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add Lattice_basis.h
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Grid/lattice/Lattice_basis.h
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236
Grid/lattice/Lattice_basis.h
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/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./lib/lattice/Lattice_basis.h
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Copyright (C) 2015
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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Author: paboyle <paboyle@ph.ed.ac.uk>
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Author: Christoph Lehner <christoph@lhnr.de>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License along
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with this program; if not, write to the Free Software Foundation, Inc.,
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51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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See the full license in the file "LICENSE" in the top level distribution
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directory
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*************************************************************************************/
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/* END LEGAL */
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#pragma once
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NAMESPACE_BEGIN(Grid);
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template<class Field>
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void basisOrthogonalize(std::vector<Field> &basis,Field &w,int k)
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{
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// If assume basis[j] are already orthonormal,
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// can take all inner products in parallel saving 2x bandwidth
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// Save 3x bandwidth on the second line of loop.
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// perhaps 2.5x speed up.
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// 2x overall in Multigrid Lanczos
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for(int j=0; j<k; ++j){
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auto ip = innerProduct(basis[j],w);
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w = w - ip*basis[j];
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}
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}
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template<class VField, class Matrix>
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void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
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{
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typedef decltype(basis[0]) Field;
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typedef decltype(basis[0].View()) View;
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auto tmp_v = basis[0].AcceleratorView(ViewReadWrite);
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Vector<View> basis_v(basis.size(),tmp_v);
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typedef typename std::remove_reference<decltype(tmp_v[0])>::type vobj;
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GridBase* grid = basis[0].Grid();
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for(int k=0;k<basis.size();k++){
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basis_v[k] = basis[k].AcceleratorView(ViewReadWrite);
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}
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#ifndef GRID_NVCC
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thread_region
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{
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std::vector < vobj > B(Nm); // Thread private
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thread_for_in_region(ss, grid->oSites(),{
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for(int j=j0; j<j1; ++j) B[j]=0.;
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for(int j=j0; j<j1; ++j){
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for(int k=k0; k<k1; ++k){
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B[j] +=Qt(j,k) * basis_v[k][ss];
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}
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}
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for(int j=j0; j<j1; ++j){
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basis_v[j][ss] = B[j];
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}
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});
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}
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#else
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int nrot = j1-j0;
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if (!nrot) // edge case not handled gracefully by Cuda
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return;
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uint64_t oSites =grid->oSites();
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uint64_t siteBlock=(grid->oSites()+nrot-1)/nrot; // Maximum 1 additional vector overhead
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Vector <vobj> Bt(siteBlock * nrot);
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auto Bp=&Bt[0];
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// GPU readable copy of matrix
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Vector<double> Qt_jv(Nm*Nm);
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double *Qt_p = & Qt_jv[0];
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thread_for(i,Nm*Nm,{
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int j = i/Nm;
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int k = i%Nm;
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Qt_p[i]=Qt(j,k);
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});
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// Block the loop to keep storage footprint down
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for(uint64_t s=0;s<oSites;s+=siteBlock){
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// remaining work in this block
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int ssites=MIN(siteBlock,oSites-s);
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// zero out the accumulators
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accelerator_for(ss,siteBlock*nrot,vobj::Nsimd(),{
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decltype(coalescedRead(Bp[ss])) z;
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z=Zero();
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coalescedWrite(Bp[ss],z);
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});
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accelerator_for(sj,ssites*nrot,vobj::Nsimd(),{
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int j =sj%nrot;
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int jj =j0+j;
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int ss =sj/nrot;
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int sss=ss+s;
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for(int k=k0; k<k1; ++k){
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auto tmp = coalescedRead(Bp[ss*nrot+j]);
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coalescedWrite(Bp[ss*nrot+j],tmp+ Qt_p[jj*Nm+k] * coalescedRead(basis_v[k][sss]));
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}
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});
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accelerator_for(sj,ssites*nrot,vobj::Nsimd(),{
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int j =sj%nrot;
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int jj =j0+j;
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int ss =sj/nrot;
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int sss=ss+s;
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coalescedWrite(basis_v[jj][sss],coalescedRead(Bp[ss*nrot+j]));
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});
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}
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#endif
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}
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// Extract a single rotated vector
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template<class Field>
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void basisRotateJ(Field &result,std::vector<Field> &basis,Eigen::MatrixXd& Qt,int j, int k0,int k1,int Nm)
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{
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typedef decltype(basis[0].AcceleratorView()) View;
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typedef typename Field::vector_object vobj;
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GridBase* grid = basis[0].Grid();
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result.Checkerboard() = basis[0].Checkerboard();
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auto result_v=result.AcceleratorView(ViewWrite);
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Vector<View> basis_v(basis.size(),result_v);
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for(int k=0;k<basis.size();k++){
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basis_v[k] = basis[k].AcceleratorView(ViewRead);
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}
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vobj zz=Zero();
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Vector<double> Qt_jv(Nm);
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double * Qt_j = & Qt_jv[0];
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for(int k=0;k<Nm;++k) Qt_j[k]=Qt(j,k);
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accelerator_for(ss, grid->oSites(),vobj::Nsimd(),{
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auto B=coalescedRead(zz);
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for(int k=k0; k<k1; ++k){
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B +=Qt_j[k] * coalescedRead(basis_v[k][ss]);
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}
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coalescedWrite(result_v[ss], B);
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});
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}
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template<class Field>
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void basisReorderInPlace(std::vector<Field> &_v,std::vector<RealD>& sort_vals, std::vector<int>& idx)
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{
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int vlen = idx.size();
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assert(vlen>=1);
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assert(vlen<=sort_vals.size());
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assert(vlen<=_v.size());
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for (size_t i=0;i<vlen;i++) {
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if (idx[i] != i) {
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//////////////////////////////////////
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// idx[i] is a table of desired sources giving a permutation.
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// Swap v[i] with v[idx[i]].
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// Find j>i for which _vnew[j] = _vold[i],
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// track the move idx[j] => idx[i]
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// track the move idx[i] => i
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//////////////////////////////////////
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size_t j;
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for (j=i;j<idx.size();j++)
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if (idx[j]==i)
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break;
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assert(idx[i] > i); assert(j!=idx.size()); assert(idx[j]==i);
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swap(_v[i],_v[idx[i]]); // should use vector move constructor, no data copy
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std::swap(sort_vals[i],sort_vals[idx[i]]);
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idx[j] = idx[i];
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idx[i] = i;
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}
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}
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}
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inline std::vector<int> basisSortGetIndex(std::vector<RealD>& sort_vals)
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{
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std::vector<int> idx(sort_vals.size());
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std::iota(idx.begin(), idx.end(), 0);
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// sort indexes based on comparing values in v
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std::sort(idx.begin(), idx.end(), [&sort_vals](int i1, int i2) {
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return ::fabs(sort_vals[i1]) < ::fabs(sort_vals[i2]);
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});
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return idx;
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}
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template<class Field>
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void basisSortInPlace(std::vector<Field> & _v,std::vector<RealD>& sort_vals, bool reverse)
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{
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std::vector<int> idx = basisSortGetIndex(sort_vals);
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if (reverse)
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std::reverse(idx.begin(), idx.end());
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basisReorderInPlace(_v,sort_vals,idx);
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}
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// PAB: faster to compute the inner products first then fuse loops.
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// If performance critical can improve.
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template<class Field>
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void basisDeflate(const std::vector<Field> &_v,const std::vector<RealD>& eval,const Field& src_orig,Field& result) {
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result = Zero();
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assert(_v.size()==eval.size());
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int N = (int)_v.size();
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for (int i=0;i<N;i++) {
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Field& tmp = _v[i];
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axpy(result,TensorRemove(innerProduct(tmp,src_orig)) / eval[i],tmp,result);
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}
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}
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NAMESPACE_END(Grid);
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