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259 lines
10 KiB
C++
259 lines
10 KiB
C++
/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: Hadrons/Modules/MDistil/Distil.hpp
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Copyright (C) 2015-2019
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Author: Felix Erben <ferben@ed.ac.uk>
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Author: Michael Marshall <Michael.Marshall@ed.ac.uk>
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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 directory
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*************************************************************************************/
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/* END LEGAL */
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#ifndef Hadrons_MDistil_Distil_hpp_
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#define Hadrons_MDistil_Distil_hpp_
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#include <Hadrons/Global.hpp>
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#include <Hadrons/Module.hpp>
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#include <Hadrons/ModuleFactory.hpp>
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/******************************************************************************
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This potentially belongs in CartesianCommunicator
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Turns out I don't actually need this when running inside hadrons
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******************************************************************************/
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BEGIN_MODULE_NAMESPACE(Grid)
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inline void SliceShare( GridBase * gridLowDim, GridBase * gridHighDim, void * Buffer, int BufferSize )
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{
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// Work out which dimension is the spread-out dimension
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assert(gridLowDim);
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assert(gridHighDim);
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const int iNumDims{(const int)gridHighDim->_gdimensions.size()};
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assert(iNumDims == gridLowDim->_gdimensions.size());
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int dimSpreadOut = -1;
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std::vector<int> coor(iNumDims);
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for( int i = 0 ; i < iNumDims ; i++ ) {
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coor[i] = gridHighDim->_processor_coor[i];
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if( gridLowDim->_gdimensions[i] != gridHighDim->_gdimensions[i] ) {
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assert( dimSpreadOut == -1 );
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assert( gridLowDim->_processors[i] == 1 ); // easiest assumption to make for now
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dimSpreadOut = i;
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}
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}
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if( dimSpreadOut != -1 && gridHighDim->_processors[dimSpreadOut] != gridLowDim->_processors[dimSpreadOut] ) {
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// Make sure the same number of data elements exist on each slice
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const int NumSlices{gridHighDim->_processors[dimSpreadOut] / gridLowDim->_processors[dimSpreadOut]};
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assert(gridHighDim->_processors[dimSpreadOut] == gridLowDim->_processors[dimSpreadOut] * NumSlices);
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const int SliceSize{BufferSize/NumSlices};
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//CCC_DEBUG_DUMP(Buffer, NumSlices, SliceSize);
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assert(BufferSize == SliceSize * NumSlices);
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//#ifndef USE_LOCAL_SLICES
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// assert(0); // Can't do this without MPI (should really test whether MPI is defined)
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//#else
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const auto MyRank{gridHighDim->ThisRank()};
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std::vector<CommsRequest_t> reqs(0);
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int MySlice{coor[dimSpreadOut]};
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char * const _buffer{(char *)Buffer};
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char * const MyData{_buffer + MySlice * SliceSize};
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for(int i = 1; i < NumSlices ; i++ ){
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int SendSlice = ( MySlice + i ) % NumSlices;
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int RecvSlice = ( MySlice - i + NumSlices ) % NumSlices;
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char * const RecvData{_buffer + RecvSlice * SliceSize};
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coor[dimSpreadOut] = SendSlice;
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const auto SendRank{gridHighDim->RankFromProcessorCoor(coor)};
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coor[dimSpreadOut] = RecvSlice;
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const auto RecvRank{gridHighDim->RankFromProcessorCoor(coor)};
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std::cout << GridLogMessage << "Send slice " << MySlice << " (" << MyRank << ") to " << SendSlice << " (" << SendRank
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<< "), receive slice from " << RecvSlice << " (" << RecvRank << ")" << std::endl;
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gridHighDim->SendToRecvFromBegin(reqs,MyData,SendRank,RecvData,RecvRank,SliceSize);
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//memcpy(RecvData,MyData,SliceSize); // Debug
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}
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gridHighDim->SendToRecvFromComplete(reqs);
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std::cout << GridLogMessage << "Slice data shared." << std::endl;
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//CCC_DEBUG_DUMP(Buffer, NumSlices, SliceSize);
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//#endif
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}
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}
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/*************************************************************************************
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-Grad^2 (Peardon, 2009, pg 2, equation 3)
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Field Type of field the operator will be applied to
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GaugeField Gauge field the operator will smear using
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TODO CANDIDATE for integration into laplacian operator
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should just require adding number of dimensions to act on to constructor,
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where the default=all dimensions, but we could specify 3 spatial dimensions
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*************************************************************************************/
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template<typename Field, typename GaugeField=LatticeGaugeFieldD>
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class LinOpPeardonNabla : public LinearOperatorBase<Field>, public LinearFunction<Field> {
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typedef typename GaugeField::vector_type vCoeff_t;
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protected: // I don't really mind if _gf is messed with ... so make this public?
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//GaugeField & _gf;
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int nd; // number of spatial dimensions
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std::vector<Lattice<iColourMatrix<vCoeff_t> > > U;
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public:
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// Construct this operator given a gauge field and the number of dimensions it should act on
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LinOpPeardonNabla( GaugeField& gf, int dimSpatial = Grid::QCD::Tdir ) : /*_gf(gf),*/ nd{dimSpatial} {
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assert(dimSpatial>=1);
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for( int mu = 0 ; mu < nd ; mu++ )
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U.push_back(PeekIndex<LorentzIndex>(gf,mu));
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}
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// Apply this operator to "in", return result in "out"
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void operator()(const Field& in, Field& out) {
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assert( nd <= in._grid->Nd() );
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conformable( in, out );
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out = ( ( Real ) ( 2 * nd ) ) * in;
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Field _tmp(in._grid);
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typedef typename GaugeField::vector_type vCoeff_t;
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//Lattice<iColourMatrix<vCoeff_t> > U(in._grid);
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for( int mu = 0 ; mu < nd ; mu++ ) {
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//U = PeekIndex<LorentzIndex>(_gf,mu);
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out -= U[mu] * Cshift( in, mu, 1);
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_tmp = adj( U[mu] ) * in;
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out -= Cshift(_tmp,mu,-1);
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}
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}
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void OpDiag (const Field &in, Field &out) { assert(0); };
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void OpDir (const Field &in, Field &out,int dir,int disp) { assert(0); };
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void Op (const Field &in, Field &out) { assert(0); };
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void AdjOp (const Field &in, Field &out) { assert(0); };
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void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2) { assert(0); };
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void HermOp(const Field &in, Field &out) { operator()(in,out); };
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};
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template<typename Field>
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class LinOpPeardonNablaHerm : public LinearFunction<Field> {
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public:
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OperatorFunction<Field> & _poly;
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LinearOperatorBase<Field> &_Linop;
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LinOpPeardonNablaHerm(OperatorFunction<Field> & poly,LinearOperatorBase<Field>& linop) : _poly(poly), _Linop(linop) {
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}
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void operator()(const Field& in, Field& out) {
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_poly(_Linop,in,out);
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}
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};
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END_MODULE_NAMESPACE // Grid
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/******************************************************************************
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Common elements for distillation
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******************************************************************************/
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BEGIN_HADRONS_NAMESPACE
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BEGIN_MODULE_NAMESPACE(MDistil)
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typedef Grid::Hadrons::EigenPack<LatticeColourVector> DistilEP;
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typedef std::vector<std::vector<std::vector<SpinVector> > > DistilNoises;
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/******************************************************************************
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Make a lower dimensional grid
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******************************************************************************/
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inline GridCartesian * MakeLowerDimGrid( GridCartesian * gridHD )
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{
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//LOG(Message) << "MakeLowerDimGrid() begin" << std::endl;
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int nd{static_cast<int>(gridHD->_ndimension)};
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std::vector<int> latt_size = gridHD->_gdimensions;
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latt_size[nd-1] = 1;
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std::vector<int> simd_layout = GridDefaultSimd(nd-1, vComplex::Nsimd());
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simd_layout.push_back( 1 );
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std::vector<int> mpi_layout = gridHD->_processors;
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mpi_layout[nd-1] = 1;
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GridCartesian * gridLD = new GridCartesian(latt_size,simd_layout,mpi_layout,*gridHD);
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//LOG(Message) << "MakeLowerDimGrid() end" << std::endl;
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return gridLD;
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}
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/******************************************************************************
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Perambulator object
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******************************************************************************/
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template<typename Scalar_, int NumIndices_>
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class Perambulator : public Eigen::Tensor<Scalar_, NumIndices_, Eigen::RowMajor | Eigen::DontAlign>
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{
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public:
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template<typename... IndexTypes>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Perambulator(Eigen::Index firstDimension, IndexTypes... otherDimensions)
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: Eigen::Tensor<Scalar_, NumIndices_, Eigen::RowMajor | Eigen::DontAlign>(firstDimension, otherDimensions...)
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{
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// The number of dimensions used to construct a tensor must be equal to the rank of the tensor.
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EIGEN_STATIC_ASSERT(sizeof...(otherDimensions) + 1 == NumIndices_, YOU_MADE_A_PROGRAMMING_MISTAKE)
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}
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inline void WriteTemporary(const std::string &FileName){}
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// Share data for timeslices we calculated with other nodes
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inline void SliceShare( GridCartesian * gridLowDim, GridCartesian * gridHighDim ) {
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//Grid::SliceShare( gridLowDim, gridHighDim, data(), (int) (size() * sizeof(Scalar_)));
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}
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};
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/*************************************************************************************
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Rotate eigenvectors into our phase convention
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First component of first eigenvector is real and positive
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*************************************************************************************/
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inline void RotateEigen(std::vector<LatticeColourVector> & evec)
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{
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ColourVector cv0;
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auto grid = evec[0]._grid;
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std::vector<int> siteFirst(grid->Nd(),0);
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peekSite(cv0, evec[0], siteFirst);
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auto & cplx0 = cv0()()(0);
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if( std::imag(cplx0) == 0 )
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std::cout << GridLogMessage << "RotateEigen() : Site 0 : " << cplx0 << " => already meets phase convention" << std::endl;
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else {
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const auto cplx0_mag{std::abs(cplx0)};
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const auto phase{std::conj(cplx0 / cplx0_mag)};
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std::cout << GridLogMessage << "RotateEigen() : Site 0 : |" << cplx0 << "|=" << cplx0_mag << " => phase=" << (std::arg(phase) / 3.14159265) << " pi" << std::endl;
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{
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// TODO: Only really needed on the master slice
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for( int k = 0 ; k < evec.size() ; k++ )
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evec[k] *= phase;
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if(grid->IsBoss()){
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for( int c = 0 ; c < Nc ; c++ )
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cv0()()(c) *= phase;
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cplx0.imag(0); // This assumes phase convention is real, positive (so I get rid of rounding error)
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//pokeSite(cv0, evec[0], siteFirst);
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pokeLocalSite(cv0, evec[0], siteFirst);
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}
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}
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}
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}
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END_MODULE_NAMESPACE
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END_HADRONS_NAMESPACE
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#endif // Hadrons_MDistil_Distil_hpp_
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