bug #449: add SparseMatrix::conservativeResize feature

This commit is contained in:
Benjamin Piwowarski 2012-07-19 00:07:06 +02:00
parent 3f08a6a126
commit 6bf49ceac2
2 changed files with 109 additions and 11 deletions

View File

@ -286,7 +286,8 @@ class SparseMatrix
{
std::size_t totalReserveSize = 0;
// turn the matrix into non-compressed mode
m_innerNonZeros = new Index[m_outerSize];
m_innerNonZeros = static_cast<Index*>(std::malloc(m_outerSize * sizeof(Index)));
if (!m_innerNonZeros) internal::throw_std_bad_alloc();
// temporarily use m_innerSizes to hold the new starting points.
Index* newOuterIndex = m_innerNonZeros;
@ -318,7 +319,9 @@ class SparseMatrix
}
else
{
Index* newOuterIndex = new Index[m_outerSize+1];
Index* newOuterIndex = static_cast<Index*>(std::malloc((m_outerSize+1)*sizeof(Index)));
if (!newOuterIndex) internal::throw_std_bad_alloc();
Index count = 0;
for(Index j=0; j<m_outerSize; ++j)
{
@ -345,7 +348,7 @@ class SparseMatrix
}
std::swap(m_outerIndex, newOuterIndex);
delete[] newOuterIndex;
std::free(newOuterIndex);
}
}
@ -460,7 +463,7 @@ class SparseMatrix
m_outerIndex[j+1] = m_outerIndex[j] + m_innerNonZeros[j];
oldStart = nextOldStart;
}
delete[] m_innerNonZeros;
std::free(m_innerNonZeros);
m_innerNonZeros = 0;
m_data.resize(m_outerIndex[m_outerSize]);
m_data.squeeze();
@ -506,6 +509,64 @@ class SparseMatrix
m_data.resize(k,0);
}
/** Resizes the matrix to a \a rows x \a cols matrix leaving old values untouched.
* \sa resizeNonZeros(Index), reserve(), setZero()
*/
void conservativeResize(Index rows, Index cols)
{
// No change
if (this->rows() == rows && this->cols() == cols) return;
Index innerChange = IsRowMajor ? cols - this->cols() : rows - this->rows();
Index outerChange = IsRowMajor ? rows - this->rows() : cols - this->cols();
Index newInnerSize = IsRowMajor ? cols : rows;
// Deals with inner non zeros
if (m_innerNonZeros)
{
// Resize m_innerNonZeros
Index *newInnerNonZeros = static_cast<Index*>(std::realloc(m_innerNonZeros, (m_outerSize + outerChange) * sizeof(Index)));
if (!newInnerNonZeros) internal::throw_std_bad_alloc();
m_innerNonZeros = newInnerNonZeros;
for(Index i=m_outerSize; i<m_outerSize+outerChange; i++)
m_innerNonZeros[i] = 0;
}
else if (innerChange < 0)
{
// Inner size decreased: allocate a new m_innerNonZeros
m_innerNonZeros = static_cast<Index*>(std::malloc((m_outerSize+outerChange+1) * sizeof(Index)));
if (!m_innerNonZeros) internal::throw_std_bad_alloc();
for(Index i = 0; i < m_outerSize; i++)
m_innerNonZeros[i] = m_outerIndex[i+1] - m_outerIndex[i];
}
// Change the m_innerNonZeros in case of a decrease of inner size
if (m_innerNonZeros && innerChange < 0) {
for(Index i = 0; i<m_outerSize; i++)
{
Index &n = m_innerNonZeros[i];
Index start = m_outerIndex[i];
while (n >= 0 && m_data.index(start+n-1) >= newInnerSize) --n;
}
}
m_innerSize = newInnerSize;
// Re-allocate outer index structure if necessary
if (outerChange == 0)
return;
Index *newOuterIndex = static_cast<Index*>(std::realloc(m_outerIndex, (m_outerSize + outerChange + 1) * sizeof(Index)));
if (!newOuterIndex) internal::throw_std_bad_alloc();
m_outerIndex = newOuterIndex;
Index last = m_outerSize == 0 ? 0 : m_outerIndex[m_outerSize];
for(Index i=m_outerSize; i<m_outerSize+outerChange+1; i++)
m_outerIndex[i] = last;
m_outerSize += outerChange;
}
/** Resizes the matrix to a \a rows x \a cols matrix and initializes it to zero.
* \sa resizeNonZeros(Index), reserve(), setZero()
*/
@ -516,13 +577,15 @@ class SparseMatrix
m_data.clear();
if (m_outerSize != outerSize || m_outerSize==0)
{
delete[] m_outerIndex;
m_outerIndex = new Index [outerSize+1];
std::free(m_outerIndex);
m_outerIndex = static_cast<Index*>(std::malloc((outerSize + 1) * sizeof(Index)));
if (!m_outerIndex) internal::throw_std_bad_alloc();
m_outerSize = outerSize;
}
if(m_innerNonZeros)
{
delete[] m_innerNonZeros;
std::free(m_innerNonZeros);
m_innerNonZeros = 0;
}
memset(m_outerIndex, 0, (m_outerSize+1)*sizeof(Index));
@ -714,8 +777,8 @@ class SparseMatrix
/** Destructor */
inline ~SparseMatrix()
{
delete[] m_outerIndex;
delete[] m_innerNonZeros;
std::free(m_outerIndex);
std::free(m_innerNonZeros);
}
#ifndef EIGEN_PARSED_BY_DOXYGEN
@ -735,7 +798,7 @@ protected:
resize(other.rows(), other.cols());
if(m_innerNonZeros)
{
delete[] m_innerNonZeros;
std::free(m_innerNonZeros);
m_innerNonZeros = 0;
}
}
@ -1105,7 +1168,7 @@ void SparseMatrix<Scalar,_Options,_Index>::sumupDuplicates()
m_outerIndex[m_outerSize] = count;
// turn the matrix into compressed form
delete[] m_innerNonZeros;
std::free(m_innerNonZeros);
m_innerNonZeros = 0;
m_data.resize(m_outerIndex[m_outerSize]);
}

View File

@ -379,6 +379,41 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
initSparse<Scalar>(density, refMat2, m2);
VERIFY_IS_APPROX(m2.diagonal(), refMat2.diagonal().eval());
}
// test conservative resize
{
std::vector< std::pair<int,int> > inc;
inc.push_back(std::pair<int,int>(-3,-2));
inc.push_back(std::pair<int,int>(0,0));
inc.push_back(std::pair<int,int>(3,2));
inc.push_back(std::pair<int,int>(3,0));
inc.push_back(std::pair<int,int>(0,3));
for(size_t i = 0; i< inc.size(); i++) {
int incRows = inc[i].first;
int incCols = inc[i].second;
SparseMatrixType m1(rows, cols);
DenseMatrix refMat1 = DenseMatrix::Zero(rows, cols);
initSparse<Scalar>(density, refMat1, m1);
m1.conservativeResize(rows+incRows, cols+incCols);
refMat1.conservativeResize(rows+incRows, cols+incCols);
if (incRows > 0) refMat1.bottomRows(incRows).setZero();
if (incCols > 0) refMat1.rightCols(incCols).setZero();
VERIFY_IS_APPROX(m1, refMat1);
// Insert new values
if (incRows > 0)
m1.insert(refMat1.rows()-1, 0) = refMat1(refMat1.rows()-1, 0) = 1;
if (incCols > 0)
m1.insert(0, refMat1.cols()-1) = refMat1(0, refMat1.cols()-1) = 1;
VERIFY_IS_APPROX(m1, refMat1);
}
}
}
void test_sparse_basic()