nv, backend)
t1 = time.time()
gs = ((nv + 128 - 1)//128)*128
e(*args, global_size=(gs,))
print(time.time() - t1)
u = args[3]
u.pull()
print(u.data)
return e, args
if __name__ == '__main__':
from argparse import ArgumentParser
p = ArgumentParser()
p.add_argument(
'-b', '--backend', action='store', dest='backend',
default='opencl', help='Choose the backend.'
)
p.add_argument(
'--use-double', action='store_true', dest='use_double',
default=False, help='Use double precision on the GPU.'
)
p.add_argument('-n', action='store', type=int, dest='n',
default=10000, help='Number of particles.')
o = p.parse_args()
get_config().use_double = o.use_double
assert o.backend in ['opencl'], "Only OpenCL backend is supported."
run(o.n, o.backend)
def _cleanup():
get_config().use_double = orig
def setUp(self):
get_config().use_opencl = False
self.backend = None
def tearDown(self):
super(BruteForceNNPSTestCase, self).tearDown()
get_config().use_double = self._orig_use_double
def setUp(self):
cu = pytest.importorskip("pycuda")
get_config().use_double = True
self.backend = 'cuda'
def setUp(self):
get_config().use_opencl = False
def setUp(self):
ocl = pytest.importorskip("pyopencl")
get_config().use_double = True
self.backend = 'opencl'
def tearDown(self):
super(ZOrderGPUDoubleNNPSTestCase, self).tearDown()
get_config().use_double = self._orig_use_double
if __name__ == '__main__':
from argparse import ArgumentParser
p = ArgumentParser()
p.add_argument('-b',
'--backend',
action='store',
dest='backend',
default='cython',
help='Choose the backend.')
p.add_argument('--openmp',
action='store_true',
dest='openmp',
default=False,
help='Use OpenMP.')
p.add_argument('--use-double',
action='store_true',
dest='use_double',
default=False,
help='Use double precision on the GPU.')
p.add_argument('-n',
action='store',
type=int,
dest='n',
default=10000,
help='Number of particles.')
o = p.parse_args()
get_config().use_openmp = o.openmp
get_config().use_double = o.use_double
run(o.n, o.backend)
def tearDown(self):
super(TestZOrderGPUNNPSWithSorting, self).tearDown()
get_config().use_double = self._orig_use_double
def setup_module():
get_config().use_openmp = True
