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/*****************************************************************************
*
* Copyright (c) 2003-2020 by The University of Queensland
* http://www.uq.edu.au
*
* Primary Business: Queensland, Australia
* Licensed under the Apache License, version 2.0
* http://www.apache.org/licenses/LICENSE-2.0
*
* Development until 2012 by Earth Systems Science Computational Center (ESSCC)
* Development 2012-2013 by School of Earth Sciences
* Development from 2014-2017 by Centre for Geoscience Computing (GeoComp)
* Development from 2019 by School of Earth and Environmental Sciences
**
*****************************************************************************/
/****************************************************************************
Assemblage of jacobians: calculates the gradient of nodal data at
quadrature points
*****************************************************************************/
#include "Assemble.h"
#include "Util.h"
#include <escript/index.h>
namespace finley {
template<typename Scalar>
void Assemble_gradient(const NodeFile* nodes, const ElementFile* elements,
escript::Data& out, const escript::Data& data)
{
if (!nodes || !elements)
return;
const int numComps = data.getDataPointSize();
const int NN = elements->numNodes;
const bool reducedOrder = util::hasReducedIntegrationOrder(out);
const int dataType = data.getFunctionSpace().getTypeCode();
bool reducedShapefunction = false;
dim_t numNodes = 0;
if (dataType == FINLEY_NODES) {
numNodes = nodes->getNumNodes();
} else if (dataType == FINLEY_REDUCED_NODES) {
reducedShapefunction = true;
numNodes = nodes->getNumReducedNodes();
} else if (dataType == FINLEY_DEGREES_OF_FREEDOM) {
if (elements->MPIInfo->size > 1) {
throw escript::ValueError("Assemble_gradient: for more than one processor DEGREES_OF_FREEDOM data are not accepted as input.");
}
numNodes = nodes->getNumDegreesOfFreedom();
} else if (dataType == FINLEY_REDUCED_DEGREES_OF_FREEDOM) {
if (elements->MPIInfo->size > 1) {
throw escript::ValueError("Assemble_gradient: for more than one processor REDUCED_DEGREES_OF_FREEDOM data are not accepted as input.");
}
reducedShapefunction = true;
numNodes = nodes->getNumReducedDegreesOfFreedom();
} else {
throw escript::ValueError("Assemble_gradient: Cannot calculate gradient of data because of unsuitable input data representation.");
}
ElementFile_Jacobians* jac = elements->borrowJacobians(nodes,
reducedShapefunction, reducedOrder);
const_ReferenceElement_ptr refElement(elements->referenceElementSet->
borrowReferenceElement(reducedOrder));
const int numDim = jac->numDim;
const int numShapes = jac->BasisFunctions->Type->numShapes;
const int numShapesTotal = jac->numShapesTotal;
const int numSub = jac->numSub;
const int numQuad = jac->numQuadTotal/numSub;
int numShapesTotal2 = 0;
int s_offset = 0;
const int* nodes_selector = NULL;
const int gradDataType = out.getFunctionSpace().getTypeCode();
if (gradDataType==FINLEY_CONTACT_ELEMENTS_2 || gradDataType==FINLEY_REDUCED_CONTACT_ELEMENTS_2) {
s_offset = jac->offsets[1];
} else {
s_offset = jac->offsets[0];
}
if (dataType==FINLEY_REDUCED_NODES || dataType==FINLEY_REDUCED_DEGREES_OF_FREEDOM) {
nodes_selector = refElement->Type->linearNodes;
numShapesTotal2 = refElement->LinearBasisFunctions->Type->numShapes * refElement->Type->numSides;
} else {
nodes_selector = refElement->Type->subElementNodes;
numShapesTotal2 = refElement->BasisFunctions->Type->numShapes * refElement->Type->numSides;
}
// check the dimensions of data
if (!out.numSamplesEqual(numQuad*numSub, elements->numElements)) {
throw escript::ValueError("Assemble_gradient: illegal number of samples in gradient Data object");
} else if (!data.numSamplesEqual(1, numNodes)) {
throw escript::ValueError("Assemble_gradient: illegal number of samples of input Data object");
} else if (numDim * numComps != out.getDataPointSize()) {
throw escript::ValueError("Assemble_gradient: illegal number of components in gradient data object.");
} else if (!out.actsExpanded()) {
throw escript::ValueError("Assemble_gradient: expanded Data object is expected for output data.");
} else if (!(s_offset+numShapes <= numShapesTotal)) {
throw escript::ValueError("Assemble_gradient: nodes per element is inconsistent with number of jacobians.");
}
const Scalar zero = static_cast<Scalar>(0);
const size_t localGradSize = numDim*numQuad*numSub*numComps;
out.requireWrite();
#pragma omp parallel
{
if (dataType == FINLEY_NODES) {
if (numDim == 1) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(n, zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l, 0, q, isub, numComps, numDim, numQuad)] +=
data_array[l] * jac->DSDX[INDEX5
(s_offset+s, 0, q, isub, e, numShapesTotal, numDim, numQuad, numSub)];
}
}
}
}
}
} else if (numDim == 2) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(n, zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,1,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,1,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
} else if (numDim == 3) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(n, zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,1,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,1,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,2,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,2,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
}
} else if (dataType == FINLEY_REDUCED_NODES) {
const index_t* target = nodes->borrowTargetReducedNodes();
if (numDim == 1) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(target[n], zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
} else if (numDim==2) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(target[n], zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,1,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,1,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
} else if (numDim==3) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(target[n], zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps;l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,1,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,1,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,2,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,2,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
}
} else if (dataType==FINLEY_DEGREES_OF_FREEDOM) {
const index_t* target = nodes->borrowTargetDegreesOfFreedom();
if (numDim==1) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(target[n], zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
} else if (numDim==2) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(target[n], zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,1,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,1,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
} else if (numDim==3) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(target[n], zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,1,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,1,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,2,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,2,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
}
} else if (dataType==FINLEY_REDUCED_DEGREES_OF_FREEDOM) {
const index_t* target = nodes->borrowTargetReducedDegreesOfFreedom();
if (numDim==1) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(target[n], zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
} else if (numDim==2) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(target[n], zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,1,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,1,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
} else if (numDim==3) {
#pragma omp for
for (index_t e = 0; e < elements->numElements; e++) {
Scalar* gradData_e = out.getSampleDataRW(e, zero);
std::fill(gradData_e, gradData_e+localGradSize, zero);
for (int isub = 0; isub < numSub; isub++) {
for (int s = 0; s < numShapes; s++) {
const index_t n = elements->Nodes[INDEX2(nodes_selector[INDEX2(s_offset+s,isub,numShapesTotal2)],e, NN)];
const Scalar* data_array = data.getSampleDataRO(target[n], zero);
for (int q = 0; q < numQuad; q++) {
#pragma ivdep
for (int l = 0; l < numComps; l++) {
gradData_e[INDEX4(l,0,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,0,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,1,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,1,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
gradData_e[INDEX4(l,2,q,isub,numComps,numDim,numQuad)] += data_array[l]*jac->DSDX[INDEX5(s_offset+s,2,q,isub,e,numShapesTotal,numDim,numQuad,numSub)];
}
}
}
}
}
} // numDim
} // dataType
} // end parallel region
}
// instantiate our two supported versions
template void Assemble_gradient<escript::DataTypes::real_t>(
const NodeFile* nodes, const ElementFile* elements,
escript::Data& out, const escript::Data& data);
template void Assemble_gradient<escript::DataTypes::cplx_t>(
const NodeFile* nodes, const ElementFile* elements,
escript::Data& out, const escript::Data& data);
} // namespace finley
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