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import numpy as np
import numpy.linalg as la
import pyopencl as cl
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)
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from utilities import *
@pytest.mark.parametrize("states_str,fluxes_str,direction", [
("2 4 4 4 20,1 1 1 1 5.5", "4 11.2 8 8 46.4,1 2.6 1 1 7.1", "x"),
("2 4 4 4 20,1 1 1 1 5.5", "4 8 11.2 8 46.4,1 1 2.6 1 7.1", "y"),
("2 4 4 4 20,1 1 1 1 5.5", "4 8 8 11.2 46.4,1 1 1 2.6 7.1", "z"),
("1 -1 -1 -1 5.5,2 -4 -4 -4 20", "-1 2.6 1 1 -7.1,-4 11.2 8 8 -46.4", "x"),
("1 -1 -1 -1 5.5,2 -4 -4 -4 20", "-1 1 2.6 1 -7.1,-4 8 11.2 8 -46.4", "y"),
("1 -1 -1 -1 5.5,2 -4 -4 -4 20", "-1 1 1 2.6 -7.1,-4 8 8 11.2 -46.4", "z"),
("2 4 8 12 64,1 1 2 3 11", "4 11.2 16 24 134.4,1 2.6 2 3 12.6", "x"),
("2 4 8 12 64,1 1 2 3 11", "8 16 35.2 48 268.8,2 2 5.6 6 25.2", "y"),
("2 4 8 12 64,1 1 2 3 11", "12 24 48 75.2 403.2,3 3 6 10.6 37.8", "z"),
("1 -1 -2 -3 11,2 -4 -8 -12 64", "-1 2.6 2 3 -12.6,-4 11.2 16 24 -134.4", "x"),
("1 -1 -2 -3 11,2 -4 -8 -12 64", "-2 2 5.6 6 -25.2,-8 16 35.2 48 -268.8", "y"),
("1 -1 -2 -3 11,2 -4 -8 -12 64", "-3 3 6 10.6 -37.8,-12 24 48 75.2 -403.2", "z")
])
def test_roe_uniform_grid(ctx_factory, states_str, fluxes_str, direction):
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def identity_matrix(n):
return np.identity(n).astype(np.float32).copy(order="F")
def check_roe_identity(states, R, Rinv):
dState = states[:,1] - states[:,0]
compare_arrays(R@(Rinv@dState), dState)
def check_roe_property(states, fluxes, R, Rinv, lam):
dState = states[:,1] - states[:,0]
dFlux = fluxes[:,1] - fluxes[:,0]
temp = Rinv@dState
temp = np.multiply(lam, temp)
compare_arrays(R@temp, dFlux)
prg = get_weno_program_with_root_kernel("roe_eigensystem")
queue = get_queue(ctx_factory)
nvars = 5
ndim = 3
dirs = {"x" : 1, "y" : 2, "z" : 3}
states = transposed_array_from_string(states_str)
fluxes = transposed_array_from_string(fluxes_str)
metrics_frozen = identity_matrix(ndim)
R_dev = empty_array_on_device(queue, nvars, nvars)
Rinv_dev = empty_array_on_device(queue, nvars, nvars)
lam_dev = empty_array_on_device(queue, nvars)
prg(queue, nvars=nvars, ndim=ndim, d=dirs[direction],
states=states, metrics_frozen=metrics_frozen,
R=R_dev, R_inv=Rinv_dev, lambda_roe=lam_dev)
R = R_dev.get()
Rinv = Rinv_dev.get()
lam = lam_dev.get()
check_roe_identity(states, R, Rinv)
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check_roe_property(states, fluxes, R, Rinv, lam)
prg = get_weno_program_with_root_kernel("mult_mat_vec")
a = random_array_on_device(queue, 10, 10)
b = random_array_on_device(queue, 10)
compare_arrays(a.get()@b.get(), c.get())
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def test_compute_flux_derivatives(ctx_factory):
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queue = get_queue(ctx_factory)
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 = transform_weno_for_gpu(prg)
queue = get_queue(ctx_factory)
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: