File indexing completed on 2025-04-19 09:06:43
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0011 #ifndef SPARSELU_KERNEL_BMOD_H
0012 #define SPARSELU_KERNEL_BMOD_H
0013
0014 namespace RivetEigen {
0015 namespace internal {
0016
0017 template <int SegSizeAtCompileTime> struct LU_kernel_bmod
0018 {
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0032 template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
0033 static EIGEN_DONT_INLINE void run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda,
0034 const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros);
0035 };
0036
0037 template <int SegSizeAtCompileTime>
0038 template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
0039 EIGEN_DONT_INLINE void LU_kernel_bmod<SegSizeAtCompileTime>::run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda,
0040 const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
0041 {
0042 typedef typename ScalarVector::Scalar Scalar;
0043
0044
0045
0046 Index isub = lptr + no_zeros;
0047 Index i;
0048 Index irow;
0049 for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++)
0050 {
0051 irow = lsub(isub);
0052 tempv(i) = dense(irow);
0053 ++isub;
0054 }
0055
0056 luptr += lda * no_zeros + no_zeros;
0057
0058 Map<Matrix<Scalar,SegSizeAtCompileTime,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) );
0059 Map<Matrix<Scalar,SegSizeAtCompileTime,1> > u(tempv.data(), segsize);
0060
0061 u = A.template triangularView<UnitLower>().solve(u);
0062
0063
0064 luptr += segsize;
0065 const Index PacketSize = internal::packet_traits<Scalar>::size;
0066 Index ldl = internal::first_multiple(nrow, PacketSize);
0067 Map<Matrix<Scalar,Dynamic,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) );
0068 Index aligned_offset = internal::first_default_aligned(tempv.data()+segsize, PacketSize);
0069 Index aligned_with_B_offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize))%PacketSize;
0070 Map<Matrix<Scalar,Dynamic,1>, 0, OuterStride<> > l(tempv.data()+segsize+aligned_offset+aligned_with_B_offset, nrow, OuterStride<>(ldl) );
0071
0072 l.setZero();
0073 internal::sparselu_gemm<Scalar>(l.rows(), l.cols(), B.cols(), B.data(), B.outerStride(), u.data(), u.outerStride(), l.data(), l.outerStride());
0074
0075
0076 isub = lptr + no_zeros;
0077 for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++)
0078 {
0079 irow = lsub(isub++);
0080 dense(irow) = tempv(i);
0081 }
0082
0083
0084 for (i = 0; i < nrow; i++)
0085 {
0086 irow = lsub(isub++);
0087 dense(irow) -= l(i);
0088 }
0089 }
0090
0091 template <> struct LU_kernel_bmod<1>
0092 {
0093 template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
0094 static EIGEN_DONT_INLINE void run(const Index , BlockScalarVector& dense, ScalarVector& , ScalarVector& lusup, Index& luptr,
0095 const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros);
0096 };
0097
0098
0099 template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
0100 EIGEN_DONT_INLINE void LU_kernel_bmod<1>::run(const Index , BlockScalarVector& dense, ScalarVector& , ScalarVector& lusup, Index& luptr,
0101 const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
0102 {
0103 typedef typename ScalarVector::Scalar Scalar;
0104 typedef typename IndexVector::Scalar StorageIndex;
0105 Scalar f = dense(lsub(lptr + no_zeros));
0106 luptr += lda * no_zeros + no_zeros + 1;
0107 const Scalar* a(lusup.data() + luptr);
0108 const StorageIndex* irow(lsub.data()+lptr + no_zeros + 1);
0109 Index i = 0;
0110 for (; i+1 < nrow; i+=2)
0111 {
0112 Index i0 = *(irow++);
0113 Index i1 = *(irow++);
0114 Scalar a0 = *(a++);
0115 Scalar a1 = *(a++);
0116 Scalar d0 = dense.coeff(i0);
0117 Scalar d1 = dense.coeff(i1);
0118 d0 -= f*a0;
0119 d1 -= f*a1;
0120 dense.coeffRef(i0) = d0;
0121 dense.coeffRef(i1) = d1;
0122 }
0123 if(i<nrow)
0124 dense.coeffRef(*(irow++)) -= f * *(a++);
0125 }
0126
0127 }
0128
0129 }
0130 #endif