diff --git a/bin/analyzegrid/CMakeLists.txt b/bin/analyzegrid/CMakeLists.txt
index bfc2f7f0a275677bd0905103e9b7b5332c310841..d3322e2914a2272d0c70d7afd88b3d13d11d9e8d 100644
--- a/bin/analyzegrid/CMakeLists.txt
+++ b/bin/analyzegrid/CMakeLists.txt
@@ -1,4 +1,6 @@
if(consistent-edge-orientation_FOUND)
add_executable(analyze_grid analyze_grid.cc)
dune_symlink_to_source_files(FILES test_2d_structured.ini test_3d_structured.ini test_2d_unstructured.ini test_3d_unstructured.ini)
+
+ add_executable(consistent_gmsh consistent_gmsh.cc)
endif()
diff --git a/bin/analyzegrid/analyze_grid.cc b/bin/analyzegrid/analyze_grid.cc
index 5ceed213057f56917deafd37cc0f9ccf3722f703..bc7c0a93304f21ae8016e970ba4831e7b8716ca0 100644
--- a/bin/analyzegrid/analyze_grid.cc
+++ b/bin/analyzegrid/analyze_grid.cc
@@ -42,7 +42,57 @@ int main(int argc, char** argv){
std::string filename = std::string(argv[2]);
std::cout << "writing into: " << filename << std::endl;
- if (quadrilateral){
+ bool gmsh = initree.hasKey("gmshFile");
+
+ if (gmsh){
+ // From the ini file we can't extract if the grid is a 2D or a 3D
+ // grid. We just try the 3D case. If the msh file is a 2D grid Dune will
+ // throw an error and we do the 2D version below. Not pretty but it
+ // works.
+ try{
+ // Setup grid (view)...
+ const int dim = 3;
+ using Grid = Dune::UGGrid<dim>;
+ using GV = Grid::LeafGridView;
+ IniGridFactory<Grid> factory(initree);
+ std::shared_ptr<Grid> grid = factory.getGrid();
+
+ // Note: As long as createConsistentGrid drops boundary faces we assume
+ // that the users already provides a consistent gmsh file.
+ // std::shared_ptr<Grid> grid_nonconsistent = factory.getGrid();
+ // std::shared_ptr<Grid> grid = createConsistentGrid(grid_nonconsistent);
+
+ GV gv = grid->leafGridView();
+
+ // Extract facemod/facedir intersection variation
+ using ES = Dune::PDELab::AllEntitySet<GV>;
+ ES es(gv);
+ std::cout << "Analyse 3d gmsh grid" << std::endl;
+ analyze_grid(es, filename);
+ }
+ catch(Dune::Exception &e){
+ // Setup grid (view)...
+ const int dim = 2;
+ using Grid = Dune::UGGrid<dim>;
+ using GV = Grid::LeafGridView;
+ IniGridFactory<Grid> factory(initree);
+ std::shared_ptr<Grid> grid = factory.getGrid();
+
+ // Note: As long as createConsistentGrid drops boundary faces we assume
+ // that the users already provides a consistent gmsh file.
+ // std::shared_ptr<Grid> grid_nonconsistent = factory.getGrid();
+ // std::shared_ptr<Grid> grid = createConsistentGrid(grid_nonconsistent);
+
+ GV gv = grid->leafGridView();
+
+ // Extract facemod/facedir intersection variation
+ using ES = Dune::PDELab::AllEntitySet<GV>;
+ ES es(gv);
+ std::cout << "Analyse 3d gmsh grid" << std::endl;
+ analyze_grid(es, filename);
+ }
+ }
+ else if (quadrilateral){
if (unstructured){
std::vector<int> tmp;
std::vector<int> dim_counter = initree.get("elements", tmp);
@@ -50,8 +100,6 @@ int main(int argc, char** argv){
std::cout << "dim: " << dim << std::endl;
if (dim == 2){
- std::cout << "Analyse 2d unstructured quadrilateral grid" << std::endl;
-
// Setup grid (view)...
using Grid = Dune::UGGrid<2>;
using GV = Grid::LeafGridView;
@@ -63,11 +111,10 @@ int main(int argc, char** argv){
// Extract facemod/facedir intersection variation
using ES = Dune::PDELab::AllEntitySet<GV>;
ES es(gv);
+ std::cout << "Analyse 2d unstructured quadrilateral grid" << std::endl;
analyze_grid(es, filename);
}
else if (dim == 3){
- std::cout << "Analyse 3d unstructured quadrilateral grid" << std::endl;
-
// Setup grid (view)...
using Grid = Dune::UGGrid<3>;
using GV = Grid::LeafGridView;
@@ -79,6 +126,7 @@ int main(int argc, char** argv){
// Extract facemod/facedir intersection variation
using ES = Dune::PDELab::AllEntitySet<GV>;
ES es(gv);
+ std::cout << "Analyse 3d unstructured quadrilateral grid" << std::endl;
analyze_grid(es, filename);
}
else{
@@ -92,8 +140,6 @@ int main(int argc, char** argv){
std::cout << "dim: " << dim << std::endl;
if (dim == 2){
- std::cout << "Analyse 2d structured quadrilateral grid" << std::endl;
-
// For structured grids we already know the variation beforehand. This
// is only implemented to cover all the cases.
@@ -107,11 +153,10 @@ int main(int argc, char** argv){
// Extract facemod/facedir intersection variation
using ES = Dune::PDELab::AllEntitySet<GV>;
ES es(gv);
+ std::cout << "Analyse 2d structured quadrilateral grid" << std::endl;
analyze_grid(es, filename);
}
if (dim == 3){
- std::cout << "Analyse 3d structured quadrilateral grid" << std::endl;
-
// For structured grids we already know the variation beforehand. This
// is only implemented to cover all the cases.
@@ -125,6 +170,7 @@ int main(int argc, char** argv){
// Extract facemod/facedir intersection variation
using ES = Dune::PDELab::AllEntitySet<GV>;
ES es(gv);
+ std::cout << "Analyse 3d structured quadrilateral grid" << std::endl;
analyze_grid(es, filename);
}
else{
diff --git a/bin/analyzegrid/consistent_gmsh.cc b/bin/analyzegrid/consistent_gmsh.cc
new file mode 100644
index 0000000000000000000000000000000000000000..cda4729adfbaf307e4aa846984424b244778786a
--- /dev/null
+++ b/bin/analyzegrid/consistent_gmsh.cc
@@ -0,0 +1,60 @@
+#include "config.h"
+
+#include <iostream>
+#include <iomanip>
+#include <dune/common/parallel/mpihelper.hh>
+#include <dune/grid/uggrid.hh>
+#include <dune/grid/io/file/gmshreader.hh>
+
+#include <dune/consistent-edge-orientation/createconsistentgrid.hh>
+
+int main(int argc, char** argv){
+ try
+ {
+ if (argc != 3){
+ std::cout << "Need input gmsh file and output filename." << std::endl;
+ return 1;
+ }
+
+ // Initialize basic stuff...
+ Dune::MPIHelper& mpihelper = Dune::MPIHelper::instance(argc, argv);
+ using RangeType = double;
+ std::string infile = std::string(argv[1]);
+
+ // From the ini file we can't extract if the grid is a 2D or a 3D grid. We
+ // just try the 3D case. If the msh file is a 2D grid Dune will throw an
+ // error and we do the 2D version below. Not pretty but it works.
+ try{
+ // Setup grid (view)...
+ const int dim = 3;
+ using Grid = Dune::UGGrid<dim>;
+ using GV = Grid::LeafGridView;
+ auto grid = Dune::GmshReader<Grid>::read(infile);
+ GV gv = grid->leafGridView();
+
+ std::string filename = std::string(argv[2]);
+ createConsistentGmshFile(gv, filename);
+ }
+ catch(Dune::Exception &e){
+ // Setup grid (view)...
+ const int dim = 2;
+ using Grid = Dune::UGGrid<dim>;
+ using GV = Grid::LeafGridView;
+ auto grid = Dune::GmshReader<Grid>::read(infile);
+ GV gv = grid->leafGridView();
+
+ std::string filename = std::string(argv[2]);
+ createConsistentGmshFile(gv, filename);
+ }
+ return 0;
+
+ }
+ catch (Dune::Exception& e)
+ { std::cerr << "Dune reported error: " << e << std::endl;
+ return 1;
+ }
+ catch (std::exception& e)
+ { std::cerr << "Unknown exception thrown!" << std::endl;
+ return 1;
+ }
+}
diff --git a/python/dune/perftool/options.py b/python/dune/perftool/options.py
index 9d4ccb3f5da38ac1d83bd5d7b63f7c7a1059c99d..25fd514582a9873eb26cf59f50897b1dbe59cdc9 100644
--- a/python/dune/perftool/options.py
+++ b/python/dune/perftool/options.py
@@ -54,6 +54,7 @@ class PerftoolGlobalOptionsArray(ImmutableRecord):
operators = PerftoolOption(default="r", helpstr="A comma separated list of operators, each name will be interpreted as a subsection name within the formcompiler section")
target_name = PerftoolOption(default=None, helpstr="The target name from CMake")
operator_to_build = PerftoolOption(default=None, helpstr="The operators from the list that is about to be build now. CMake sets this one!!!")
+ debug_interpolate_input = PerftoolOption(default=False, helpstr="Should the input for printresidual and printmatix be interpolated (instead of random input).")
# Arguments that are mainly to be set by logic depending on other options
max_vector_width = PerftoolOption(default=256, helpstr=None)
diff --git a/python/dune/perftool/pdelab/driver/gridfunctionspace.py b/python/dune/perftool/pdelab/driver/gridfunctionspace.py
index eb8688e01dfeede43d13c166b838b357841599eb..659ef658f15f618391981ef607b18eb038cd6214 100644
--- a/python/dune/perftool/pdelab/driver/gridfunctionspace.py
+++ b/python/dune/perftool/pdelab/driver/gridfunctionspace.py
@@ -83,10 +83,16 @@ def define_grid(name):
# TODO: In principle this is only necessary if we use sum factorization in
# one of the operators. So this could be turned off if that is not the case.
if isQuadrilateral(get_trial_element().cell()) and get_option("grid_unstructured"):
- include_file("dune/consistent-edge-orientation/createconsistentgrid.hh", filetag="driver")
+ # TODO: createConsistentGrid drops boundary faces. Instead of using
+ # this we assume that the user already provides a constistent gmsh
+ # file. This can be createt by createConsistentGmshFile, see
+ # dune-perftool/bin/analyzegrid/consistent_gmsh.cc
+ # include_file("dune/consistent-edge-orientation/createconsistentgrid.hh", filetag="driver")
+ # return ["IniGridFactory<{}> factory({});".format(_type, ini),
+ # "std::shared_ptr<{}> grid_nonconsistent = factory.getGrid();".format(_type),
+ # "std::shared_ptr<{}> grid = createConsistentGrid(grid_nonconsistent);".format(_type)]
return ["IniGridFactory<{}> factory({});".format(_type, ini),
- "std::shared_ptr<{}> grid_nonconsistent = factory.getGrid();".format(_type),
- "std::shared_ptr<{}> grid = createConsistentGrid(grid_nonconsistent);".format(_type)]
+ "std::shared_ptr<{}> grid = factory.getGrid();".format(_type)]
return ["IniGridFactory<{}> factory({});".format(_type, ini),
"std::shared_ptr<{}> grid = factory.getGrid();".format(_type)]
diff --git a/python/dune/perftool/pdelab/driver/solve.py b/python/dune/perftool/pdelab/driver/solve.py
index 0648df399d809fd84d30624711dfc2fb02bbc631..cdf41b82ddd3a4f33e3beb0b8ef29cfab6d012e5 100644
--- a/python/dune/perftool/pdelab/driver/solve.py
+++ b/python/dune/perftool/pdelab/driver/solve.py
@@ -9,6 +9,7 @@ from dune.perftool.pdelab.driver import (get_form_ident,
name_initree,
)
from dune.perftool.pdelab.driver.gridfunctionspace import (name_trial_gfs,
+ name_leafview,
type_domainfield,
type_trial_gfs,
)
@@ -19,6 +20,7 @@ from dune.perftool.pdelab.driver.gridoperator import (name_gridoperator,
type_gridoperator,
)
from dune.perftool.pdelab.driver.interpolate import interpolate_dirichlet_data
+from dune.perftool.pdelab.geometry import world_dimension
@preamble(section="solver")
@@ -204,6 +206,32 @@ def name_stationarynonlinearproblemsolver(go_type, go):
return name
+def random_input(v):
+ return [" // Setup random input",
+ " std::size_t seed = 0;",
+ " auto rng = std::mt19937_64(seed);",
+ " auto dist = std::uniform_real_distribution<>(-1., 1.);",
+ " for (auto& v : {})".format(v),
+ " v = dist(rng);"]
+
+
+def interpolate_input(v):
+ dim = world_dimension()
+ gv = name_leafview()
+ gfs = name_trial_gfs()
+ expr = []
+ for i in range(dim):
+ expr.append("x[{}]*x[{}]".format(i, i))
+ expr = "+".join(expr)
+ return [" // Interpolate input",
+ " auto interpolate_lambda = [] (const auto& x){",
+ " return std::exp({});".format(expr),
+ " };",
+ " auto interpolate = Dune::PDELab::makeGridFunctionFromCallable({}, interpolate_lambda);".format(gv),
+ " Dune::PDELab::interpolate(interpolate,{},{});".format(gfs, v),
+ ]
+
+
@preamble(section="printing")
def print_residual():
ini = name_initree()
@@ -212,16 +240,15 @@ def print_residual():
t_v = type_vector(get_form_ident())
include_file("random", system=True, filetag="driver")
+ if get_option("debug_interpolate_input"):
+ input = interpolate_input(v)
+ else:
+ input = random_input(v)
+
return ["if ({}.get<bool>(\"printresidual\", false)) {{".format(ini),
" using Dune::PDELab::Backend::native;",
- " {} r({});".format(t_v, v),
- " // Setup random input",
- " std::size_t seed = 0;",
- " auto rng = std::mt19937_64(seed);",
- " auto dist = std::uniform_real_distribution<>(-1., 1.);",
- " for (auto& v : {})".format(v),
- " v = dist(rng);",
- " r=0.0;",
+ " {} r({});".format(t_v, v)] + input + \
+ [" r=0.0;",
" {}.residual({}, r);".format(n_go, v),
" Dune::printvector(std::cout, native(r), \"residual vector\", \"row\");",
"}"]
@@ -235,14 +262,15 @@ def print_matrix():
v = name_vector(get_form_ident())
t_v = type_vector(get_form_ident())
+ if get_option("debug_interpolate_input"):
+ input = interpolate_input(v)
+ else:
+ input = random_input(v)
+
return ["if ({}.get<bool>(\"printmatrix\", false)) {{".format(ini),
- " // Setup random input",
- " std::size_t seed = 0;",
- " auto rng = std::mt19937_64(seed);",
- " auto dist = std::uniform_real_distribution<>(1., 10.);",
- " for (auto& v : {})".format(v),
- " v = dist(rng);",
- " using M = typename {}::Traits::Jacobian;".format(t_go),
+ " using Dune::PDELab::Backend::native;",
+ " {} r({});".format(t_v, v)] + input + \
+ [" using M = typename {}::Traits::Jacobian;".format(t_go),
" M m({});".format(n_go),
" {}.jacobian({},m);".format(n_go, v),
" using Dune::PDELab::Backend::native;",
diff --git a/python/dune/perftool/sumfact/accumulation.py b/python/dune/perftool/sumfact/accumulation.py
index abad6788cb31f90276dbde32e2fb5aa2b6faa3af..dff7cfccd8a0282a2b0cf87e8c4a0ea3c709a010 100644
--- a/python/dune/perftool/sumfact/accumulation.py
+++ b/python/dune/perftool/sumfact/accumulation.py
@@ -126,11 +126,11 @@ class AccumulationOutput(SumfactKernelInterfaceBase, ImmutableRecord):
def realize(self, sf, result, insn_dep, inames=None, additional_inames=()):
trial_leaf_element = get_leaf(self.trial_element, self.trial_element_index) if self.trial_element is not None else None
- basis_size = tuple(mat.basis_size for mat in sf.matrix_sequence)
+ basis_size = tuple(mat.basis_size for mat in sf.permuted_matrix_sequence)
if inames is None:
inames = tuple(accum_iname(trial_leaf_element, mat.rows, i)
- for i, mat in enumerate(sf.matrix_sequence))
+ for i, mat in enumerate(sf.permuted_matrix_sequence))
# Determine the expression to accumulate with. This depends on the vectorization strategy!
from dune.perftool.tools import maybe_wrap_subscript
diff --git a/python/dune/perftool/sumfact/basis.py b/python/dune/perftool/sumfact/basis.py
index e9584d1d644ec6ec3c61b2b8cd863e54192b47c9..b4795478e990e5f82090f8a6346ee73168ede6e9 100644
--- a/python/dune/perftool/sumfact/basis.py
+++ b/python/dune/perftool/sumfact/basis.py
@@ -89,7 +89,7 @@ class LFSSumfactKernelInput(SumfactKernelInterfaceBase, ImmutableRecord):
from dune.perftool.sumfact.realization import name_buffer_storage
name = "input_{}".format(sf.buffer)
temporary_variable(name,
- shape=(product(mat.basis_size for mat in sf.matrix_sequence), sf.vector_width),
+ shape=(product(mat.basis_size for mat in sf.permuted_matrix_sequence), sf.vector_width),
custom_base_storage=name_buffer_storage(sf.buffer, 0),
managed=True,
)
diff --git a/python/dune/perftool/sumfact/geometry.py b/python/dune/perftool/sumfact/geometry.py
index c4471ee3ab329eef051bfd1a27f0eb0fce1bd4c3..8455f78bda074359c7668e2c4674f7886741aea9 100644
--- a/python/dune/perftool/sumfact/geometry.py
+++ b/python/dune/perftool/sumfact/geometry.py
@@ -26,6 +26,7 @@ from dune.perftool.pdelab.localoperator import (name_ansatz_gfs_constructor_para
lop_template_range_field,
)
from dune.perftool.pdelab.restriction import restricted_name
+from dune.perftool.sumfact.accumulation import basis_sf_kernels
from dune.perftool.sumfact.basis import construct_basis_matrix_sequence
from dune.perftool.sumfact.quadrature import (additional_inames,
default_quadrature_inames)
@@ -34,9 +35,6 @@ from dune.perftool.sumfact.realization import (name_buffer_storage,
)
from dune.perftool.sumfact.switch import get_facedir, get_facemod
from dune.perftool.sumfact.symbolic import SumfactKernelInterfaceBase, SumfactKernel
-from dune.perftool.sumfact.tabulation import (quadrature_points_per_direction,
- BasisTabulationMatrix,
- )
from dune.perftool.sumfact.vectorization import attach_vectorization_info
from dune.perftool.tools import get_pymbolic_basename
from dune.perftool.options import get_form_option, option_switch
@@ -71,18 +69,21 @@ class GeoCornersInput(SumfactKernelInterfaceBase, ImmutableRecord):
"""
ImmutableRecord.__init__(self, direction=direction, restriction=restriction)
+ def __repr__(self):
+ return ImmutableRecord.__repr__(self)
+
+ def __str__(self):
+ return repr(self)
+
@property
def stage(self):
return 1
- def __repr__(self):
- return ImmutableRecord.__repr__(self)
-
- def realize(self, sf, insn_dep):
- # TODO: When we use vectorization this should be the offset
- assert(get_form_option('vectorization_strategy') == 'none')
- index = 0
+ @property
+ def direct_is_possible(self):
+ return False
+ def realize(self, sf, insn_dep, index=0):
# Note: world_dimension, since we only do evaluation of cell geometry mappings
name = "input_{}".format(sf.buffer)
temporary_variable(name,
@@ -150,9 +151,14 @@ def pymbolic_spatial_coordinate_multilinear(do_predicates, visitor):
)
vsf = attach_vectorization_info(sf)
+ # If this sum factorization kernel was not used in the dry run we
+ # just return 0
+ if vsf == 0:
+ visitor.indices = None
+ return 0
+
# Add a sum factorization kernel that implements the evaluation of
# the basis functions at quadrature points (stage 1)
- from dune.perftool.sumfact.realization import realize_sum_factorization_kernel
var, _ = realize_sum_factorization_kernel(vsf)
# The results of this function is already the right component of the
@@ -260,12 +266,12 @@ def define_outer_normal(name, visitor):
temporary_variable(name, shape=(world_dimension(),))
for i in range(world_dimension()):
assignee = prim.Subscript(prim.Variable(name), i)
- jit = pymbolic_jacobian_inverse(i, facedir_s, Restriction.POSITIVE, visitor)
+ ji = pymbolic_jacobian_inverse(facedir_s, i, Restriction.POSITIVE, visitor)
# Note: 2*facemod_s-1 because of
# -1 if facemod_s = 0
# +1 if facemod_s = 1
- expression = jit * (2 * facemod_s - 1)
+ expression = ji * (2 * facemod_s - 1)
inames = default_quadrature_inames(visitor) + additional_inames(visitor)
instruction(assignee=assignee,
@@ -523,6 +529,12 @@ def _name_jacobian(i, j, restriction, visitor):
)
vsf = attach_vectorization_info(sf)
+ # If this sum factorization kernel was not used in the dry run we
+ # just return 0
+ if vsf == 0:
+ visitor.indices = None
+ return 0
+
# Add a sum factorization kernel that implements the evaluation of
# the basis functions at quadrature points (stage 1)
var, _ = realize_sum_factorization_kernel(vsf)
@@ -532,7 +544,7 @@ def _name_jacobian(i, j, restriction, visitor):
def define_jacobian_inverse(name, restriction, visitor):
- """Return jacobian inverse transposed of the geometry mapping (of a cell)
+ """Return jacobian inverse of the geometry mapping (of a cell)
At the moment this only works for geometry mappings of cells and not for
intersection. We only consider this case as it greatly simplifies code
@@ -555,11 +567,20 @@ def define_jacobian_inverse(name, restriction, visitor):
)
names_jacobian.append(name_jacobian)
+ # The sum factorization kernels from the geometry evaluation of the
+ # jacobians will never appear in the expression for the input of
+ # stage 3. This way the SumfactCollectMapper will never see them
+ # and they will be marked as inactive. Here we explicitly mark the
+ # as used.
+ basis_sf_kernels(expression.aggregate)
+
# Calculate the inverse of the jacobian of the geometry mapping and the
- # determinant by calling a c++ function
+ # determinant by calling a c++ function. Note: The result will be column
+ # major -> fortran style.
name_detjac = name_jacobian_determinant(visitor)
temporary_variable(name_detjac, shape=())
- temporary_variable(name, shape=(dim, dim), managed=True)
+ ftags = ",".join(["f"] * 2)
+ temporary_variable(name, shape=(dim, dim), dim_tags=ftags, managed=True)
include_file('dune/perftool/sumfact/invertgeometry.hh', filetag='operatorfile')
code = "{} = invert_and_return_determinant({}, {});".format(name_detjac,
", ".join(names_jacobian),
diff --git a/python/dune/perftool/sumfact/permutation.py b/python/dune/perftool/sumfact/permutation.py
index b00be306a7f6c724b35107c30692c2f0d1b4f14a..211bf22a3d3d586991381a3862af149e61a1de56 100644
--- a/python/dune/perftool/sumfact/permutation.py
+++ b/python/dune/perftool/sumfact/permutation.py
@@ -2,6 +2,9 @@
import itertools
+from dune.perftool.options import get_option
+from dune.perftool.sumfact.switch import get_facedir, get_facemod
+
def sumfact_permutation_heuristic(permutations, stage):
"""Heuristic to choose a permutation
@@ -49,7 +52,7 @@ def sumfact_permutation_strategy(sf):
heuristic is used to pick one.
"""
# Extract information from the SumfactKernel object
- matrix_sequence = sf.matrix_sequence
+ matrix_sequence = sf.permuted_matrix_sequence
stage = sf.stage
# Combine permutation and matrix_sequence
@@ -74,6 +77,13 @@ def sumfact_permutation_strategy(sf):
def permute_forward(t, perm):
+ """Forward permute t according to perm (not inplace)
+
+ Example:
+ t = ('a', 'b', 'c')
+ perm = (1, 2, 0)
+ -> ('b', 'c', 'a')
+ """
tmp = []
for pos in perm:
tmp.append(t[pos])
@@ -81,7 +91,55 @@ def permute_forward(t, perm):
def permute_backward(t, perm):
+ """Backward permute t according to perm (not inplace)
+
+ Inverse of permute_forward(t, perm).
+
+ Example:
+ t = ('a', 'b', 'c')
+ perm = (1, 2, 0)
+ -> ('c', 'a', 'b')
+ """
tmp = [None] * len(t)
for i, pos in enumerate(perm):
tmp[pos] = t[i]
return tuple(tmp)
+
+
+def sumfact_quadrature_permutation_strategy(dim, restriction):
+ """Return order of direction for the quadrature points for stage 2
+
+ On intersection we need to make sure to go through the quadrature points of
+ self and neighbor in the same order. We do this by making the grid edge
+ consistent and complying to a convention of the directions depending on the
+ dimension, restriction, facedir and facemod.
+
+ In order to derive those conventions you need to draw the cells with edge
+ orientation and see how to match the intersections.
+ """
+ # Use a simpler convention for structured grids. In this case we can always
+ # go through the directions in the normal order. The same is true for 2D
+ # and sum factorization on volumes.
+ if (not get_option('grid_unstructured')) or dim == 2 or restriction == 0:
+ return tuple(range(dim))
+ else:
+ def _order_on_self(restriction):
+ facedir = get_facedir(restriction)
+ facemod = get_facemod(restriction)
+
+ # Here we specify the convention
+ if (facedir, facemod) in [(0, 0), (1, 1), (2, 0)]:
+ return tuple(range(dim))
+ else:
+ l = list(range(dim))
+ l.reverse()
+ return tuple(l)
+
+ # On neighbor we need the reverse order
+ if restriction == 1:
+ return _order_on_self(restriction)
+ else:
+ assert restriction == 2
+ l = list(_order_on_self(restriction))
+ l.reverse()
+ return tuple(l)
diff --git a/python/dune/perftool/sumfact/quadrature.py b/python/dune/perftool/sumfact/quadrature.py
index 6fe70fa441979c4ae00a5f44acc8136def9f5fb0..398e793d49d5beb98d35e14a859936e15f03332c 100644
--- a/python/dune/perftool/sumfact/quadrature.py
+++ b/python/dune/perftool/sumfact/quadrature.py
@@ -177,6 +177,17 @@ def quadrature_weight(visitor):
def define_quadrature_position(name, local_index):
+ # TODO: This whole function looks quite suspicious:
+ # - qps_per_dir not used
+ # - probably rename index to local_index
+ #
+ # This whole function is probably not used anymore since we use sum
+ # factorization for evaluation of global coordinate, jacobian inverse
+ # transposed and determinant of the jacobian of the geometry mapping.
+ #
+ # Needs to be fixed. Or removed. Added to my to do list ;)
+ assert False
+
qps_per_dir = quadrature_points_per_direction()
local_qps_per_dir = local_quadrature_points_per_direction()
qp_bound = local_qps_per_dir[index]
diff --git a/python/dune/perftool/sumfact/realization.py b/python/dune/perftool/sumfact/realization.py
index 794e67e1dc1a7947f82399554e9678114c017101..2c5f8a3c3b44e1dd473816464b7856432bdc37b4 100644
--- a/python/dune/perftool/sumfact/realization.py
+++ b/python/dune/perftool/sumfact/realization.py
@@ -76,8 +76,8 @@ def _realize_sum_factorization_kernel(sf):
for buf in buffers:
# Determine the necessary size of the buffer. We assume that we do not
# underintegrate the form!!!
- size = max(product(m.quadrature_size for m in sf.matrix_sequence) * sf.vector_width,
- product(m.basis_size for m in sf.matrix_sequence) * sf.vector_width)
+ size = max(product(m.quadrature_size for m in sf.permuted_matrix_sequence) * sf.vector_width,
+ product(m.basis_size for m in sf.permuted_matrix_sequence) * sf.vector_width)
temporary_variable("{}_dummy".format(buf),
shape=(size,),
custom_base_storage=buf,
@@ -161,7 +161,7 @@ def realize_sumfact_kernel_function(sf):
perm = sumfact_permutation_strategy(sf)
# Permute matrix sequence
- matrix_sequence = permute_forward(sf.matrix_sequence, perm)
+ matrix_sequence = permute_forward(sf.permuted_matrix_sequence, perm)
# Product of all matrices
for l, matrix in enumerate(matrix_sequence):
@@ -190,12 +190,17 @@ def realize_sumfact_kernel_function(sf):
# first matrix multiplication this can be taken from
# * an input temporary (default)
# * a global data structure (if FastDGGridOperator is in use)
- # * a value from a global data structure, broadcasted to a vector type (vectorized + FastDGGridOperator)
+ # * a value from a global data structure, broadcasted to a vector type
+ # (vectorized + FastDGGridOperator)
input_inames = (k_expr,) + tuple(prim.Variable(j) for j in out_inames[1:])
if l == 0 and sf.stage == 1 and sf.interface.direct_is_possible:
- # See comment below
- input_inames = permute_backward(input_inames, perm)
+ # One permutation for cost reduction, see comment below
inp_shape = permute_backward(inp_shape, perm)
+ input_inames = permute_backward(input_inames, perm)
+
+ # And one more for permuted quadrature points, see comment below
+ inp_shape = permute_backward(inp_shape, sf.quadrature_permutation)
+ input_inames = permute_backward(input_inames, sf.quadrature_permutation)
input_summand = sf.interface.realize_direct(inp_shape, input_inames)
else:
@@ -206,6 +211,13 @@ def realize_sumfact_kernel_function(sf):
if l == 0:
inp_shape = permute_backward(inp_shape, perm)
input_inames = permute_backward(input_inames, perm)
+ if sf.stage == 1:
+ # In the unstructured case the sf.permuted_matrix_sequence could
+ # already be permuted according to
+ # sf.quadrature_permutation. We also need to reverse this
+ # permutation to get the input from 0 to d-1.
+ inp_shape = permute_backward(inp_shape, sf.quadrature_permutation)
+ input_inames = permute_backward(input_inames, sf.quadrature_permutation)
# Get a temporary that interprets the base storage of the input
# as a column-major matrix. In later iteration of the matrix loop
@@ -215,7 +227,8 @@ def realize_sumfact_kernel_function(sf):
dim_tags=ftags,
)
- # The input temporary will only be read from, so we need to silence the loopy warning
+ # The input temporary will only be read from, so we need to silence
+ # the loopy warning
silenced_warning('read_no_write({})'.format(inp))
input_summand = prim.Subscript(prim.Variable(inp),
@@ -235,6 +248,9 @@ def realize_sumfact_kernel_function(sf):
output_shape = tuple(out_shape[1:]) + (out_shape[0],)
if l == len(matrix_sequence) - 1:
output_shape = permute_backward(output_shape, perm)
+ if sf.stage == 3:
+ output_shape = permute_backward(output_shape, sf.quadrature_permutation)
+
out = buffer.get_temporary("buff_step{}_out".format(l),
shape=output_shape + vec_shape,
dim_tags=ftags,
@@ -253,6 +269,8 @@ def realize_sumfact_kernel_function(sf):
output_inames = tuple(prim.Variable(i) for i in out_inames[1:]) + (prim.Variable(out_inames[0]),)
if l == len(matrix_sequence) - 1:
output_inames = permute_backward(output_inames, perm)
+ if sf.stage == 3:
+ output_inames = permute_backward(output_inames, sf.quadrature_permutation)
# Collect the key word arguments for the loopy instruction
insn_args = {"depends_on": insn_dep}
diff --git a/python/dune/perftool/sumfact/symbolic.py b/python/dune/perftool/sumfact/symbolic.py
index fb283a0536318c1585a0963a33ca76105571cb84..85601c1e84e44bb15f998e227da0b980e63789d9 100644
--- a/python/dune/perftool/sumfact/symbolic.py
+++ b/python/dune/perftool/sumfact/symbolic.py
@@ -6,6 +6,7 @@ from dune.perftool.generation import (get_counted_variable,
transform,
)
from dune.perftool.pdelab.geometry import local_dimension, world_dimension
+from dune.perftool.sumfact.permutation import permute_forward, sumfact_quadrature_permutation_strategy
from dune.perftool.sumfact.quadrature import quadrature_inames
from dune.perftool.sumfact.tabulation import BasisTabulationMatrixBase, BasisTabulationMatrixArray
from dune.perftool.loopy.target import dtype_floatingpoint, type_floatingpoint
@@ -158,7 +159,7 @@ class VectorSumfactKernelOutput(SumfactKernelInterfaceBase):
from dune.perftool.sumfact.accumulation import accum_iname
element = get_leaf(trial_element, trial_element_index) if trial_element is not None else None
inames = tuple(accum_iname(element, mat.rows, i)
- for i, mat in enumerate(sf.matrix_sequence))
+ for i, mat in enumerate(sf.permuted_matrix_sequence))
veciname = accum_iname(element, sf.vector_width // len(outputs), "vec")
transform(lp.tag_inames, [(veciname, "vec")])
@@ -224,6 +225,7 @@ class SumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable):
insn_dep=frozenset(),
interface=SumfactKernelInterfaceBase(),
predicates=frozenset(),
+ quadrature_permutation=None,
):
"""Create a sum factorization kernel
@@ -269,9 +271,10 @@ class SumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable):
Arguments:
----------
- matrix_sequence: A tuple of BasisTabulationMatrixBase instances
- The list of tensors to be applied to the input.
- Order of application is from 0 up.
+ matrix_sequence: A tuple of BasisTabulationMatrixBase instances The
+ list of tensors to be applied to the input ordered from direction 0
+ to d-1. This might not be the order in which the tensors will be
+ applied.
buffer: A string identifying the flip flop buffer in use
for intermediate results. The memory is expected to be
pre-initialized with the input or you have to provide
@@ -296,6 +299,27 @@ class SumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable):
for a in SumfactKernel.init_arg_names:
defaultdict[a] = eval(a)
+ dim = len(matrix_sequence)
+
+ # Not sure if this whole permuting would make sense if we would do sum
+ # factorized evaluation of intersections where len(matrix_sequence)
+ # would not be equal to world dim.
+ assert dim == world_dimension()
+
+ # Get restriction for this sum factorization kernel. Note: For
+ # accumulation output we have a restriction for the test (index 0) and
+ # ansatz (index 1) space. We need the restriction corresponding to the
+ # test space since we are in stage 3
+ restriction = interface.restriction
+ if isinstance(restriction, tuple):
+ assert interface.stage is 3
+ assert len(restriction) is 2
+ restriction = restriction[0]
+
+ # Store correct quadrature_permutation
+ quadrature_permuation = sumfact_quadrature_permutation_strategy(dim, restriction)
+ defaultdict['quadrature_permutation'] = quadrature_permuation
+
# Call the base class constructors
ImmutableRecord.__init__(self, **defaultdict)
prim.Variable.__init__(self, "SUMFACT")
@@ -308,13 +332,14 @@ class SumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable):
return tuple(getattr(self, arg) for arg in SumfactKernel.init_arg_names)
def stringifier(self):
+ # Uses __str__ below
return lp.symbolic.StringifyMapper
def __str__(self):
- # Above stringifier just calls back into this
+ # Return permuted_matrix_sequence
return "SF{}:[{}]->[{}]".format(self.stage,
str(self.interface),
- ", ".join(str(m) for m in self.matrix_sequence))
+ ", ".join(str(m) for m in self.permuted_matrix_sequence))
mapper_method = "map_sumfact_kernel"
@@ -325,13 +350,25 @@ class SumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable):
@property
def function_name(self):
""" The name of the function that implements this kernel """
- return "sfimpl_{}{}".format("_".join(str(m) for m in self.matrix_sequence),
+ # Use permuted_matrix_sequence here since this is more consistent with
+ # the vectorized case
+ name = "sfimpl_{}{}".format("_".join(str(m) for m in self.permuted_matrix_sequence),
self.interface.function_name_suffix)
+ # On unstructured we need different permutation of the input to realize
+ # different permuation of quadrature points on self and neighbor. Mangle
+ # the permutation of the quadrature points into the name to generate
+ # sperate functions.
+ if self.quadrature_permutation != tuple(range(len(self.matrix_sequence))):
+ name_quad_perm = "_qpperm_{}".format("".join(str(a) for a in self.quadrature_permutation))
+ name = name + name_quad_perm
+
+ return name
+
@property
def parallel_key(self):
""" A key that identifies parallellizable kernels. """
- return tuple(m.basis_size for m in self.matrix_sequence) + (self.stage, self.buffer)
+ return tuple(m.basis_size for m in self.permuted_matrix_sequence) + (self.stage, self.buffer)
@property
def cache_key(self):
@@ -395,13 +432,26 @@ class SumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable):
"""
return 0
+ @property
+ def permuted_matrix_sequence(self):
+ """Matrix sequence ordered according to desired quadrature point ordered
+
+ Except for face integrals on 3D unstructured grids this will just be
+ the matrix sequence. In this special case it might be the reverse order
+ to ensure that quadrature points are visited in the same order on self
+ and neighbor.
+ """
+ perm = self.quadrature_permutation
+ permuted_matrix_sequence = permute_forward(self.matrix_sequence, perm)
+ return permuted_matrix_sequence
+
@property
def quadrature_shape(self):
""" The shape of a temporary for the quadrature points
Takes into account the lower dimensionality of faces and vectorization.
"""
- return tuple(mat.quadrature_size for mat in self.matrix_sequence)
+ return tuple(mat.quadrature_size for mat in self.permuted_matrix_sequence)
def quadrature_index(self, sf, visitor):
if visitor.current_info[1] is None:
@@ -414,14 +464,14 @@ class SumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable):
element = element.extract_component(element_index)[1]
quad_inames = quadrature_inames(element)
- if len(self.matrix_sequence) == local_dimension():
+ if len(self.permuted_matrix_sequence) == local_dimension():
return tuple(prim.Variable(i) for i in quad_inames)
# Traverse all the quadrature inames and map them to their correct direction
index = []
i = 0
for d in range(world_dimension()):
- if self.matrix_sequence[d].face is None:
+ if self.permuted_matrix_sequence[d].face is None:
index.append(prim.Variable(quad_inames[i]))
i = i + 1
else:
@@ -444,7 +494,7 @@ class SumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable):
Takes into account vectorization.
"""
- return tuple(mat.basis_size for mat in self.matrix_sequence)
+ return tuple(mat.basis_size for mat in self.permuted_matrix_sequence)
@property
def dof_dimtags(self):
@@ -519,7 +569,7 @@ class SumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable):
""" The total number of floating point operations for the kernel
to be carried out """
from dune.perftool.sumfact.permutation import flop_cost
- return flop_cost(self.matrix_sequence)
+ return flop_cost(self.permuted_matrix_sequence)
# Extract the argument list and store it on the class. This needs to be done
@@ -548,14 +598,18 @@ class VectorizedSumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable)
# Assert properties of the matrix sequence of the underlying kernels
for i in range(kernels[0].length):
- assert len(set(tuple(k.matrix_sequence[i].rows for k in kernels))) == 1
- assert len(set(tuple(k.matrix_sequence[i].cols for k in kernels))) == 1
- assert len(set(tuple(k.matrix_sequence[i].direction for k in kernels))) == 1
- assert len(set(tuple(k.matrix_sequence[i].transpose for k in kernels))) == 1
+ assert len(set(tuple(k.permuted_matrix_sequence[i].rows for k in kernels))) == 1
+ assert len(set(tuple(k.permuted_matrix_sequence[i].cols for k in kernels))) == 1
+ assert len(set(tuple(k.permuted_matrix_sequence[i].direction for k in kernels))) == 1
+ assert len(set(tuple(k.permuted_matrix_sequence[i].transpose for k in kernels))) == 1
# Join the instruction dependencies of all subkernels
insn_dep = insn_dep.union(k.insn_dep for k in kernels)
+ # Assert that quadrature permutation is the same for all kernels
+ for k in kernels:
+ assert k.quadrature_permutation == kernels[0].quadrature_permutation
+
# We currently assume that all subkernels are consecutive, 0-based within the vector
assert None not in kernels
@@ -605,14 +659,17 @@ class VectorizedSumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable)
#
# Deduce all data fields of normal sum factorization kernels from the underlying kernels
#
-
@property
def matrix_sequence(self):
- return tuple(BasisTabulationMatrixArray(tuple(k.matrix_sequence[i] for k in self.kernels),
+ return tuple(BasisTabulationMatrixArray(tuple(k.permuted_matrix_sequence[i] for k in self.kernels),
width=self.vector_width,
)
for i in range(self.length))
+ @property
+ def permuted_matrix_sequence(self):
+ return self.matrix_sequence
+
@property
def stage(self):
return self.kernels[0].stage
@@ -621,6 +678,10 @@ class VectorizedSumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable)
def restriction(self):
return self.kernels[0].restriction
+ @property
+ def quadrature_permutation(self):
+ return self.kernels[0].quadrature_permutation
+
@property
def within_inames(self):
return self.kernels[0].within_inames
@@ -678,7 +739,7 @@ class VectorizedSumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable)
def horizontal_index(self, sf):
for i, k in enumerate(self.kernels):
if sf.inout_key == k.inout_key:
- if tuple(mat.derivative for mat in sf.matrix_sequence) == tuple(mat.derivative for mat in k.matrix_sequence):
+ if tuple(mat.derivative for mat in sf.permuted_matrix_sequence) == tuple(mat.derivative for mat in k.permuted_matrix_sequence):
return i
return 0
@@ -733,7 +794,7 @@ class VectorizedSumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable)
quad_inames = quadrature_inames(element)
sliced = 0
- if len(sf.matrix_sequence) == local_dimension():
+ if len(sf.permuted_matrix_sequence) == local_dimension():
for d in range(local_dimension()):
if self.matrix_sequence[d].slice_size:
sliced = prim.Variable(quad_inames[d])
@@ -803,7 +864,7 @@ class VectorizedSumfactKernel(SumfactKernelBase, ImmutableRecord, prim.Variable)
to be executed - neglecting the existence of caches of course
"""
dofs = product(mat.basis_size for mat in self.matrix_sequence)
- matrices = sum(mat.memory_traffic for mat in set(matrix_sequence))
+ matrices = sum(mat.memory_traffic for mat in set(self.matrix_sequence))
fbytes = get_option("precision_bits") / 8
return (dofs + matrices) * fbytes
diff --git a/python/dune/perftool/sumfact/tabulation.py b/python/dune/perftool/sumfact/tabulation.py
index de13c45c3105e8c0e7411d1d849f7f55f4629e96..e913ed6243ff50f1e028bcff41dc2d2547e0c690 100644
--- a/python/dune/perftool/sumfact/tabulation.py
+++ b/python/dune/perftool/sumfact/tabulation.py
@@ -51,6 +51,17 @@ class BasisTabulationMatrix(BasisTabulationMatrixBase, ImmutableRecord):
slice_size=None,
slice_index=None,
):
+ """
+ Arguments:
+ ----------
+ basis_size: Number of 1D basis functions in this direction
+ transpose: Do we need the transposed of this matrix
+ derivative: Do we use derivaties of the basis functions for this direction
+ face: On a face with the normal direction equal to direction this is facemod (else it is None)
+ direction: Direction corresponding to this matrix
+ slice_size: Number of slices for this direction
+ slice_index: To which slice does this belong
+ """
assert(isinstance(basis_size, int))
ImmutableRecord.__init__(self,
basis_size=basis_size,
diff --git a/python/dune/perftool/sumfact/vectorization.py b/python/dune/perftool/sumfact/vectorization.py
index aed3f4a30b9115fc0a4aef1169f85db8e492853a..27585679b456dd27a3470b999798fab02823eb3b 100644
--- a/python/dune/perftool/sumfact/vectorization.py
+++ b/python/dune/perftool/sumfact/vectorization.py
@@ -16,8 +16,7 @@ from dune.perftool.generation import (backend,
from dune.perftool.pdelab.restriction import (Restriction,
restricted_name,
)
-from dune.perftool.sumfact.tabulation import (BasisTabulationMatrixArray,
- quadrature_points_per_direction,
+from dune.perftool.sumfact.tabulation import (quadrature_points_per_direction,
set_quadrature_points,
)
from dune.perftool.error import PerftoolVectorizationError
@@ -254,7 +253,7 @@ def level1_optimal_vectorization_strategy(sumfacts, width):
sf = next(iter(sumfacts))
depth = 1
while depth <= width:
- i = 0 if sf.matrix_sequence[0].face is None else 1
+ i = 0 if sf.permuted_matrix_sequence[0].face is None else 1
quad = list(quadrature_points_per_direction())
quad[i] = round_to_multiple(quad[i], depth)
quad_points.append(tuple(quad))
@@ -390,14 +389,14 @@ def get_vectorization_dict(sumfacts, vertical, horizontal, qp):
continue
# Determine the slicing direction
- slice_direction = 0 if sf.matrix_sequence[0].face is None else 1
+ slice_direction = 0 if sf.permuted_matrix_sequence[0].face is None else 1
if qp[slice_direction] % vertical != 0:
return None
# Split the basis tabulation matrices
- oldtab = sf.matrix_sequence[slice_direction]
+ oldtab = sf.permuted_matrix_sequence[slice_direction]
for i in range(vertical):
- seq = list(sf.matrix_sequence)
+ seq = list(sf.permuted_matrix_sequence)
seq[slice_direction] = oldtab.copy(slice_size=vertical,
slice_index=i)
kernels.append(sf.copy(matrix_sequence=tuple(seq)))
diff --git a/test/sumfact/poisson/CMakeLists.txt b/test/sumfact/poisson/CMakeLists.txt
index a304dc7fcb6649ff6440688fcd0055d3645c65f4..91e9e60755a314f083cbb3d25088a52192c9cade 100644
--- a/test/sumfact/poisson/CMakeLists.txt
+++ b/test/sumfact/poisson/CMakeLists.txt
@@ -61,6 +61,24 @@ if(consistent-edge-orientation_FOUND)
INIFILE poisson_dg_3d_unstructured.mini
ANALYZE_GRID
)
+ dune_add_formcompiler_system_test(UFLFILE poisson_dg_2d.ufl
+ BASENAME sumfact_poisson_dg_2d_gmsh
+ INIFILE poisson_dg_2d_gmsh.mini
+ ANALYZE_GRID
+ )
+ dune_add_formcompiler_system_test(UFLFILE poisson_dg_3d.ufl
+ BASENAME sumfact_poisson_dg_3d_gmsh
+ INIFILE poisson_dg_3d_gmsh.mini
+ ANALYZE_GRID
+ )
+ dune_add_formcompiler_system_test(UFLFILE poisson_dg_3d.ufl
+ BASENAME sumfact_poisson_fastdg_3d_gmsh
+ INIFILE poisson_fastdg_3d_gmsh.mini
+ ANALYZE_GRID
+ )
+ dune_symlink_to_source_files(FILES square_quad.msh square_quad_consistent.msh)
+ dune_symlink_to_source_files(FILES cube_hexa_2.msh cube_hexa_2_consistent.msh)
+ dune_symlink_to_source_files(FILES cube_hexa.msh cube_hexa_consistent.msh)
endif()
#=============================================
diff --git a/test/sumfact/poisson/cube_hexa.msh b/test/sumfact/poisson/cube_hexa.msh
new file mode 100644
index 0000000000000000000000000000000000000000..15101b483ece71544a5f223606e9d8f912ea5fa1
--- /dev/null
+++ b/test/sumfact/poisson/cube_hexa.msh
@@ -0,0 +1,1738 @@
+$MeshFormat
+2.2 0 8
+$EndMeshFormat
+$Nodes
+729
+1 0 0 0
+2 1 0 0
+3 1 1 0
+4 0 1 0
+5 0 0 1
+6 1 0 1
+7 1 1 1
+8 0 1 1
+9 0.1249999999997731 0 0
+10 0.2499999999994109 0 0
+11 0.3749999999990461 0 0
+12 0.4999999999986921 0 0
+13 0.6249999999990109 0 0
+14 0.7499999999993406 0 0
+15 0.8749999999996703 0 0
+16 1 0.1249999999997731 0
+17 1 0.2499999999994109 0
+18 1 0.3749999999990461 0
+19 1 0.4999999999986921 0
+20 1 0.6249999999990109 0
+21 1 0.7499999999993406 0
+22 1 0.8749999999996703 0
+23 0.8749999999995012 1 0
+24 0.7500000000003471 1 0
+25 0.625000000001214 1 0
+26 0.5000000000020595 1 0
+27 0.3750000000015609 1 0
+28 0.2500000000010405 1 0
+29 0.1250000000005203 1 0
+30 0 0.8749999999995012 0
+31 0 0.7500000000003471 0
+32 0 0.625000000001214 0
+33 0 0.5000000000020595 0
+34 0 0.3750000000015609 0
+35 0 0.2500000000010405 0
+36 0 0.1250000000005203 0
+37 0.1249999999997731 0 1
+38 0.2499999999994109 0 1
+39 0.3749999999990461 0 1
+40 0.4999999999986921 0 1
+41 0.6249999999990109 0 1
+42 0.7499999999993406 0 1
+43 0.8749999999996703 0 1
+44 1 0.1249999999997731 1
+45 1 0.2499999999994109 1
+46 1 0.3749999999990461 1
+47 1 0.4999999999986921 1
+48 1 0.6249999999990109 1
+49 1 0.7499999999993406 1
+50 1 0.8749999999996703 1
+51 0.8749999999995012 1 1
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+$EndElements
diff --git a/test/sumfact/poisson/poisson_2d_unstructured.mini b/test/sumfact/poisson/poisson_2d_unstructured.mini
index b797809b2f626a3d8e9a0aa546df4e549f12e3fe..b7de167f8b04294285f3e75ff7553ec872b56e38 100644
--- a/test/sumfact/poisson/poisson_2d_unstructured.mini
+++ b/test/sumfact/poisson/poisson_2d_unstructured.mini
@@ -9,7 +9,7 @@ deg_suffix = deg{formcompiler.ufl_variants.degree}
{deg_suffix} == deg1 | exclude
{diff_suffix} == numdiff | exclude
{quadvec_suffix} == quadvec | exclude
-{gradvec_suffix} == gradvec | exclude
+# {gradvec_suffix} == gradvec | exclude
lowerleft = 0.0 0.0
upperright = 1.0 1.0
@@ -23,6 +23,7 @@ extension = vtu
[formcompiler]
compare_l2errorsquared = 5e-5, 5e-7 | expand deg
grid_unstructured = 1
+debug_interpolate_input = 1
[formcompiler.r]
numerical_jacobian = 1, 0 | expand num
diff --git a/test/sumfact/poisson/poisson_3d_unstructured.mini b/test/sumfact/poisson/poisson_3d_unstructured.mini
index 05f9a1d10e7068c6bb7f8c3c1742ed97f9ee86ab..0d8b46901303b6a2889ef52ab82c389c9f4c2ead 100644
--- a/test/sumfact/poisson/poisson_3d_unstructured.mini
+++ b/test/sumfact/poisson/poisson_3d_unstructured.mini
@@ -9,7 +9,7 @@ deg_suffix = deg{formcompiler.ufl_variants.degree}
{deg_suffix} == deg1 | exclude
{diff_suffix} == numdiff | exclude
{quadvec_suffix} == quadvec | exclude
-{gradvec_suffix} == gradvec | exclude
+# {gradvec_suffix} == gradvec | exclude
lowerleft = 0.0 0.0 0.0
upperright = 1.0 1.0 1.0
@@ -23,6 +23,7 @@ extension = vtu
[formcompiler]
compare_l2errorsquared = 1e-4, 1e-8 | expand deg
grid_unstructured = 1
+debug_interpolate_input = 1
[formcompiler.r]
numerical_jacobian = 1, 0 | expand num
diff --git a/test/sumfact/poisson/poisson_dg_2d_gmsh.mini b/test/sumfact/poisson/poisson_dg_2d_gmsh.mini
new file mode 100644
index 0000000000000000000000000000000000000000..79df9ea4e0ce87805ea9220e3be9b05262beb596
--- /dev/null
+++ b/test/sumfact/poisson/poisson_dg_2d_gmsh.mini
@@ -0,0 +1,34 @@
+__name = sumfact_poisson_dg_2d_gmsh_{__exec_suffix}
+__exec_suffix = {deg_suffix}_{diff_suffix}_{quadvec_suffix}_{gradvec_suffix}
+
+diff_suffix = numdiff, symdiff | expand num
+quadvec_suffix = quadvec, nonquadvec | expand quad
+gradvec_suffix = gradvec, nongradvec | expand grad
+deg_suffix = deg{formcompiler.ufl_variants.degree}
+
+{deg_suffix} == deg1 | exclude
+{diff_suffix} == numdiff | exclude
+{quadvec_suffix} == quadvec | exclude
+{gradvec_suffix} == gradvec | exclude
+
+# gmshFile = square_quad.msh
+gmshFile = square_quad_consistent.msh
+
+[wrapper.vtkcompare]
+name = {__name}
+extension = vtu
+
+[formcompiler]
+compare_l2errorsquared = 5e-5, 5e-7 | expand deg
+grid_unstructured = 1
+debug_interpolate_input = 1
+
+[formcompiler.r]
+numerical_jacobian = 1, 0 | expand num
+sumfact = 1
+sumfact_regular_jacobians = 1
+vectorization_quadloop = 1, 0 | expand quad
+vectorization_strategy = explicit, none | expand grad
+
+[formcompiler.ufl_variants]
+degree = 1, 2 | expand deg
diff --git a/test/sumfact/poisson/poisson_dg_2d_unstructured.mini b/test/sumfact/poisson/poisson_dg_2d_unstructured.mini
index 639b96da2988d7f50f4fbb4b1569f46997d21d31..fec1c93d095eb90dcbfc1a40e11f01af58ecced0 100644
--- a/test/sumfact/poisson/poisson_dg_2d_unstructured.mini
+++ b/test/sumfact/poisson/poisson_dg_2d_unstructured.mini
@@ -23,6 +23,7 @@ extension = vtu
[formcompiler]
compare_l2errorsquared = 5e-5, 5e-5 | expand deg
grid_unstructured = 1
+debug_interpolate_input = 1
[formcompiler.r]
numerical_jacobian = 1, 0 | expand num
diff --git a/test/sumfact/poisson/poisson_dg_3d_gmsh.mini b/test/sumfact/poisson/poisson_dg_3d_gmsh.mini
new file mode 100644
index 0000000000000000000000000000000000000000..eb320a2d90f99e9c2abd40470f160370677ebe81
--- /dev/null
+++ b/test/sumfact/poisson/poisson_dg_3d_gmsh.mini
@@ -0,0 +1,36 @@
+__name = sumfact_poisson_dg_3d_gmsh_{__exec_suffix}
+__exec_suffix = {deg_suffix}_{diff_suffix}_{quadvec_suffix}_{gradvec_suffix}
+
+diff_suffix = numdiff, symdiff | expand num
+quadvec_suffix = quadvec, nonquadvec | expand quad
+gradvec_suffix = gradvec, nongradvec | expand grad
+deg_suffix = deg{formcompiler.ufl_variants.degree}
+
+# {deg_suffix} == deg1 | exclude
+{diff_suffix} == numdiff | exclude
+{quadvec_suffix} == quadvec | exclude
+{gradvec_suffix} == gradvec | exclude
+
+# gmshFile = cube_hexa_2.msh
+# gmshFile = cube_hexa_2_consistent.msh
+# gmshFile = cube_hexa.msh
+gmshFile = cube_hexa_consistent.msh
+
+[wrapper.vtkcompare]
+name = {__name}
+extension = vtu
+
+[formcompiler]
+compare_l2errorsquared = 1e-4, 5e-6 | expand deg
+grid_unstructured = 1
+debug_interpolate_input = 1
+
+[formcompiler.r]
+numerical_jacobian = 1, 0 | expand num
+sumfact = 1
+sumfact_regular_jacobians = 1
+vectorization_quadloop = 1, 0 | expand quad
+vectorization_strategy = explicit, none | expand grad
+
+[formcompiler.ufl_variants]
+degree = 1, 2 | expand deg
diff --git a/test/sumfact/poisson/poisson_dg_3d_unstructured.mini b/test/sumfact/poisson/poisson_dg_3d_unstructured.mini
index 012b3356b887eedc31a848b714790d2ac633445b..271b1f54d533db26bf7a205ff0df772ae0254b0c 100644
--- a/test/sumfact/poisson/poisson_dg_3d_unstructured.mini
+++ b/test/sumfact/poisson/poisson_dg_3d_unstructured.mini
@@ -6,7 +6,7 @@ quadvec_suffix = quadvec, nonquadvec | expand quad
gradvec_suffix = gradvec, nongradvec | expand grad
deg_suffix = deg{formcompiler.ufl_variants.degree}
-{deg_suffix} == deg1 | exclude
+# {deg_suffix} == deg1 | exclude
{diff_suffix} == numdiff | exclude
{quadvec_suffix} == quadvec | exclude
{gradvec_suffix} == gradvec | exclude
@@ -23,6 +23,7 @@ extension = vtu
[formcompiler]
compare_l2errorsquared = 1e-4, 5e-6 | expand deg
grid_unstructured = 1
+debug_interpolate_input = 1
[formcompiler.r]
numerical_jacobian = 1, 0 | expand num
diff --git a/test/sumfact/poisson/poisson_fastdg_3d_gmsh.mini b/test/sumfact/poisson/poisson_fastdg_3d_gmsh.mini
new file mode 100644
index 0000000000000000000000000000000000000000..52de26ab8457740a0ff15c6e2ce3a3969328ff0b
--- /dev/null
+++ b/test/sumfact/poisson/poisson_fastdg_3d_gmsh.mini
@@ -0,0 +1,35 @@
+__name = sumfact_poisson_fastdg_3d_gmsh_{__exec_suffix}
+__exec_suffix = {deg_suffix}_{quadvec_suffix}_{gradvec_suffix}
+
+quadvec_suffix = quadvec, nonquadvec | expand quad
+gradvec_suffix = gradvec, nongradvec | expand grad
+deg_suffix = deg{formcompiler.ufl_variants.degree}
+
+{deg_suffix} == deg1 | exclude
+{quadvec_suffix} == quadvec | exclude
+{gradvec_suffix} == gradvec | exclude
+
+# gmshFile = cube_hexa_2.msh
+# gmshFile = cube_hexa_2_consistent.msh
+# gmshFile = cube_hexa.msh
+gmshFile = cube_hexa_consistent.msh
+
+[wrapper.vtkcompare]
+name = {__name}
+extension = vtu
+
+[formcompiler]
+compare_l2errorsquared = 1e-4, 5e-6 | expand deg
+grid_unstructured = 1
+debug_interpolate_input = 1
+
+[formcompiler.r]
+numerical_jacobian = 0
+sumfact = 1
+fastdg = 1
+sumfact_regular_jacobians = 1
+vectorization_quadloop = 1, 0 | expand quad
+vectorization_strategy = explicit, none | expand grad
+
+[formcompiler.ufl_variants]
+degree = 1, 2 | expand deg
diff --git a/test/sumfact/poisson/square_quad.msh b/test/sumfact/poisson/square_quad.msh
new file mode 100644
index 0000000000000000000000000000000000000000..238c938a13ac7226c8c5a1e35972afc32f6c9e01
--- /dev/null
+++ b/test/sumfact/poisson/square_quad.msh
@@ -0,0 +1,760 @@
+$MeshFormat
+2.2 0 8
+$EndMeshFormat
+$Nodes
+358
+1 0 0 0
+2 1 0 0
+3 1 1 0
+4 0 1 0
+5 0.06249999999987327 0 0
+6 0.1249999999997738 0 0
+7 0.1874999999995943 0 0
+8 0.2499999999994121 0 0
+9 0.3124999999992298 0 0
+10 0.3749999999990476 0 0
+11 0.4374999999988654 0 0
+12 0.499999999998694 0 0
+13 0.5624999999988478 0 0
+14 0.6249999999990125 0 0
+15 0.687499999999177 0 0
+16 0.7499999999993416 0 0
+17 0.8124999999995062 0 0
+18 0.8749999999996708 0 0
+19 0.9374999999998354 0 0
+20 1 0.06249999999987327 0
+21 1 0.1249999999997738 0
+22 1 0.1874999999995943 0
+23 1 0.2499999999994121 0
+24 1 0.3124999999992298 0
+25 1 0.3749999999990476 0
+26 1 0.4374999999988654 0
+27 1 0.499999999998694 0
+28 1 0.5624999999988478 0
+29 1 0.6249999999990125 0
+30 1 0.687499999999177 0
+31 1 0.7499999999993416 0
+32 1 0.8124999999995062 0
+33 1 0.8749999999996708 0
+34 1 0.9374999999998354 0
+35 0.9374999999997397 1 0
+36 0.8749999999995011 1 0
+37 0.812499999999913 1 0
+38 0.7500000000003465 1 0
+39 0.68750000000078 1 0
+40 0.6250000000012137 1 0
+41 0.5625000000016472 1 0
+42 0.5000000000020591 1 0
+43 0.4375000000018207 1 0
+44 0.3750000000015605 1 0
+45 0.3125000000013005 1 0
+46 0.2500000000010404 1 0
+47 0.1875000000007803 1 0
+48 0.1250000000005203 1 0
+49 0.06250000000026013 1 0
+50 0 0.9374999999997397 0
+51 0 0.8749999999995011 0
+52 0 0.812499999999913 0
+53 0 0.7500000000003465 0
+54 0 0.68750000000078 0
+55 0 0.6250000000012137 0
+56 0 0.5625000000016472 0
+57 0 0.5000000000020591 0
+58 0 0.4375000000018207 0
+59 0 0.3750000000015605 0
+60 0 0.3125000000013005 0
+61 0 0.2500000000010404 0
+62 0 0.1875000000007803 0
+63 0 0.1250000000005203 0
+64 0 0.06250000000026013 0
+65 0.5127464108834361 0.4938075240045685 0
+66 0.7045654122206328 0.699257165189327 0
+67 0.3037025965421863 0.7148949194329823 0
+68 0.6907304616956041 0.2940327857559419 0
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