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@ -740,8 +740,8 @@ struct SparseLUMatrixUReturnType : internal::no_assignment_operator
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}
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else
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{
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Map<const Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(m_mapL.valuePtr()[luptr]), nsupc, nsupc, OuterStride<>(lda) );
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Map< Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > U (&(X(fsupc,0)), nsupc, nrhs, OuterStride<>(n) );
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Map<const Matrix<Scalar,Dynamic,Dynamic, ColMajor>, 0, OuterStride<> > A( &(m_mapL.valuePtr()[luptr]), nsupc, nsupc, OuterStride<>(lda) );
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Map< Matrix<Scalar,Dynamic,Dynamic, ColMajor>, 0, OuterStride<> > U (&(X(fsupc,0)), nsupc, nrhs, OuterStride<>(n) );
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U = A.template triangularView<Upper>().solve(U);
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}
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@ -22,6 +22,8 @@ class SparseLUImpl
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public:
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typedef Matrix<Scalar,Dynamic,1> ScalarVector;
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typedef Matrix<StorageIndex,Dynamic,1> IndexVector;
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typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> ScalarMatrix;
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typedef Map<ScalarMatrix, 0, OuterStride<> > MappedMatrixBlock;
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typedef typename ScalarVector::RealScalar RealScalar;
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typedef Ref<Matrix<Scalar,Dynamic,1> > BlockScalarVector;
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typedef Ref<Matrix<StorageIndex,Dynamic,1> > BlockIndexVector;
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@ -239,7 +239,7 @@ void MappedSuperNodalMatrix<Scalar,Index_>::solveInPlace( MatrixBase<Dest>&X) co
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Index n = int(X.rows());
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Index nrhs = Index(X.cols());
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const Scalar * Lval = valuePtr(); // Nonzero values
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Matrix<Scalar,Dynamic,Dynamic> work(n, nrhs); // working vector
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Matrix<Scalar,Dynamic,Dynamic, ColMajor> work(n, nrhs); // working vector
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work.setZero();
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for (Index k = 0; k <= nsuper(); k ++)
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{
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@ -270,12 +270,12 @@ void MappedSuperNodalMatrix<Scalar,Index_>::solveInPlace( MatrixBase<Dest>&X) co
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Index lda = colIndexPtr()[fsupc+1] - luptr;
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// Triangular solve
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Map<const Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(Lval[luptr]), nsupc, nsupc, OuterStride<>(lda) );
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Map<const Matrix<Scalar,Dynamic,Dynamic, ColMajor>, 0, OuterStride<> > A( &(Lval[luptr]), nsupc, nsupc, OuterStride<>(lda) );
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Map< Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > U (&(X(fsupc,0)), nsupc, nrhs, OuterStride<>(n) );
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U = A.template triangularView<UnitLower>().solve(U);
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// Matrix-vector product
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new (&A) Map<const Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > ( &(Lval[luptr+nsupc]), nrow, nsupc, OuterStride<>(lda) );
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new (&A) Map<const Matrix<Scalar,Dynamic,Dynamic, ColMajor>, 0, OuterStride<> > ( &(Lval[luptr+nsupc]), nrow, nsupc, OuterStride<>(lda) );
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work.block(0, 0, nrow, nrhs) = A * U;
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//Begin Scatter
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@ -163,11 +163,11 @@ Index SparseLUImpl<Scalar,StorageIndex>::column_bmod(const Index jcol, const Ind
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// points to the beginning of jcol in snode L\U(jsupno)
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ufirst = glu.xlusup(jcol) + d_fsupc;
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Index lda = glu.xlusup(jcol+1) - glu.xlusup(jcol);
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Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A( &(glu.lusup.data()[luptr]), nsupc, nsupc, OuterStride<>(lda) );
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MappedMatrixBlock A( &(glu.lusup.data()[luptr]), nsupc, nsupc, OuterStride<>(lda) );
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VectorBlock<ScalarVector> u(glu.lusup, ufirst, nsupc);
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u = A.template triangularView<UnitLower>().solve(u);
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new (&A) Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > ( &(glu.lusup.data()[luptr+nsupc]), nrow, nsupc, OuterStride<>(lda) );
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new (&A) MappedMatrixBlock ( &(glu.lusup.data()[luptr+nsupc]), nrow, nsupc, OuterStride<>(lda) );
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VectorBlock<ScalarVector> l(glu.lusup, ufirst+nsupc, nrow);
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l.noalias() -= A * u;
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@ -56,7 +56,7 @@ EIGEN_DONT_INLINE void LU_kernel_bmod<SegSizeAtCompileTime>::run(const Index seg
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// Dense triangular solve -- start effective triangle
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luptr += lda * no_zeros + no_zeros;
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// Form Eigen matrix and vector
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Map<Matrix<Scalar,SegSizeAtCompileTime,SegSizeAtCompileTime>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) );
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Map<Matrix<Scalar,SegSizeAtCompileTime,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) );
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Map<Matrix<Scalar,SegSizeAtCompileTime,1> > u(tempv.data(), segsize);
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u = A.template triangularView<UnitLower>().solve(u);
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@ -65,7 +65,7 @@ EIGEN_DONT_INLINE void LU_kernel_bmod<SegSizeAtCompileTime>::run(const Index seg
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luptr += segsize;
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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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Map<Matrix<Scalar,Dynamic,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) );
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Index aligned_offset = internal::first_default_aligned(tempv.data()+segsize, PacketSize);
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Index aligned_with_B_offset = (PacketSize-internal::first_default_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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@ -102,7 +102,7 @@ void SparseLUImpl<Scalar,StorageIndex>::panel_bmod(const Index m, const Index w,
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if(nsupc >= 2)
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{
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Index ldu = internal::first_multiple<Index>(u_rows, PacketSize);
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Map<Matrix<Scalar,Dynamic,Dynamic>, Aligned, OuterStride<> > U(tempv.data(), u_rows, u_cols, OuterStride<>(ldu));
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Map<ScalarMatrix, Aligned, OuterStride<> > U(tempv.data(), u_rows, u_cols, OuterStride<>(ldu));
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// gather U
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Index u_col = 0;
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@ -136,17 +136,17 @@ void SparseLUImpl<Scalar,StorageIndex>::panel_bmod(const Index m, const Index w,
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Index lda = glu.xlusup(fsupc+1) - glu.xlusup(fsupc);
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no_zeros = (krep - u_rows + 1) - fsupc;
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luptr += lda * no_zeros + no_zeros;
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Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > A(glu.lusup.data()+luptr, u_rows, u_rows, OuterStride<>(lda) );
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MappedMatrixBlock A(glu.lusup.data()+luptr, u_rows, u_rows, OuterStride<>(lda) );
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U = A.template triangularView<UnitLower>().solve(U);
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// update
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luptr += u_rows;
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Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > B(glu.lusup.data()+luptr, nrow, u_rows, OuterStride<>(lda) );
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MappedMatrixBlock B(glu.lusup.data()+luptr, nrow, u_rows, OuterStride<>(lda) );
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eigen_assert(tempv.size()>w*ldu + nrow*w + 1);
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Index ldl = internal::first_multiple<Index>(nrow, PacketSize);
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Index offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize)) % PacketSize;
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Map<Matrix<Scalar,Dynamic,Dynamic>, 0, OuterStride<> > L(tempv.data()+w*ldu+offset, nrow, u_cols, OuterStride<>(ldl));
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MappedMatrixBlock L(tempv.data()+w*ldu+offset, nrow, u_cols, OuterStride<>(ldl));
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L.setZero();
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internal::sparselu_gemm<Scalar>(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride());
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