def test_curand_wrappers(self):
from pycuda.curandom import get_curand_version
if get_curand_version() is None:
from pytest import skip
skip("curand not installed")
generator_types = []
if get_curand_version() >= (3, 2, 0):
from pycuda.curandom import (
XORWOWRandomNumberGenerator,
Sobol32RandomNumberGenerator)
generator_types.extend([
XORWOWRandomNumberGenerator,
Sobol32RandomNumberGenerator])
if get_curand_version() >= (4, 0, 0):
from pycuda.curandom import (
ScrambledSobol32RandomNumberGenerator,
Sobol64RandomNumberGenerator,
ScrambledSobol64RandomNumberGenerator)
generator_types.extend([
ScrambledSobol32RandomNumberGenerator,
Sobol64RandomNumberGenerator,
ScrambledSobol64RandomNumberGenerator])
if has_double_support():
dtypes = [np.float32, np.float64]
else:
dtypes = [np.float32]
for gen_type in generator_types:
gen = gen_type()
for dtype in dtypes:
gen.gen_normal(10000, dtype)
# test non-Box-Muller version, if available
gen.gen_normal(10001, dtype)
if get_curand_version() >= (4, 0, 0):
gen.gen_log_normal(10000, dtype, 10.0, 3.0)
# test non-Box-Muller version, if available
gen.gen_log_normal(10001, dtype, 10.0, 3.0)
x = gen.gen_uniform(10000, dtype)
x_host = x.get()
assert (-1 <= x_host).all()
assert (x_host <= 1).all()
gen.gen_uniform(10000, np.uint32)
def test_curand_wrappers(self):
from pycuda.curandom import get_curand_version
if get_curand_version() is None:
from pytest import skip
skip("curand not installed")
from pycuda.curandom import (
XORWOWRandomNumberGenerator,
Sobol32RandomNumberGenerator)
if has_double_support():
dtypes = [np.float32, np.float64]
else:
dtypes = [np.float32]
for gen_type in [
XORWOWRandomNumberGenerator,
#Sobol32RandomNumberGenerator
]:
gen = gen_type()
for dtype in dtypes:
gen.gen_normal(10000, dtype)
# test non-Box-Muller version, if available
gen.gen_normal(10001, dtype)
x = gen.gen_uniform(10000, dtype)
x_host = x.get()
assert (-1 <= x_host).all()
assert (x_host <= 1).all()
gen.gen_uniform(10000, np.uint32)
def test_curand_wrappers(self):
from pycuda.curandom import get_curand_version
if get_curand_version() is None:
from pytest import skip
skip("curand not installed")
generator_types = []
if get_curand_version() >= (3, 2, 0):
from pycuda.curandom import (XORWOWRandomNumberGenerator,
Sobol32RandomNumberGenerator)
generator_types.extend(
[XORWOWRandomNumberGenerator, Sobol32RandomNumberGenerator])
if get_curand_version() >= (4, 0, 0):
from pycuda.curandom import (ScrambledSobol32RandomNumberGenerator,
Sobol64RandomNumberGenerator,
ScrambledSobol64RandomNumberGenerator)
generator_types.extend([
ScrambledSobol32RandomNumberGenerator,
Sobol64RandomNumberGenerator,
ScrambledSobol64RandomNumberGenerator
])
if has_double_support():
dtypes = [np.float32, np.float64]
else:
dtypes = [np.float32]
for gen_type in generator_types:
gen = gen_type()
for dtype in dtypes:
gen.gen_normal(10000, dtype)
# test non-Box-Muller version, if available
gen.gen_normal(10001, dtype)
if get_curand_version() >= (4, 0, 0):
gen.gen_log_normal(10000, dtype, 10.0, 3.0)
# test non-Box-Muller version, if available
gen.gen_log_normal(10001, dtype, 10.0, 3.0)
x = gen.gen_uniform(10000, dtype)
x_host = x.get()
assert (-1 <= x_host).all()
assert (x_host <= 1).all()
gen.gen_uniform(10000, np.uint32)
def test_curand_wrappers(self):
from pycuda.curandom import get_curand_version
if get_curand_version() is None:
from pytest import skip
skip("curand not installed")
generator_types = []
if get_curand_version() >= (3, 2, 0):
from pycuda.curandom import (
XORWOWRandomNumberGenerator,
Sobol32RandomNumberGenerator)
generator_types.extend([
XORWOWRandomNumberGenerator,
Sobol32RandomNumberGenerator])
if get_curand_version() >= (4, 0, 0):
from pycuda.curandom import (
ScrambledSobol32RandomNumberGenerator,
Sobol64RandomNumberGenerator,
ScrambledSobol64RandomNumberGenerator)
generator_types.extend([
ScrambledSobol32RandomNumberGenerator,
Sobol64RandomNumberGenerator,
ScrambledSobol64RandomNumberGenerator])
if get_curand_version() >= (4, 1, 0):
from pycuda.curandom import MRG32k3aRandomNumberGenerator
generator_types.extend([MRG32k3aRandomNumberGenerator])
if has_double_support():
dtypes = [np.float32, np.float64]
else:
dtypes = [np.float32]
for gen_type in generator_types:
gen = gen_type()
for dtype in dtypes:
gen.gen_normal(10000, dtype)
# test non-Box-Muller version, if available
gen.gen_normal(10001, dtype)
if get_curand_version() >= (4, 0, 0):
gen.gen_log_normal(10000, dtype, 10.0, 3.0)
# test non-Box-Muller version, if available
gen.gen_log_normal(10001, dtype, 10.0, 3.0)
x = gen.gen_uniform(10000, dtype)
x_host = x.get()
assert (-1 <= x_host).all()
assert (x_host <= 1).all()
gen.gen_uniform(10000, np.uint32)
if get_curand_version() >= (5, 0, 0):
gen.gen_poisson(10000, np.uint32, 13.0)
for dtype in dtypes + [np.uint32]:
a = gpuarray.empty(1000000, dtype=dtype)
v = 10
a.fill(v)
gen.fill_poisson(a)
tmp = (a.get() == (v-1)).sum() / a.size