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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Change int to Index type for SparseLU
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@@ -30,15 +30,16 @@ namespace internal {
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*/
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template <int SegSizeAtCompileTime> struct LU_kernel_bmod
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{
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template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
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EIGEN_DONT_INLINE static void run(const int segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, int& luptr, const int lda, const int nrow, IndexVector& lsub, const int lptr, const int no_zeros)
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template <typename BlockScalarVector, typename ScalarVector, typename IndexVector, typename Index>
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EIGEN_DONT_INLINE static void run(const int segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
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{
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typedef typename ScalarVector::Scalar Scalar;
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// First, copy U[*,j] segment from dense(*) to tempv(*)
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// The result of triangular solve is in tempv[*];
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// The result of matric-vector update is in dense[*]
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int isub = lptr + no_zeros;
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int i, irow;
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Index isub = lptr + no_zeros;
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int i;
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Index irow;
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for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++)
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{
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irow = lsub(isub);
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@@ -55,11 +56,11 @@ template <int SegSizeAtCompileTime> struct LU_kernel_bmod
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// Dense matrix-vector product y <-- B*x
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luptr += segsize;
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const int PacketSize = internal::packet_traits<Scalar>::size;
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int ldl = internal::first_multiple(nrow, PacketSize);
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const Index PacketSize = internal::packet_traits<Scalar>::size;
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Index ldl = internal::first_multiple(nrow, PacketSize);
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Map<Matrix<Scalar,Dynamic,SegSizeAtCompileTime>, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) );
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int aligned_offset = internal::first_aligned(tempv.data()+segsize, PacketSize);
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int aligned_with_B_offset = (PacketSize-internal::first_aligned(B.data(), PacketSize))%PacketSize;
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Index aligned_offset = internal::first_aligned(tempv.data()+segsize, PacketSize);
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Index aligned_with_B_offset = (PacketSize-internal::first_aligned(B.data(), PacketSize))%PacketSize;
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Map<Matrix<Scalar,Dynamic,1>, 0, OuterStride<> > l(tempv.data()+segsize+aligned_offset+aligned_with_B_offset, nrow, OuterStride<>(ldl) );
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l.setZero();
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@@ -84,20 +85,20 @@ template <int SegSizeAtCompileTime> struct LU_kernel_bmod
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template <> struct LU_kernel_bmod<1>
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{
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template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
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EIGEN_DONT_INLINE static void run(const int /*segsize*/, BlockScalarVector& dense, ScalarVector& /*tempv*/, ScalarVector& lusup, int& luptr, const int lda, const int nrow,
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IndexVector& lsub, const int lptr, const int no_zeros)
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template <typename BlockScalarVector, typename ScalarVector, typename IndexVector, typename Index>
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EIGEN_DONT_INLINE static void run(const int /*segsize*/, BlockScalarVector& dense, ScalarVector& /*tempv*/, ScalarVector& lusup, Index& luptr, const Index lda, const Index nrow,
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IndexVector& lsub, const Index lptr, const Index no_zeros)
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{
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typedef typename ScalarVector::Scalar Scalar;
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Scalar f = dense(lsub(lptr + no_zeros));
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luptr += lda * no_zeros + no_zeros + 1;
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const Scalar* a(lusup.data() + luptr);
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const typename IndexVector::Scalar* irow(lsub.data()+lptr + no_zeros + 1);
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int i = 0;
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const /*typename IndexVector::Scalar*/Index* irow(lsub.data()+lptr + no_zeros + 1);
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Index i = 0;
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for (; i+1 < nrow; i+=2)
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{
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int i0 = *(irow++);
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int i1 = *(irow++);
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Index i0 = *(irow++);
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Index i1 = *(irow++);
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Scalar a0 = *(a++);
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Scalar a1 = *(a++);
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Scalar d0 = dense.coeff(i0);
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