Fix dynamic allocation in JacobiSVD (regression)

(grafted from 30c849669d6d29f6e19484478639ec5176c1826a
)
This commit is contained in:
Gael Guennebaud 2014-12-08 14:45:04 +01:00
parent 97812ad0d3
commit e0f390793c

View File

@ -762,6 +762,7 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
internal::qr_preconditioner_impl<MatrixType, QRPreconditioner, internal::PreconditionIfMoreColsThanRows> m_qr_precond_morecols;
internal::qr_preconditioner_impl<MatrixType, QRPreconditioner, internal::PreconditionIfMoreRowsThanCols> m_qr_precond_morerows;
MatrixType m_scaledMatrix;
};
template<typename MatrixType, int QRPreconditioner>
@ -808,8 +809,9 @@ void JacobiSVD<MatrixType, QRPreconditioner>::allocate(Index rows, Index cols, u
: 0);
m_workMatrix.resize(m_diagSize, m_diagSize);
if(m_cols>m_rows) m_qr_precond_morecols.allocate(*this);
if(m_rows>m_cols) m_qr_precond_morerows.allocate(*this);
if(m_cols>m_rows) m_qr_precond_morecols.allocate(*this);
if(m_rows>m_cols) m_qr_precond_morerows.allocate(*this);
if(m_cols!=m_cols) m_scaledMatrix.resize(rows,cols);
}
template<typename MatrixType, int QRPreconditioner>
@ -832,7 +834,13 @@ JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType& matrix, unsig
/*** step 1. The R-SVD step: we use a QR decomposition to reduce to the case of a square matrix */
if(!m_qr_precond_morecols.run(*this, matrix/scale) && !m_qr_precond_morerows.run(*this, matrix/scale))
if(m_rows!=m_cols)
{
m_scaledMatrix = matrix / scale;
m_qr_precond_morecols.run(*this, m_scaledMatrix);
m_qr_precond_morerows.run(*this, m_scaledMatrix);
}
else
{
m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows);