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import numpy.linalg as la # noqa: F401
import pyopencl as cl # noqa: F401
import pyopencl.array # noqa
import pyopencl.tools # noqa
import pyopencl.clrandom # noqa
import loopy as lp # noqa
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import pytest
from pyopencl.tools import ( # noqa
pytest_generate_tests_for_pyopencl
as pytest_generate_tests)
from data_for_test import test_flux_data_fixture # noqa: F401
def test_weno_flux_uniform_grid(ctx_factory, test_flux_data_fixture):
data = test_flux_data_fixture
prg = u.get_weno_program_with_root_kernel("weno_flux")
queue = u.get_queue(ctx_factory)
flux_dev = u.empty_array_on_device(queue, data.nvars)
prg(queue, nvars=data.nvars,
generalized_fluxes=data.fluxes,
characteristic_fluxes_pos=data.char_fluxes_pos,
characteristic_fluxes_neg=data.char_fluxes_neg,
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combined_frozen_metrics=1.0,
u.compare_arrays(flux_dev.get(), data.weno_flux)
def test_consistent_part_uniform_grid(ctx_factory, test_flux_data_fixture):
data = test_flux_data_fixture
prg = u.get_weno_program_with_root_kernel("consistent_part")
queue = u.get_queue(ctx_factory)
consistent_dev = u.empty_array_on_device(queue, data.nvars)
prg(queue, nvars=data.nvars,
generalized_fluxes=data.fluxes,
consistent=consistent_dev)
u.compare_arrays(consistent_dev.get(), data.consistent)
def test_dissipation_part_pos_uniform_grid(ctx_factory, test_flux_data_fixture):
data = test_flux_data_fixture
prg = u.get_weno_program_with_root_kernel("dissipation_part_pos")
queue = u.get_queue(ctx_factory)
dissipation_dev = u.empty_array_on_device(queue, data.nvars)
prg(queue, nvars=data.nvars,
characteristic_fluxes=data.char_fluxes_pos,
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combined_frozen_metrics=1.0,
R=data.R,
dissipation_pos=dissipation_dev)
u.compare_arrays(dissipation_dev.get(), data.dissipation_pos)
def test_dissipation_part_neg_uniform_grid(ctx_factory, test_flux_data_fixture):
data = test_flux_data_fixture
prg = u.get_weno_program_with_root_kernel("dissipation_part_neg")
queue = u.get_queue(ctx_factory)
dissipation_dev = u.empty_array_on_device(queue, data.nvars)
prg(queue, nvars=data.nvars,
characteristic_fluxes=data.char_fluxes_neg,
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combined_frozen_metrics=1.0,
R=data.R,
dissipation_neg=dissipation_dev)
u.compare_arrays(dissipation_dev.get(), data.dissipation_neg)
def test_weno_weights_pos_uniform_grid(ctx_factory, test_flux_data_fixture):
data = test_flux_data_fixture
prg = u.get_weno_program_with_root_kernel("weno_weights_pos")
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queue = u.get_queue(ctx_factory)
weights_dev = u.empty_array_on_device(queue, data.nvars, 3)
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prg(queue, nvars=data.nvars,
characteristic_fluxes=data.char_fluxes_pos,
combined_frozen_metrics=1.0,
w=weights_dev)
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u.compare_arrays(weights_dev.get(), data.weno_weights_pos)
def test_weno_weights_neg_uniform_grid(ctx_factory, test_flux_data_fixture):
data = test_flux_data_fixture
prg = u.get_weno_program_with_root_kernel("weno_weights_neg")
queue = u.get_queue(ctx_factory)
weights_dev = u.empty_array_on_device(queue, data.nvars, 3)
prg(queue, nvars=data.nvars,
characteristic_fluxes=data.char_fluxes_neg,
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combined_frozen_metrics=1.0,
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w=weights_dev)
u.compare_arrays(weights_dev.get(), data.weno_weights_neg)
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def test_flux_splitting_uniform_grid(ctx_factory, test_flux_data_fixture):
data = test_flux_data_fixture
prg = u.get_weno_program_with_root_kernel("split_characteristic_fluxes")
queue = u.get_queue(ctx_factory)
fluxes_pos_dev = u.empty_array_on_device(queue, data.nvars, 6)
fluxes_neg_dev = u.empty_array_on_device(queue, data.nvars, 6)
prg(queue, nvars=data.nvars,
generalized_states_frozen=data.states,
generalized_fluxes_frozen=data.fluxes,
R_inv=data.R_inv,
wavespeeds=data.wavespeeds,
characteristic_fluxes_pos=fluxes_pos_dev,
characteristic_fluxes_neg=fluxes_neg_dev)
u.compare_arrays(fluxes_pos_dev.get(), data.char_fluxes_pos)
u.compare_arrays(fluxes_neg_dev.get(), data.char_fluxes_neg)
def test_pointwise_eigenvalues_ideal_gas(ctx_factory, data):
data = test_flux_data_fixture
prg = u.get_weno_program_with_root_kernel("pointwise_eigenvalues")
queue = u.get_queue(ctx_factory)
lam_dev = u.empty_array_on_device(queue, data.nvars, 6)
prg(queue, nvars=data.nvars, d=data.direction,
states=data.states, lambda_pointwise=lam_dev)
u.compare_arrays(lam_dev.get(), data.lam_pointwise)
def test_roe_uniform_grid_ideal_gas(ctx_factory, test_flux_data_fixture):
data = test_flux_data_fixture
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def identity_matrix(n):
return np.identity(n).astype(np.float32).copy(order="F")
def check_roe_identity(states, R, R_inv):
u.compare_arrays(R@(R_inv@d_state), d_state)
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def check_roe_property(states, fluxes, R, R_inv, lam):
d_state = states[:, 1] - states[:, 0]
d_flux = fluxes[:, 1] - fluxes[:, 0]
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temp = np.multiply(lam, temp)
u.compare_arrays(R@temp, d_flux)
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prg = u.get_weno_program_with_root_kernel("roe_eigensystem")
queue = u.get_queue(ctx_factory)
metrics_frozen = identity_matrix(data.ndim)
R_dev = u.empty_array_on_device(queue, data.nvars, data.nvars)
R_inv_dev = u.empty_array_on_device(queue, data.nvars, data.nvars)
lam_dev = u.empty_array_on_device(queue, data.nvars)
prg(queue, nvars=data.nvars, ndim=data.ndim, d=data.direction,
states=data.state_pair, metrics_frozen=metrics_frozen,
R=R_dev, R_inv=R_inv_dev, lambda_roe=lam_dev)
R = R_dev.get()
lam = lam_dev.get()
check_roe_identity(data.state_pair, R, R_inv)
check_roe_property(data.state_pair, data.flux_pair, R, R_inv, lam)
@pytest.mark.parametrize("lam_pointwise_str,lam_roe_str,lam_expected_str", [
("1 2 3 4 5,2 4 6 8 10", "1.5 3 4.5 6 7.5", "2.2 4.4 6.6 8.8 11"),
("1 2 3 4 5,-2 -4 -6 -8 -10", "1.5 3 4.5 6 7.5", "2.2 4.4 6.6 8.8 11"),
("1 2 3 4 5,-2 -4 -6 -8 -10", "3 6 9 12 15", "3.3 6.6 9.9 13.2 16.5"),
("1 2 3 4 5,2 4 6 8 10", "-3 -6 -9 -12 -15", "3.3 6.6 9.9 13.2 16.5"),
("3 2 9 4 5,2 6 6 12 10", "-1 -4 -3 -8 -15", "3.3 6.6 9.9 13.2 16.5")
])
def test_lax_wavespeeds(
ctx_factory, lam_pointwise_str, lam_roe_str, lam_expected_str):
prg = u.get_weno_program_with_root_kernel("lax_wavespeeds")
queue = u.get_queue(ctx_factory)
nvars = 5
lam_pointwise = u.expand_to_6(u.transposed_array_from_string(lam_pointwise_str))
lam_roe = u.array_from_string(lam_roe_str)
lam_dev = u.empty_array_on_device(queue, nvars)
prg(queue, nvars=nvars, lambda_pointwise=lam_pointwise,
lambda_roe=lam_roe, wavespeeds=lam_dev)
lam_expected = u.array_from_string(lam_expected_str)
u.compare_arrays(lam_dev.get(), lam_expected)
prg = u.get_weno_program_with_root_kernel("mult_mat_vec")
queue = u.get_queue(ctx_factory)
a = u.random_array_on_device(queue, 10, 10)
b = u.random_array_on_device(queue, 10)
prg(queue, alpha=1.0, a=a, b=b, c=c)
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def test_compute_flux_derivatives(ctx_factory):
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prg = prg.copy(target=lp.PyOpenCLTarget(queue.device))
lp.auto_test_vs_ref(prg, ctx_factory(), warmup_rounds=1,
parameters=dict(ndim=3, nvars=5, nx=16, ny=16, nz=16))
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def test_compute_flux_derivatives_gpu(ctx_factory, write_code=False):
prg = u.get_weno_program()
prg = u.transform_weno_for_gpu(prg)
prg = prg.copy(target=lp.PyOpenCLTarget(queue.device))
prg = lp.set_options(prg, no_numpy=True)
lp.auto_test_vs_ref(prg, ctx_factory(), warmup_rounds=1,
parameters=dict(ndim=3, nvars=5, nx=16, ny=16, nz=16))
# This lets you run 'python test.py test_case(cl._csc)' without pytest.
if __name__ == "__main__":
if len(sys.argv) > 1:
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logging.basicConfig(level="INFO")
exec(sys.argv[1])
else: