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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
fully vectorize DiagonalProduct
(it used to be partially vectorized and that had been lost in the big changes from the previous commit)
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@@ -23,7 +23,7 @@
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "main.h"
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using namespace std;
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template<typename MatrixType> void diagonalmatrices(const MatrixType& m)
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{
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typedef typename MatrixType::Scalar Scalar;
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@@ -34,7 +34,7 @@ template<typename MatrixType> void diagonalmatrices(const MatrixType& m)
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typedef Matrix<Scalar, Rows, Rows> SquareMatrixType;
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typedef DiagonalMatrix<Scalar, Rows> LeftDiagonalMatrix;
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typedef DiagonalMatrix<Scalar, Cols> RightDiagonalMatrix;
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typedef Matrix<Scalar, Rows==Dynamic?Dynamic:2*Rows, Cols==Dynamic?Dynamic:2*Cols> BigMatrix;
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int rows = m.rows();
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int cols = m.cols();
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@@ -46,20 +46,7 @@ template<typename MatrixType> void diagonalmatrices(const MatrixType& m)
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rv2 = RowVectorType::Random(cols);
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LeftDiagonalMatrix ldm1(v1), ldm2(v2);
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RightDiagonalMatrix rdm1(rv1), rdm2(rv2);
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int i = ei_random<int>(0, rows-1);
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int j = ei_random<int>(0, cols-1);
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VERIFY_IS_APPROX( ((ldm1 * m1)(i,j)) , ldm1.diagonal()(i) * m1(i,j) );
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VERIFY_IS_APPROX( ((ldm1 * (m1+m2))(i,j)) , ldm1.diagonal()(i) * (m1+m2)(i,j) );
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VERIFY_IS_APPROX( ((m1 * rdm1)(i,j)) , rdm1.diagonal()(j) * m1(i,j) );
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VERIFY_IS_APPROX( ((v1.asDiagonal() * m1)(i,j)) , v1(i) * m1(i,j) );
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VERIFY_IS_APPROX( ((m1 * rv1.asDiagonal())(i,j)) , rv1(j) * m1(i,j) );
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VERIFY_IS_APPROX( (((v1+v2).asDiagonal() * m1)(i,j)) , (v1+v2)(i) * m1(i,j) );
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VERIFY_IS_APPROX( (((v1+v2).asDiagonal() * (m1+m2))(i,j)) , (v1+v2)(i) * (m1+m2)(i,j) );
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VERIFY_IS_APPROX( ((m1 * (rv1+rv2).asDiagonal())(i,j)) , (rv1+rv2)(j) * m1(i,j) );
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VERIFY_IS_APPROX( (((m1+m2) * (rv1+rv2).asDiagonal())(i,j)) , (rv1+rv2)(j) * (m1+m2)(i,j) );
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SquareMatrixType sq_m1 (v1.asDiagonal());
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VERIFY_IS_APPROX(sq_m1, v1.asDiagonal().toDenseMatrix());
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sq_m1 = v1.asDiagonal();
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@@ -77,6 +64,32 @@ template<typename MatrixType> void diagonalmatrices(const MatrixType& m)
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VERIFY_IS_APPROX(sq_m1, ldm1.toDenseMatrix());
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sq_m1.transpose() = ldm1;
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VERIFY_IS_APPROX(sq_m1, ldm1.toDenseMatrix());
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int i = ei_random<int>(0, rows-1);
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int j = ei_random<int>(0, cols-1);
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VERIFY_IS_APPROX( ((ldm1 * m1)(i,j)) , ldm1.diagonal()(i) * m1(i,j) );
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VERIFY_IS_APPROX( ((ldm1 * (m1+m2))(i,j)) , ldm1.diagonal()(i) * (m1+m2)(i,j) );
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VERIFY_IS_APPROX( ((m1 * rdm1)(i,j)) , rdm1.diagonal()(j) * m1(i,j) );
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VERIFY_IS_APPROX( ((v1.asDiagonal() * m1)(i,j)) , v1(i) * m1(i,j) );
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VERIFY_IS_APPROX( ((m1 * rv1.asDiagonal())(i,j)) , rv1(j) * m1(i,j) );
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VERIFY_IS_APPROX( (((v1+v2).asDiagonal() * m1)(i,j)) , (v1+v2)(i) * m1(i,j) );
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VERIFY_IS_APPROX( (((v1+v2).asDiagonal() * (m1+m2))(i,j)) , (v1+v2)(i) * (m1+m2)(i,j) );
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VERIFY_IS_APPROX( ((m1 * (rv1+rv2).asDiagonal())(i,j)) , (rv1+rv2)(j) * m1(i,j) );
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VERIFY_IS_APPROX( (((m1+m2) * (rv1+rv2).asDiagonal())(i,j)) , (rv1+rv2)(j) * (m1+m2)(i,j) );
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BigMatrix big;
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big.setZero(2*rows, 2*cols);
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big.block(i,j,rows,cols) = m1;
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big.block(i,j,rows,cols) = v1.asDiagonal() * big.block(i,j,rows,cols);
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VERIFY_IS_APPROX((big.block(i,j,rows,cols)) , v1.asDiagonal() * m1 );
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big.block(i,j,rows,cols) = m1;
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big.block(i,j,rows,cols) = big.block(i,j,rows,cols) * rv1.asDiagonal();
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VERIFY_IS_APPROX((big.block(i,j,rows,cols)) , m1 * rv1.asDiagonal() );
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}
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void test_diagonalmatrices()
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