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python_solve.cpp
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#ifdef NGS_PYTHON
#include "../ngstd/python_ngstd.hpp"
#include<pybind11/numpy.h>
#include<pybind11/stl_bind.h>
#include<pybind11/stl.h>
#include <solve.hpp>
#include "../fem/tpintrule.hpp"
using namespace ngsolve;
typedef GridFunction GF;
void ExportVisFunctions(py::module &m);
void NGS_DLL_HEADER ExportNgsolve(py::module &m ) {
m.def ("__Cleanup", []()
{
GetPreconditionerClasses().Cleanup();
}
);
m.def ("Tcl_Eval", &Ng_TclCmd);
m.def ("Draw", [](shared_ptr<CoefficientFunction> cf, shared_ptr<MeshAccess> ma, string name,
int sd, bool autoscale, double min, double max,
bool draw_vol, bool draw_surf, bool reset, string title, string number_format, string unit, py::kwargs kwargs)
{
if (cf == nullptr)
throw Exception("In Draw: invalid object to draw");
if (reset)
{
Ng_TclCmd ("set ::visoptions.deformation 0;\n");
Ng_TclCmd ("Ng_Vis_Set parameters;\n");
Ng_ClearSolutionData();
}
ma->SelectMesh();
netgen::SolutionData * vis;
if(dynamic_cast<ProlongateCoefficientFunction *>(cf.get()))
{
shared_ptr<CoefficientFunction> wrapper(new ProlongateCoefficientFunctionVisualization(*static_cast<ProlongateCoefficientFunction *>(cf.get())));
vis = new VisualizeCoefficientFunction (ma, wrapper);
}
else
vis = new VisualizeCoefficientFunction (ma, cf);
Ng_SolutionData soldata;
Ng_InitSolutionData (&soldata);
soldata.name = name;
soldata.title = title;
soldata.number_format = number_format;
soldata.unit = unit;
soldata.data = 0;
soldata.components = cf -> Dimension();
if (cf->IsComplex()) soldata.components *= 2;
soldata.iscomplex = cf -> IsComplex();
soldata.draw_surface = draw_surf;
soldata.draw_volume = draw_vol;
if(kwargs.contains("surfaces"))
soldata.draw_surfaces = py::cast<shared_ptr<BitArray>>(kwargs["surfaces"]);
if(kwargs.contains("volumes"))
soldata.draw_volumes = py::cast<shared_ptr<BitArray>>(kwargs["volumes"]);
/*
if (flags.GetDefineFlag("volume"))
soldata.draw_surface = false;
if (flags.GetDefineFlag("boundary"))
soldata.draw_volume = false;
*/
soldata.dist = 1;
soldata.soltype = NG_SOLUTION_VIRTUAL_FUNCTION;
soldata.solclass = vis;
Ng_SetSolutionData (&soldata);
if (cf->Dimension() == 1)
Ng_TclCmd (string("set ::visoptions.scalfunction \"")+name+":1\";\n");
else
if (cf->Dimension() == 3 || cf->Dimension() == ma->GetDimension())
Ng_TclCmd (string("set ::visoptions.vecfunction \"")+name+"\";\n");
Ng_TclCmd (string("set ::visoptions.subdivisions ")+ToString(sd)+";\n");
Ng_TclCmd ("set ::visoptions.autoscale "+ToString(autoscale)+";\n");
if(!autoscale){
Ng_TclCmd ("set ::visoptions.mminval "+ToString(min)+";\n");
Ng_TclCmd ("set ::visoptions.mmaxval "+ToString(max)+";\n");
}
Ng_TclCmd ("Ng_Vis_Set parameters;\n");
Ng_TclCmd ("set ::selectvisual solution;\n");
},
py::arg("cf"),py::arg("mesh"),py::arg("name"),
py::arg("sd")=2,py::arg("autoscale")=true,
py::arg("min")=0.0,py::arg("max")=1.0,
py::arg("draw_vol")=true,
py::arg("draw_surf")=true,
py::arg("reset")=false,
py::arg("title")="",
py::arg("number_format")="%.3e",
py::arg("unit")="",
docu_string(R"raw_string(
Parameters:
cf : ngsolve.comp.CoefficientFunction
input CoefficientFunction to draw
mesh : ngsolve.comp.Mesh
input mesh
name : string
input name
sd : int
input subdivisions
autoscale : bool
input autscale
min : float
input minimum value. Need autoscale = false
max : float
input maximum value. Need autoscale = false
draw_vol : bool
input draw volume
draw_surf : bool
input draw surface
title : string
printed on top of colormap
number_format : string
printf-style format string for numbers under colormap
unit : string
string (ASCII only) to print after maximum value of colormap
)raw_string")
);
m.def ("Draw",
[](shared_ptr<GridFunction> gf, int sd, bool autoscale, double min, double max, py::kwargs kwargs)
{
// cout << "in draw" << endl;
// cout << "gf in draw = " << *gf << endl;
// cout << "dims of gf = " << gf->Dimensions() << endl;
gf->GetFESpace()->GetMeshAccess()->SelectMesh();
// Visualize (gf, gf->GetName());
// netgen::SolutionData * vis = new VisualizeCoefficientFunction (gf->GetMeshAccess(), gf);
auto gfcf = make_shared<GridFunctionCoefficientFunction> (gf);
netgen::SolutionData * vis = new VisualizeCoefficientFunction (gf->GetFESpace()->GetMeshAccess(), gfcf);
Ng_SolutionData soldata;
Ng_InitSolutionData (&soldata);
soldata.name = gf->GetName().c_str();
soldata.data = 0;
soldata.components = gf -> Dimension();
if (gf->IsComplex()) soldata.components *= 2;
soldata.iscomplex = gf -> IsComplex();
soldata.draw_surface = true; // draw_surf;
soldata.draw_volume = true; // draw_vol;
/*
if (flags.GetDefineFlag("volume"))
soldata.draw_surface = false;
if (flags.GetDefineFlag("boundary"))
soldata.draw_volume = false;
*/
soldata.dist = 1;
soldata.soltype = NG_SOLUTION_VIRTUAL_FUNCTION;
soldata.solclass = vis;
Ng_SetSolutionData (&soldata);
if (gf->Dimension() == 1)
Ng_TclCmd (string("set ::visoptions.scalfunction ")+gf->GetName()+":1;\n");
else
Ng_TclCmd (string("set ::visoptions.vecfunction ")+gf->GetName()+";\n");
Ng_TclCmd (string("set ::visoptions.subdivisions ")+ToString(sd)+";\n");
Ng_TclCmd ("set ::visoptions.autoscale "+ToString(autoscale)+";\n");
if(!autoscale){
Ng_TclCmd ("set ::visoptions.mminval "+ToString(min)+";\n");
Ng_TclCmd ("set ::visoptions.mmaxval "+ToString(max)+";\n");
}
Ng_TclCmd ("Ng_Vis_Set parameters;\n");
Ng_TclCmd ("set ::selectvisual solution;\n");
},
py::arg("gf"),py::arg("sd")=2,py::arg("autoscale")=true,
py::arg("min")=0.0,py::arg("max")=1.0, docu_string(R"raw_string(
Parameters:
gf : ngsolve.comp.GridFunction
input GridFunction to draw
sd : int
input subdivisions
autoscale : bool
input autscale
min : float
input minimum value. Need autoscale = false
max : float
input maximum value. Need autoscale = false
)raw_string")
);
m.def ("Draw",[](shared_ptr<MeshAccess> mesh, py::kwargs kwargs)
{
mesh->SelectMesh();
Ng_TclCmd ("set ::selectvisual mesh;\n");
}, py::arg("mesh")
);
// Draw other objects (for example geometries)
m.def("Draw",[](py::object obj) { obj.attr("Draw")(); });
m.def("SetVisualization",
[](optional<bool> deformation, optional<double> min, optional<double> max,
optional<py::tuple> clipnormal, optional<bool> clipping)
{
bool need_redraw = false;
if (deformation)
{
Ng_TclCmd ("set ::visoptions.deformation "+ToString(*deformation)+";\n");
Ng_TclCmd ("Ng_Vis_Set parameters;\n");
need_redraw = true;
}
if (min)
{
Ng_TclCmd ("set ::visoptions.autoscale 0\n");
Ng_TclCmd ("set ::visoptions.mminval "+ToString(*min)+";\n");
Ng_TclCmd ("Ng_Vis_Set parameters;\n");
need_redraw = true;
}
if (max)
{
Ng_TclCmd ("set ::visoptions.autoscale 0\n");
Ng_TclCmd ("set ::visoptions.mmaxval "+ToString(*max)+";\n");
Ng_TclCmd ("Ng_Vis_Set parameters;\n");
need_redraw = true;
}
if (clipnormal)
{
py::tuple norm = *clipnormal;
if (py::len(norm)==3)
{
// cout << "setting clipping normal" << endl;
// tclstring << "set ::viewoptions.clipping.enable 1" << endl
Ng_TclCmd ("set ::viewoptions.clipping.nx "+ToString(py::extract<double>(norm[0])())+";\n");
Ng_TclCmd ("set ::viewoptions.clipping.ny "+ToString(py::extract<double>(norm[1])())+";\n");
Ng_TclCmd ("set ::viewoptions.clipping.nz "+ToString(py::extract<double>(norm[2])())+";\n");
// << "set ::viewoptions.clipping.dist " << clipdist << endl;
need_redraw = true;
}
}
if (clipping)
{
Ng_TclCmd ("set ::viewoptions.clipping.enable "+ToString(int(*clipping))+";\n");
Ng_TclCmd ("Ng_SetVisParameters");
need_redraw = true;
}
if (need_redraw)
Ng_Redraw(true);
},
py::arg("deformation")=nullopt,
py::arg("min")=nullopt,
py::arg("max")=nullopt,
py::arg("clipnormal")=nullopt,
py::arg("clipping")=nullopt, docu_string(R"raw_string(
Set visualization options
Parameters:
deformation : object
input deformation
min : object
input min
max : object
input max
clipnormal : object
input clipnormal
clipping : object
input clipping
)raw_string")
)
;
ExportVisFunctions(m);
}
//////////////////////////////////////////////////////////////////////////////
// Utility functions for visualization
//////////////////////////////////////////////////////////////////////////////
template <typename TSCAL>
static void ExtractRealImag(const TSCAL val, int i, float &real, float &imag);
template<> void ExtractRealImag(const SIMD<Complex> val, int i, float &real, float &imag) {
real = val.real()[i];
imag = val.imag()[i];
}
template<> void ExtractRealImag(const Complex val, int i, float &real, float &imag) {
real = val.real();
imag = val.imag();
}
template<> void ExtractRealImag(const SIMD<double> val, int i, float &real, float &imag) { real = val[i]; }
template<> void ExtractRealImag(const double val, int i, float &real, float &imag) { real = val; }
template<typename TSCAL, typename TMIR>
static void GetValues( const CoefficientFunction &cf, LocalHeap &lh, TMIR &mir, FlatArray<float> values_real, FlatArray<float> values_imag , FlatArray<float> min, FlatArray<float> max, bool covariant=false) {
static_assert( is_same<TSCAL, SIMD<double>>::value || is_same<TSCAL, SIMD<Complex>>::value || is_same<TSCAL, double>::value || is_same<TSCAL, Complex>::value, "Unsupported type in GetValues");
HeapReset hr(lh);
auto ncomps = cf.Dimension();
int nip = mir.IR().GetNIP();
auto getIndex = [=] ( int p, int comp ) { return p*ncomps + comp; };
constexpr bool is_complex = is_same<TSCAL, SIMD<Complex>>::value || is_same<TSCAL, Complex>::value;
constexpr bool is_simd = is_same<TSCAL, SIMD<double>>::value || is_same<TSCAL, SIMD<Complex>>::value;
if constexpr(is_simd)
{
FlatMatrix<TSCAL> values(ncomps, mir.Size(), lh);
cf.Evaluate(mir, values);
if constexpr(!is_complex)
if(covariant) {
mir.TransformGradientTrans(values);
}
constexpr int n = SIMD<double>::Size();
for (auto k : Range(nip)) {
for (auto i : Range(ncomps)) {
float vreal = 0.0;
float vimag = 0.0;
ExtractRealImag( values(i, k/n), k%n, vreal, vimag );
auto index = getIndex(k,i);
values_real[index] = vreal;
if(is_complex) {
values_imag[index] = vimag;
min[i] = min2(min[i], sqrt(vreal*vreal+vimag+vimag));
max[i] = max2(max[i], sqrt(vreal*vreal+vimag+vimag));
}
else {
min[i] = min2(min[i], vreal);
max[i] = max2(max[i], vreal);
}
}
}
}
else
{
FlatMatrix<TSCAL> values(mir.Size(), ncomps, lh);
cf.Evaluate(mir, values);
if(covariant) {
VectorMem<4,TSCAL> val(ncomps);
for (auto k : Range(nip)) {
val = values.Row(k);
Mat<3,3,double> m = mir[k].GetJacobian();
CalcInverse(m);
values.Row(k) = m*val;
}
}
for (auto k : Range(nip)) {
for (auto i : Range(ncomps)) {
float vreal = 0.0;
float vimag = 0.0;
ExtractRealImag( values(k,i), 0, vreal, vimag );
auto index = getIndex(k,i);
values_real[index] = vreal;
if(is_complex) {
values_imag[index] = vimag;
min[i] = min2(min[i], sqrt(vreal*vreal+vimag+vimag));
max[i] = max2(max[i], sqrt(vreal*vreal+vimag+vimag));
}
else {
min[i] = min2(min[i], vreal);
max[i] = max2(max[i], vreal);
}
}
}
}
}
template<int S, int R>
static BaseMappedIntegrationRule &T_GetMappedIR (IntegrationRule & ir, ElementTransformation & eltrans, LocalHeap &lh ) {
void *p = lh.Alloc(sizeof(MappedIntegrationRule<S,R>));
return *new (p) MappedIntegrationRule<S,R> (ir, eltrans, lh);
}
template<int S, int R>
static SIMD_BaseMappedIntegrationRule &T_GetMappedIR (SIMD_IntegrationRule & ir, ElementTransformation & eltrans, LocalHeap &lh ) {
void *p = lh.Alloc(sizeof(SIMD_MappedIntegrationRule<S,R>));
return *new (p) SIMD_MappedIntegrationRule<S,R> (ir, eltrans, lh);
}
template<typename TIR>
static auto &GetMappedIR (shared_ptr<MeshAccess> ma, Ngs_Element &el, TIR & ir, LocalHeap &lh ) {
ElementTransformation & eltrans = ma->GetTrafo (el, lh);
const int dim = ma->GetDimension();
const auto vb = el.VB();
if(dim==1) {
if(vb==VOL) return T_GetMappedIR<1,1>(ir, eltrans, lh);
}
if(dim==2) {
if(vb==BND) return T_GetMappedIR<1,2>(ir, eltrans, lh);
if(vb==VOL) return T_GetMappedIR<2,2>(ir, eltrans, lh);
}
if(dim==3) {
if(vb==BBND) return T_GetMappedIR<1,3>(ir, eltrans, lh);
if(vb==BND) return T_GetMappedIR<2,3>(ir, eltrans, lh);
if(vb==VOL) return T_GetMappedIR<3,3>(ir, eltrans, lh);
}
throw Exception("GetMappedIR: unknown dimension/VorB combination: " + ToString(vb) + ","+ToString(dim));
}
void ExportVisFunctions(py::module &m) {
m.def("_GetVisualizationData", [] (shared_ptr<ngcomp::MeshAccess> ma, map<ngfem::ELEMENT_TYPE, IntegrationRule> irs) {
struct ElementInformation {
ElementInformation( ngfem::ELEMENT_TYPE type_, bool curved_=false)
: type(type_), curved(curved_), nelements(0) { }
Array<int> data; // the data that will go into the gpu texture buffer
ngfem::ELEMENT_TYPE type;
bool curved;
int nelements;
};
auto getVB = [](int codim) {
switch(codim) {
case 0: return VOL;
case 1: return BND;
case 2: return BBND;
case 3: return BBBND;
default: throw Exception("invalid codim");
}
};
Vector<> min(3);
min = std::numeric_limits<double>::max();
Vector<> max(3);
max = std::numeric_limits<double>::lowest();
ngstd::Array<float> vertices;
vertices.SetAllocSize(ma->GetNV()*3);
for ( auto vi : Range(ma->GetNV()) ) {
auto v = ma->GetPoint<3>(vi);
for (auto i : Range(3)) {
vertices.Append(v[i]);
min[i] = min2(min[i], v[i]);
max[i] = max2(max[i], v[i]);
}
}
LocalHeap lh(1000000, "GetMeshData");
auto toDict = [] (ElementInformation &ei) {
py::dict res;
res["data"] = py::cast(ei.data);
res["type"] = py::cast(ei.type);
res["curved"] = py::cast(ei.curved);
res["nelements"] = py::cast(ei.nelements);
return res;
};
const int dim = ma->GetDimension();
std::map<VorB, py::list> element_data;
ElementInformation points(ET_POINT);
points.nelements = ma->GetNE(getVB(dim));
points.data.SetAllocSize(points.nelements);
for(auto el : ma->Elements(getVB(dim)))
points.data.Append(el.vertices[0]);
element_data[getVB(dim)].append(toDict(points));
ElementInformation edges(ET_SEGM);
if(dim>=2) {
// collect edges
edges.nelements = ma->GetNEdges();
edges.data.SetAllocSize(edges.nelements*4);
// Edges of mesh (skip this for dim==1, in this case edges are treated as volume elements below)
for (auto nr : Range(ma->GetNEdges())) {
auto pair = ma->GetEdgePNums(nr);
edges.data.Append({int(nr), int(-1), int(pair[0]), int(pair[1])});
}
}
ElementInformation periodic_vertices(ET_SEGM);
int n_periodic_vertices = ma->GetNPeriodicNodes(NT_VERTEX);
periodic_vertices.nelements = n_periodic_vertices;
periodic_vertices.data.SetAllocSize(periodic_vertices.nelements*4);
for(auto idnr : Range(ma->GetNPeriodicIdentifications()))
for (const auto& pair : ma->GetPeriodicNodes(NT_VERTEX, idnr))
periodic_vertices.data.Append({idnr, -1, pair[0],pair[1]});
if(dim>=1) {
ElementInformation edges[2] = { {ET_SEGM}, {ET_SEGM, true } };
// 1d Elements
VorB vb = getVB(dim-1);
for (auto el : ma->Elements(vb)) {
auto verts = el.Vertices();
auto &ei = edges[el.is_curved];
ei.nelements++;
ei.data.Append({int(el.Nr()), int(el.GetIndex()), int(verts[0]), int(verts[1])});
if(el.is_curved) {
ei.data.Append(vertices.Size()/3);
HeapReset hr(lh);
IntegrationRule &ir = irs[el.GetType()];
auto & mir = GetMappedIR(ma, el, ir, lh);
// normals of corner vertices
for ([[maybe_unused]] auto j : ngcomp::Range(2)) {
for ([[maybe_unused]] auto i : Range(3))
vertices.Append(0.0);
}
// mapped coordinates of midpoint (for P2 interpolation)
auto p = mir[2].GetPoint();
for (auto i : Range(p.Size()))
vertices.Append(p[i]);
for ([[maybe_unused]] auto i : IntRange(p.Size(),3ULL))
vertices.Append(0.0);
}
}
if(edges[0].nelements>0) element_data[vb].append(toDict(edges[0]));
if(edges[1].nelements>0) element_data[vb].append(toDict(edges[1]));
}
if(dim>=2) {
// 2d Elements
ElementInformation trigs[2] = { {ET_TRIG}, {ET_TRIG, true } };
ElementInformation quads[2] = { {ET_QUAD}, {ET_QUAD, true } };
VorB vb = getVB(dim-2);
for (auto el : ma->Elements(vb)) {
auto verts = el.Vertices();
auto nverts = verts.Size();
auto &ei = (nverts==3) ? trigs[el.is_curved] : quads[el.is_curved];
ei.nelements++;
ei.data.Append(el.Nr());
ei.data.Append(el.GetIndex());
for (auto i : Range(nverts))
ei.data.Append(verts[i]);
if(el.is_curved) {
ei.data.Append(vertices.Size()/3);
HeapReset hr(lh);
IntegrationRule &ir = irs[el.GetType()];
auto & mir = GetMappedIR(ma, el, ir, lh);
// normals of corner vertices
for (auto j : ngcomp::Range(nverts)) {
Vec<3> n(0,0,1);
if(vb==BND)
n = static_cast<DimMappedIntegrationPoint<3>&>(mir[j]).GetNV();
for (auto i : Range(3))
vertices.Append(n[i]);
}
// mapped coordinates of edge midpoints (for P2 interpolation)
for (auto j : ngcomp::Range(nverts,ir.Size())) {
auto p = mir[j].GetPoint();
for (auto i : Range(p.Size()))
vertices.Append(p[i]);
for ([[maybe_unused]] auto i : IntRange(p.Size(),3ULL))
vertices.Append(0.0);
}
}
}
for (auto i : Range(2)) {
if(trigs[i].data.Size()) element_data[vb].append(toDict(trigs[i]));
if(quads[i].data.Size()) element_data[vb].append(toDict(quads[i]));
}
}
if(dim==3) {
ElementInformation tets[2] = { {ET_TET}, {ET_TET, true } };
ElementInformation pyramids[2] = { {ET_PYRAMID}, {ET_PYRAMID, true } };
ElementInformation prisms[2] = { {ET_PRISM}, {ET_PRISM, true } };
ElementInformation hexes[2] = { {ET_HEX}, {ET_HEX, true } };
Array<int> types_and_numbering;
for (auto el : ma->Elements(VOL)) {
auto verts = el.Vertices();
auto nverts = verts.Size();
ElementInformation * pei;
IntegrationRule &ir = irs[el.GetType()];
switch(nverts) {
case 4: pei = tets; break;
case 5: pei = pyramids; break;
case 6: pei = prisms; break;
case 8: pei = hexes; break;
default:
throw Exception("GetMeshData(): unknown element");
}
ElementInformation &ei = pei[el.is_curved];
types_and_numbering.Append(2*nverts+el.is_curved);
types_and_numbering.Append(ei.nelements);
ei.nelements++;
ei.data.Append(el.Nr());
ei.data.Append(el.GetIndex());
for (auto v : verts)
ei.data.Append(v);
const auto & faces = el.Faces();
ArrayMem<int, 10> neighbors (faces.Size());
neighbors = -1;
for (auto fi : Range(faces)) {
auto f = faces[fi];
ArrayMem<int, 2> els;
ma->GetFaceElements(f, els);
for (auto other : els)
if(other != el.Nr())
neighbors[fi] = other;
}
for (auto n : neighbors)
ei.data.Append(n);
if(el.is_curved) {
ei.data.Append(vertices.Size()/3);
HeapReset hr(lh);
if(ir.Size()>0)
{
auto & mir = GetMappedIR(ma, el, ir, lh);
// mapped coordinates of edge midpoints (for P2 interpolation)
for (auto &ip : mir) {
auto p = ip.GetPoint();
for (auto i : Range(3))
vertices.Append(p[i]);
}
}
}
}
element_data[VOL].append(types_and_numbering);
for (auto i : Range(2)) {
if(tets[i].data.Size()) element_data[VOL].append(toDict(tets[i]));
if(pyramids[i].data.Size()) element_data[VOL].append(toDict(pyramids[i]));
if(prisms[i].data.Size()) element_data[VOL].append(toDict(prisms[i]));
if(hexes[i].data.Size()) element_data[VOL].append(toDict(hexes[i]));
}
}
py::list facet_data;
if (dim > 1)
{
// facet data
ElementInformation segms[2] = {{ET_SEGM}, {ET_SEGM, true}};
ElementInformation trigs[2] = {{ET_TRIG}, {ET_TRIG, true}};
ElementInformation quads[2] = {{ET_QUAD}, {ET_QUAD, true}};
auto nf = ma->GetNFacets();
BitArray fine_facet(nf);
fine_facet.Clear();
for(auto el : ma->Elements(VOL))
for(auto fnr : ma->GetElFacets(el))
fine_facet.SetBit(fnr);
Array<int> pnrs;
for(auto fnr : Range(ma->GetNFacets()))
{
if(!fine_facet[fnr]) continue;
ma->GetFacetPNums(fnr, pnrs);
// trigs
ElementInformation* type;
if(ma->GetDimension()==2)
type = segms;
else
{
if(pnrs.Size() == 3)
type = trigs;
else
type = quads;
}
// TODO: curved facets
auto& ei = type[false];
ei.nelements++;
ei.data.Append(fnr);
ei.data.Append(fnr);
for(auto p : pnrs)
ei.data.Append(p);
}
for(auto i : Range(2)){
if (segms[i].data.Size()) facet_data.append(toDict(segms[i]));
if (trigs[i].data.Size()) facet_data.append(toDict(trigs[i]));
if (quads[i].data.Size()) facet_data.append(toDict(quads[i]));
}
}
py::dict py_eldata;
py_eldata["facets"] = facet_data;
py::list py_edges;
py_edges.append(toDict(edges));
py_eldata["edges"] = py_edges;
py::list py_periodic_vertices;
py_periodic_vertices.append(toDict(periodic_vertices));
py_eldata["periodic"] = py_periodic_vertices;
py::object bbbnd = py::cast(BBBND);
py_eldata[py::cast(BBND)] = element_data[BBBND];
py_eldata[py::cast(BBND)] = element_data[BBND];
py_eldata[py::cast(BND)] = element_data[BND];
py_eldata[py::cast(VOL)] = element_data[VOL];
py_eldata["min"] = min;
py_eldata["max"] = max;
py_eldata["vertices"] = MoveToNumpyArray(vertices);
return py_eldata;
});
m.def("_GetFacetValues", [](shared_ptr<ngfem::CoefficientFunction> cf, shared_ptr<ngcomp::MeshAccess> ma,
map<ngfem::ELEMENT_TYPE, IntegrationRule> irs)
{
auto tm = task_manager;
task_manager = nullptr;
LocalHeap lh(10000000, "GetFacetValues");
int ncomps = cf->Dimension();
typedef std::pair<ngfem::ELEMENT_TYPE,bool> T_ET;
map<T_ET, Array<float>> values_real;
map<T_ET, Array<float>> values_imag;
Array<float> min(ncomps);
Array<float> max(ncomps);
min = std::numeric_limits<float>::max();
max = std::numeric_limits<float>::lowest();
auto nf = ma->GetNFacets();
BitArray fine_facet(nf);
fine_facet.Clear();
for(auto el : ma->Elements(VOL))
for(auto fnr : ma->GetElFacets(el))
fine_facet.SetBit(fnr);
// position of facet in result array
Array<int> position(nf);
map<ngfem::ELEMENT_TYPE, int> count;
position = -1;
for(auto fnr : Range(ma->GetNFacets()))
if(fine_facet[fnr])
position[fnr] = count[ma->GetFacetType(fnr)]++;
for(auto et : irs)
{
values_real[T_ET{et.first,false}].SetSize(count[et.first] * et.second.GetNIP() * ncomps);
if(cf->IsComplex())
values_imag[T_ET{et.first,false}].SetSize(count[et.first] * et.second.GetNIP() * ncomps);
}
//bool use_simd = false;
ma->IterateElements(VOL, lh, [&](auto el, LocalHeap& mlh)
{
FlatArray<float> min_local(ncomps, mlh);
FlatArray<float> max_local(ncomps, mlh);
min_local = std::numeric_limits<float>::max();
max_local = std::numeric_limits<float>::lowest();
auto curved = el.is_curved;
auto fnrs = ma->GetElFacets(el);
Facet2ElementTrafo transform(el.GetType(), el.Vertices());
auto& trafo = ma->GetTrafo(el,mlh);
for(auto i : Range(ElementTopology::GetNFacets(el.GetType())))
{
auto eltype = ma->GetFacetType(fnrs[i]);
auto& vals_real = values_real[T_ET{eltype, curved}];
auto& vals_imag = values_imag[T_ET{eltype, curved}];
auto& ir_facet = transform(i, irs[eltype], mlh);
auto nip = ir_facet.GetNIP();
for(auto j : Range(nip))
ir_facet[j].SetFacetNr(i);
int values_per_element = nip * ncomps;
size_t first = position[fnrs[i]] * values_per_element;
size_t next = first + values_per_element;
auto& mir = trafo(ir_facet, mlh);
if(cf->IsComplex())
GetValues<Complex>( *cf, mlh, mir, vals_real.Range(first,next),
vals_imag.Range(first,next), min_local, max_local);
else
GetValues<double>( *cf, mlh, mir, vals_real.Range(first,next),
vals_imag, min_local, max_local);
for(auto i : Range(ncomps))
{
float expected = min[i];
while (min_local[i] < expected)
AsAtomic(min[i]).compare_exchange_weak(expected,
min_local[i],
std::memory_order_relaxed,
std::memory_order_relaxed);
expected = max[i];
while (max_local[i] > expected)
AsAtomic(max[i]).compare_exchange_weak(expected, max_local[i],
std::memory_order_relaxed,
std::memory_order_relaxed);
}
}
});
py::gil_scoped_acquire ac;
py::dict res_real, res_imag;
for(auto &p : irs)
{
auto et = p.first;
for(auto curved : {true, false})
{
if(values_real[T_ET{et, curved}].Size())
res_real[py::make_tuple(et, curved)] = MoveToNumpyArray(values_real[T_ET{et,curved}]);
if(values_imag[T_ET{et, curved}].Size())
res_imag[py::make_tuple(et, curved)] = MoveToNumpyArray(values_imag[T_ET{et, curved}]);
}
}
py::dict result;
result["min"] = MoveToNumpyArray(min);
result["max"] = MoveToNumpyArray(max);
result["real"] = res_real;
result["imag"] = res_imag;
task_manager=tm;
return result;
}, py::call_guard<py::gil_scoped_release>());
m.def("_GetValues", [] (shared_ptr<ngfem::CoefficientFunction> cf, shared_ptr<ngcomp::MeshAccess> ma, VorB vb, map<ngfem::ELEMENT_TYPE, IntegrationRule> irs, bool covariant) {
auto tm = task_manager;
task_manager = nullptr;
LocalHeap lh(10000000, "GetValues");
// int dim = ma->GetDimension();
// if(vb==BND) dim-=1;
map<ngfem::ELEMENT_TYPE, SIMD_IntegrationRule> simd_irs;
for (auto & p : irs ) {
simd_irs[p.first] = p.second;
}
typedef std::pair<ngfem::ELEMENT_TYPE,bool> T_ET;
map<T_ET, Array<float>> values_real;
map<T_ET, Array<float>> values_imag;
int ncomps = cf->Dimension();
Array<float> min(ncomps);
Array<float> max(ncomps);
min = std::numeric_limits<float>::max();
max = std::numeric_limits<float>::lowest();
map<T_ET, std::atomic<int>> element_counter;
map<T_ET, std::atomic<int>> element_index;
for (auto et : {ET_POINT, ET_SEGM, ET_TRIG, ET_QUAD, ET_TET, ET_PRISM, ET_PYRAMID, ET_HEX}) {
for (auto curved : {false, true}) {
element_counter[T_ET{et,curved}] = 0;
element_index[T_ET{et,curved}] = 0;
}
}
ma->IterateElements(vb, lh,[&](auto el, LocalHeap& mlh) {
auto et = el.GetType();
element_counter[T_ET{et,el.is_curved}]++;
});
bool use_simd = true;
ma->IterateElements(vb, lh,[&](auto el, LocalHeap& mlh) {
FlatArray<float> min_local(ncomps, mlh);
FlatArray<float> max_local(ncomps, mlh);
min_local = std::numeric_limits<float>::max();
max_local = std::numeric_limits<float>::lowest();
auto curved = el.is_curved;
auto et = el.GetType();
auto & ir = irs[et];
auto & simd_ir = simd_irs[et];
auto &vals_real = values_real[T_ET{et,curved}];
auto &vals_imag = values_imag[T_ET{et,curved}];
int nip = irs[et].GetNIP();
int values_per_element = nip*ncomps;
size_t first = vals_real.Size();
size_t next = first + values_per_element;
vals_real.SetSize(next);
if(cf->IsComplex()) vals_imag.SetSize(next);
if(use_simd)
{
try
{
auto & mir = GetMappedIR(ma, el, simd_ir, mlh);
if(cf->IsComplex())
GetValues<SIMD<Complex>>( *cf, mlh, mir, vals_real.Range(first,next), vals_imag.Range(first,next), min_local, max_local, covariant);
else
GetValues<SIMD<double>>( *cf, mlh, mir, vals_real.Range(first,next), vals_imag, min_local, max_local, covariant);
}
catch(const ExceptionNOSIMD& e)
{
use_simd = false;
}
}
if(!use_simd)
{
auto & mir = GetMappedIR(ma, el, ir, mlh);
if(cf->IsComplex())
GetValues<Complex>( *cf, mlh, mir, vals_real.Range(first,next), vals_imag.Range(first,next), min_local, max_local, covariant);
else
GetValues<double>( *cf, mlh, mir, vals_real.Range(first,next), vals_imag, min_local, max_local, covariant);
}
for (auto i : Range(ncomps)) {
float expected = min[i];
while (min_local[i] < expected)
AsAtomic(min[i]).compare_exchange_weak(expected, min_local[i], std::memory_order_relaxed, std::memory_order_relaxed);
expected = max[i];
while (max_local[i] > expected)
AsAtomic(max[i]).compare_exchange_weak(expected, max_local[i], std::memory_order_relaxed, std::memory_order_relaxed);
}
});
py::gil_scoped_acquire ac;
py::dict res_real;
py::dict res_imag;
for (auto &p : irs) {
auto et = p.first;
for (auto curved : {false, true}) {
if (values_real[T_ET{et,curved}].Size()>0) {
res_real[py::make_tuple(et,curved)] = MoveToNumpyArray(values_real[T_ET{et,curved}]);
if(cf->IsComplex())
res_imag[py::make_tuple(et,curved)] = MoveToNumpyArray(values_imag[T_ET{et,curved}]);
}
}
}
py::dict res;
res["min"] = MoveToNumpyArray(min);
res["max"] = MoveToNumpyArray(max);
res["real"] = res_real;
res["imag"] = res_imag;
task_manager = tm;
return res;
},py::call_guard<py::gil_scoped_release>());
m.def("_SetLocale", []()
{
setlocale(LC_NUMERIC,"C");
});
}
#endif