Using struct specialization to select MKL Householder QR in Eigen
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513b5fd8d6
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@ -251,20 +251,23 @@ void householder_qr_inplace_unblocked(MatrixQR& mat, HCoeffs& hCoeffs, typename
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}
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/** \internal */
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template<typename MatrixQR, typename HCoeffs>
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void householder_qr_inplace_blocked(MatrixQR& mat, HCoeffs& hCoeffs,
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template<typename MatrixQR, typename HCoeffs, typename Scalar = MatrixQR::Scalar>
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struct householder_qr_inplace_blocked
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{
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// This is specialized for MKL-supported Scalar types in HouseholderQR_MKL.h
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static void run(MatrixQR& mat, HCoeffs& hCoeffs,
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typename MatrixQR::Index maxBlockSize=32,
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typename MatrixQR::Scalar* tempData = 0)
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{
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{
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typedef typename MatrixQR::Index Index;
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typedef typename MatrixQR::Scalar Scalar;
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typedef Block<MatrixQR,Dynamic,Dynamic> BlockType;
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typedef Block<MatrixQR, Dynamic, Dynamic> BlockType;
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Index rows = mat.rows();
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Index cols = mat.cols();
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Index size = (std::min)(rows, cols);
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typedef Matrix<Scalar,Dynamic,1,ColMajor,MatrixQR::MaxColsAtCompileTime,1> TempType;
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typedef Matrix<Scalar, Dynamic, 1, ColMajor, MatrixQR::MaxColsAtCompileTime, 1> TempType;
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TempType tempVector;
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if(tempData==0)
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{
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@ -272,12 +275,12 @@ void householder_qr_inplace_blocked(MatrixQR& mat, HCoeffs& hCoeffs,
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tempData = tempVector.data();
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}
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Index blockSize = (std::min)(maxBlockSize,size);
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Index blockSize = (std::min)(maxBlockSize, size);
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Index k = 0;
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for (k = 0; k < size; k += blockSize)
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for(k = 0; k < size; k += blockSize)
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{
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Index bs = (std::min)(size-k,blockSize); // actual size of the block
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Index bs = (std::min)(size-k, blockSize); // actual size of the block
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Index tcols = cols - k - bs; // trailing columns
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Index brows = rows-k; // rows of the block
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@ -289,18 +292,19 @@ void householder_qr_inplace_blocked(MatrixQR& mat, HCoeffs& hCoeffs,
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// and update [A21^T A22^T]^T using level 3 operations.
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// Finally, the algorithm continue on A22
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BlockType A11_21 = mat.block(k,k,brows,bs);
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Block<HCoeffs,Dynamic,1> hCoeffsSegment = hCoeffs.segment(k,bs);
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BlockType A11_21 = mat.block(k, k, brows, bs);
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Block<HCoeffs, Dynamic, 1> hCoeffsSegment = hCoeffs.segment(k, bs);
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householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
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if(tcols)
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{
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BlockType A21_22 = mat.block(k,k+bs,brows,tcols);
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apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment.adjoint());
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BlockType A21_22 = mat.block(k, k+bs, brows, tcols);
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apply_block_householder_on_the_left(A21_22, A11_21, hCoeffsSegment.adjoint());
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}
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}
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}
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}
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};
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template<typename _MatrixType, typename Rhs>
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struct solve_retval<HouseholderQR<_MatrixType>, Rhs>
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@ -352,7 +356,7 @@ HouseholderQR<MatrixType>& HouseholderQR<MatrixType>::compute(const MatrixType&
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m_temp.resize(cols);
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internal::householder_qr_inplace_blocked(m_qr, m_hCoeffs, 48, m_temp.data());
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internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
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m_isInitialized = true;
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return *this;
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@ -38,24 +38,26 @@
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namespace Eigen {
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namespace internal {
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namespace internal {
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/** \internal Specialization for the data types supported by MKL */
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/** \internal Specialization for the data types supported by MKL */
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#define EIGEN_MKL_QR_NOPIV(EIGTYPE, MKLTYPE, MKLPREFIX) \
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template<typename MatrixQR, typename HCoeffs> \
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void householder_qr_inplace_blocked(MatrixQR& mat, HCoeffs& hCoeffs, \
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typename MatrixQR::Index maxBlockSize=32, \
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EIGTYPE* tempData = 0) \
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struct householder_qr_inplace_blocked<MatrixQR, HCoeffs, EIGTYPE> \
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{ \
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static void run(MatrixQR& mat, HCoeffs& hCoeffs, \
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typename MatrixQR::Index = 32, \
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typename MatrixQR::Scalar* = 0) \
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{ \
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lapack_int m = (lapack_int) mat.rows(); \
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lapack_int n = (lapack_int) mat.cols(); \
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lapack_int lda = (lapack_int) mat.outerStride(); \
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lapack_int matrix_order = (MatrixQR::IsRowMajor) ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \
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LAPACKE_##MKLPREFIX##geqrf( matrix_order, m, n, (MKLTYPE*)mat.data(), lda, (MKLTYPE*)hCoeffs.data()); \
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hCoeffs.adjointInPlace(); \
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\
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}
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} \
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};
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EIGEN_MKL_QR_NOPIV(double, double, d)
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EIGEN_MKL_QR_NOPIV(float, float, s)
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@ -336,7 +336,7 @@ void inplace_QR(MATRIX& A) {
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HCoeffsType hCoeffs(size);
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RowVectorType temp(cols);
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Eigen::internal::householder_qr_inplace_blocked(A, hCoeffs, 48, temp.data());
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Eigen::internal::householder_qr_inplace_blocked<MATRIX, HCoeffsType>::run(A, hCoeffs, 48, temp.data());
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zeroBelowDiagonal(A);
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}
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