diff options
author | Stanislaw Halik <sthalik@misaki.pl> | 2019-03-03 21:09:10 +0100 |
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committer | Stanislaw Halik <sthalik@misaki.pl> | 2019-03-03 21:10:13 +0100 |
commit | f0238cfb6997c4acfc2bd200de7295f3fa36968f (patch) | |
tree | b215183760e4f615b9c1dabc1f116383b72a1b55 /eigen/Eigen/src/SparseLU/SparseLU_kernel_bmod.h | |
parent | 543edd372a5193d04b3de9f23c176ab439e51b31 (diff) |
don't index Eigen
Diffstat (limited to 'eigen/Eigen/src/SparseLU/SparseLU_kernel_bmod.h')
-rw-r--r-- | eigen/Eigen/src/SparseLU/SparseLU_kernel_bmod.h | 130 |
1 files changed, 0 insertions, 130 deletions
diff --git a/eigen/Eigen/src/SparseLU/SparseLU_kernel_bmod.h b/eigen/Eigen/src/SparseLU/SparseLU_kernel_bmod.h deleted file mode 100644 index 8c1b3e8..0000000 --- a/eigen/Eigen/src/SparseLU/SparseLU_kernel_bmod.h +++ /dev/null @@ -1,130 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. -// -// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr> -// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr> -// -// This Source Code Form is subject to the terms of the Mozilla -// Public License v. 2.0. If a copy of the MPL was not distributed -// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. - -#ifndef SPARSELU_KERNEL_BMOD_H -#define SPARSELU_KERNEL_BMOD_H - -namespace Eigen { -namespace internal { - -template <int SegSizeAtCompileTime> struct LU_kernel_bmod -{ - /** \internal - * \brief Performs numeric block updates from a given supernode to a single column - * - * \param segsize Size of the segment (and blocks ) to use for updates - * \param[in,out] dense Packed values of the original matrix - * \param tempv temporary vector to use for updates - * \param lusup array containing the supernodes - * \param lda Leading dimension in the supernode - * \param nrow Number of rows in the rectangular part of the supernode - * \param lsub compressed row subscripts of supernodes - * \param lptr pointer to the first column of the current supernode in lsub - * \param no_zeros Number of nonzeros elements before the diagonal part of the supernode - */ - template <typename BlockScalarVector, typename ScalarVector, typename IndexVector> - static EIGEN_DONT_INLINE void run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda, - const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros); -}; - -template <int SegSizeAtCompileTime> -template <typename BlockScalarVector, typename ScalarVector, typename IndexVector> -EIGEN_DONT_INLINE void LU_kernel_bmod<SegSizeAtCompileTime>::run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda, - const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros) -{ - typedef typename ScalarVector::Scalar Scalar; - // First, copy U[*,j] segment from dense(*) to tempv(*) - // The result of triangular solve is in tempv[*]; - // The result of matric-vector update is in dense[*] - Index isub = lptr + no_zeros; - Index i; - Index irow; - for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++) - { - irow = lsub(isub); - tempv(i) = dense(irow); - ++isub; - } - // Dense triangular solve -- start effective triangle - luptr += lda * no_zeros + no_zeros; - // Form Eigen matrix and vector - Map<Matrix<Scalar,SegSizeAtCompileTime,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) ); - Map<Matrix<Scalar,SegSizeAtCompileTime,1> > u(tempv.data(), segsize); - - u = A.template triangularView<UnitLower>().solve(u); - - // Dense matrix-vector product y <-- B*x - luptr += segsize; - const Index PacketSize = internal::packet_traits<Scalar>::size; - Index ldl = internal::first_multiple(nrow, PacketSize); - Map<Matrix<Scalar,Dynamic,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) ); - Index aligned_offset = internal::first_default_aligned(tempv.data()+segsize, PacketSize); - Index aligned_with_B_offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize))%PacketSize; - Map<Matrix<Scalar,Dynamic,1>, 0, OuterStride<> > l(tempv.data()+segsize+aligned_offset+aligned_with_B_offset, nrow, OuterStride<>(ldl) ); - - l.setZero(); - internal::sparselu_gemm<Scalar>(l.rows(), l.cols(), B.cols(), B.data(), B.outerStride(), u.data(), u.outerStride(), l.data(), l.outerStride()); - - // Scatter tempv[] into SPA dense[] as a temporary storage - isub = lptr + no_zeros; - for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++) - { - irow = lsub(isub++); - dense(irow) = tempv(i); - } - - // Scatter l into SPA dense[] - for (i = 0; i < nrow; i++) - { - irow = lsub(isub++); - dense(irow) -= l(i); - } -} - -template <> struct LU_kernel_bmod<1> -{ - template <typename BlockScalarVector, typename ScalarVector, typename IndexVector> - static EIGEN_DONT_INLINE void run(const Index /*segsize*/, BlockScalarVector& dense, ScalarVector& /*tempv*/, ScalarVector& lusup, Index& luptr, - const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros); -}; - - -template <typename BlockScalarVector, typename ScalarVector, typename IndexVector> -EIGEN_DONT_INLINE void LU_kernel_bmod<1>::run(const Index /*segsize*/, BlockScalarVector& dense, ScalarVector& /*tempv*/, ScalarVector& lusup, Index& luptr, - const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros) -{ - typedef typename ScalarVector::Scalar Scalar; - typedef typename IndexVector::Scalar StorageIndex; - Scalar f = dense(lsub(lptr + no_zeros)); - luptr += lda * no_zeros + no_zeros + 1; - const Scalar* a(lusup.data() + luptr); - const StorageIndex* irow(lsub.data()+lptr + no_zeros + 1); - Index i = 0; - for (; i+1 < nrow; i+=2) - { - Index i0 = *(irow++); - Index i1 = *(irow++); - Scalar a0 = *(a++); - Scalar a1 = *(a++); - Scalar d0 = dense.coeff(i0); - Scalar d1 = dense.coeff(i1); - d0 -= f*a0; - d1 -= f*a1; - dense.coeffRef(i0) = d0; - dense.coeffRef(i1) = d1; - } - if(i<nrow) - dense.coeffRef(*(irow++)) -= f * *(a++); -} - -} // end namespace internal - -} // end namespace Eigen -#endif // SPARSELU_KERNEL_BMOD_H |