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Merge pull request #2 from DanielRichtmann/feature/fused-innerproduct-norm2
Fused innerProduct + norm2 on first argument operation
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commit
96e8e44fd4
@ -204,8 +204,64 @@ axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Latt
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grid->GlobalSum(nrm);
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grid->GlobalSum(nrm);
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return nrm;
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return nrm;
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}
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}
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template<class vobj> strong_inline void
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innerProduct_norm(ComplexD& ip, RealD &nrm, const Lattice<vobj> &left,const Lattice<vobj> &right)
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{
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conformable(left,right);
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typedef typename vobj::scalar_type scalar_type;
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typedef typename vobj::vector_typeD vector_type;
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Vector<ComplexD> tmp(2);
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GridBase *grid = left.Grid();
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auto left_v=left.View();
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auto right_v=right.View();
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const uint64_t nsimd = grid->Nsimd();
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const uint64_t sites = grid->oSites();
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#ifdef GRID_NVCC
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// GPU
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typedef decltype(innerProduct(left_v[0],right_v[0])) inner_t;
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typedef decltype(innerProduct(left_v[0],left_v[0])) norm_t;
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Vector<inner_t> inner_tmp(sites);
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Vector<norm_t> norm_tmp(sites);
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auto inner_tmp_v = &inner_tmp[0];
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auto norm_tmp_v = &norm_tmp[0];
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accelerator_for( ss, sites, nsimd,{
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auto left_tmp = left_v(ss);
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coalescedWrite(inner_tmp_v[ss],innerProduct(left_tmp,right_v(ss)));
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coalescedWrite(norm_tmp_v[ss],innerProduct(left_tmp,left_tmp)));
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});
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tmp[0] = TensorRemove(sumD_gpu(inner_tmp_v,sites));
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tmp[1] = TensorRemove(sumD_gpu(norm_tmp_v,sites));
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#else
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// CPU
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typedef decltype(innerProductD(left_v[0],right_v[0])) inner_t;
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typedef decltype(innerProductD(left_v[0],left_v[0])) norm_t;
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Vector<inner_t> inner_tmp(sites);
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Vector<norm_t> norm_tmp(sites);
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auto inner_tmp_v = &inner_tmp[0];
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auto norm_tmp_v = &norm_tmp[0];
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accelerator_for( ss, sites, nsimd,{
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auto left_tmp = left_v(ss);
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inner_tmp_v[ss] = innerProductD(left_tmp,right_v(ss));
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norm_tmp_v[ss] = innerProductD(left_tmp,left_tmp);
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});
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// Already promoted to double
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tmp[0] = TensorRemove(sum(inner_tmp_v,sites));
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tmp[1] = TensorRemove(sum(norm_tmp_v,sites));
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#endif
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grid->GlobalSumVector(&tmp[0],2); // keep norm Complex -> can use GlobalSumVector
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ip = tmp[0];
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nrm = real(tmp[1]);
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}
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template<class Op,class T1>
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template<class Op,class T1>
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inline auto sum(const LatticeUnaryExpression<Op,T1> & expr)
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inline auto sum(const LatticeUnaryExpression<Op,T1> & expr)
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->typename decltype(expr.op.func(eval(0,expr.arg1)))::scalar_object
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->typename decltype(expr.op.func(eval(0,expr.arg1)))::scalar_object
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126
tests/Test_innerproduct_norm.cc
Normal file
126
tests/Test_innerproduct_norm.cc
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@ -0,0 +1,126 @@
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/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./tests/Test_innerproduct_norm.cc
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Copyright (C) 2015
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Author: Daniel Richtmann <daniel.richtmann@ur.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 directory
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*************************************************************************************/
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/* END LEGAL */
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#include <Grid/Grid.h>
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using namespace Grid;
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int main(int argc, char** argv) {
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Grid_init(&argc, &argv);
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const int nIter = 100;
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// clang-format off
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GridCartesian *Grid_d = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplexD::Nsimd()), GridDefaultMpi());
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GridCartesian *Grid_f = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplexF::Nsimd()), GridDefaultMpi());
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// clang-format on
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GridParallelRNG pRNG_d(Grid_d);
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GridParallelRNG pRNG_f(Grid_f);
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std::vector<int> seeds_d({1, 2, 3, 4});
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std::vector<int> seeds_f({5, 6, 7, 8});
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pRNG_d.SeedFixedIntegers(seeds_d);
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pRNG_f.SeedFixedIntegers(seeds_f);
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// clang-format off
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LatticeFermionD x_d(Grid_d); random(pRNG_d, x_d);
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LatticeFermionD y_d(Grid_d); random(pRNG_d, y_d);
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LatticeFermionF x_f(Grid_f); random(pRNG_f, x_f);
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LatticeFermionF y_f(Grid_f); random(pRNG_f, y_f);
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// clang-format on
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GridStopWatch sw_ref;
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GridStopWatch sw_res;
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{ // double precision
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ComplexD ip_d_ref, ip_d_res, diff_ip_d;
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RealD norm2_d_ref, norm2_d_res, diff_norm2_d;
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sw_ref.Reset();
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sw_ref.Start();
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for(int i = 0; i < nIter; ++i) {
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ip_d_ref = innerProduct(x_d, y_d);
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norm2_d_ref = norm2(x_d);
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}
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sw_ref.Stop();
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sw_res.Reset();
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sw_res.Start();
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for(int i = 0; i < nIter; ++i) { innerProduct_norm(ip_d_res, norm2_d_res, x_d, y_d); }
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sw_res.Stop();
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diff_ip_d = ip_d_ref - ip_d_res;
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diff_norm2_d = norm2_d_ref - norm2_d_res;
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// clang-format off
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std::cout << GridLogMessage << "Double: ip_ref = " << ip_d_ref << " ip_res = " << ip_d_res << " diff = " << diff_ip_d << std::endl;
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std::cout << GridLogMessage << "Double: norm2_ref = " << norm2_d_ref << " norm2_res = " << norm2_d_res << " diff = " << diff_norm2_d << std::endl;
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std::cout << GridLogMessage << "Double: time_ref = " << sw_ref.Elapsed() << " time_res = " << sw_res.Elapsed() << std::endl;
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// clang-format on
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assert(diff_ip_d == 0.);
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assert(diff_norm2_d == 0.);
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std::cout << GridLogMessage << "Double: all checks passed" << std::endl;
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}
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{ // single precision
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ComplexD ip_f_ref, ip_f_res, diff_ip_f;
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RealD norm2_f_ref, norm2_f_res, diff_norm2_f;
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sw_ref.Reset();
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sw_ref.Start();
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for(int i = 0; i < nIter; ++i) {
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ip_f_ref = innerProduct(x_f, y_f);
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norm2_f_ref = norm2(x_f);
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}
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sw_ref.Stop();
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sw_res.Reset();
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sw_res.Start();
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for(int i = 0; i < nIter; ++i) { innerProduct_norm(ip_f_res, norm2_f_res, x_f, y_f); }
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sw_res.Stop();
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diff_ip_f = ip_f_ref - ip_f_res;
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diff_norm2_f = norm2_f_ref - norm2_f_res;
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// clang-format off
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std::cout << GridLogMessage << "Single: ip_ref = " << ip_f_ref << " ip_res = " << ip_f_res << " diff = " << diff_ip_f << std::endl;
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std::cout << GridLogMessage << "Single: norm2_ref = " << norm2_f_ref << " norm2_res = " << norm2_f_res << " diff = " << diff_norm2_f << std::endl;
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std::cout << GridLogMessage << "Single: time_ref = " << sw_ref.Elapsed() << " time_res = " << sw_res.Elapsed() << std::endl;
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// clang-format on
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assert(diff_ip_f == 0.);
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assert(diff_norm2_f == 0.);
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std::cout << GridLogMessage << "Single: all checks passed" << std::endl;
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}
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Grid_finalize();
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}
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