def norm(p, arg, dd=None):
"""
:arg arg: is assumed to be a vector, i.e. have shape ``(n,)``.
"""
sym = _sym()
if dd is None:
dd = sym.DD_VOLUME
dd = sym.as_dofdesc(dd)
if p == 2:
norm_squared = sym.NodalSum(dd_in=dd)(
sym.FunctionSymbol("fabs")(
arg * sym.MassOperator()(arg)))
if isinstance(norm_squared, np.ndarray):
norm_squared = norm_squared.sum()
return sym.FunctionSymbol("sqrt")(norm_squared)
elif p == np.Inf:
result = sym.NodalMax(dd_in=dd)(sym.FunctionSymbol("fabs")(arg))
from pymbolic.primitives import Max
if isinstance(result, np.ndarray):
from functools import reduce
result = reduce(Max, result)
return result
else:
raise ValueError("unsupported value of p")
def test_external_call(ctx_factory):
cl_ctx = ctx_factory()
queue = cl.CommandQueue(cl_ctx)
actx = PyOpenCLArrayContext(queue)
def double(queue, x):
return 2 * x
from meshmode.mesh.generation import generate_regular_rect_mesh
dims = 2
mesh = generate_regular_rect_mesh(a=(0, ) * dims,
b=(1, ) * dims,
n=(4, ) * dims)
discr = DGDiscretizationWithBoundaries(actx, mesh, order=1)
ones = sym.Ones(sym.DD_VOLUME)
op = (ones * 3 + sym.FunctionSymbol("double")(ones))
from grudge.function_registry import (base_function_registry,
register_external_function)
freg = register_external_function(base_function_registry,
"double",
implementation=double,
dd=sym.DD_VOLUME)
bound_op = bind(discr, op, function_registry=freg)
result = bound_op(actx, double=double)
assert actx.to_numpy(flatten(result) == 5).all()
def test_external_call(actx_factory):
actx = actx_factory()
def double(queue, x):
return 2 * x
dims = 2
mesh = mgen.generate_regular_rect_mesh(a=(0, ) * dims,
b=(1, ) * dims,
nelements_per_axis=(4, ) * dims)
discr = DiscretizationCollection(actx, mesh, order=1)
ones = sym.Ones(dof_desc.DD_VOLUME)
op = (ones * 3 + sym.FunctionSymbol("double")(ones))
from grudge.function_registry import (base_function_registry,
register_external_function)
freg = register_external_function(base_function_registry,
"double",
implementation=double,
dd=dof_desc.DD_VOLUME)
bound_op = bind(discr, op, function_registry=freg)
result = bound_op(actx, double=double)
assert actx.to_numpy(flatten(result) == 5).all()
def max_eigenvalue_expr(self):
"""Return the largest eigenvalue of Maxwell's equations as a hyperbolic
system.
"""
from math import sqrt
if self.fixed_material:
return 1/sqrt(self.epsilon*self.mu) # a number
else:
import grudge.symbolic as sym
return sym.NodalMax()(1/sym.FunctionSymbol("sqrt")(self.epsilon*self.mu))
def max_eigenvalue(self, t, fields=None, discr=None):
return sym.NodalMax()(sym.FunctionSymbol("fabs")(self.c))
