fix realloc when initial size was 0 (bug reported by Jens Mueller)

This commit is contained in:
Gael Guennebaud 2009-05-07 13:13:42 +00:00
parent 4f0af00e51
commit 6dffdca123

View File

@ -138,7 +138,7 @@ class SparseMatrix
setZero();
m_data.reserve(reserveSize);
}
/** Preallocates \a reserveSize non zeros */
inline void reserve(int reserveSize)
{
@ -175,9 +175,9 @@ class SparseMatrix
m_data.append(0, inner);
return m_data.value(id);
}
//--- low level purely coherent filling ---
inline Scalar& insertBack(int outer, int inner)
{
ei_assert(size_t(m_outerIndex[outer+1]) == m_data.size() && "wrong sorted insertion");
@ -187,14 +187,14 @@ class SparseMatrix
m_data.append(0, inner);
return m_data.value(id);
}
inline void startVec(int outer)
{
ei_assert(m_outerIndex[outer]==int(m_data.size()) && "you must call startVec on each inner vec");
ei_assert(m_outerIndex[outer+1]==0 && "you must call startVec on each inner vec");
m_outerIndex[outer+1] = m_outerIndex[outer];
}
//---
/** \deprecated use insert()
@ -204,20 +204,20 @@ class SparseMatrix
{
return insert(row,col);
}
/** \returns a reference to a novel non zero coefficient with coordinates \a row x \a col.
* The non zero coefficient must \b not already exist.
*
*
* \warning This function can be extremely slow if the non zero coefficients
* are not inserted in a coherent order.
*
*
* After an insertion session, you should call the finalize() function.
*/
EIGEN_DONT_INLINE Scalar& insert(int row, int col)
{
const int outer = IsRowMajor ? row : col;
const int inner = IsRowMajor ? col : row;
int previousOuter = outer;
if (m_outerIndex[outer+1]==0)
{
@ -229,13 +229,13 @@ class SparseMatrix
}
m_outerIndex[outer+1] = m_outerIndex[outer];
}
// here we have to handle the tricky case where the outerIndex array
// here we have to handle the tricky case where the outerIndex array
// starts with: [ 0 0 0 0 0 1 ...] and we are inserting in, e.g.,
// the 2nd inner vector...
bool isLastVec = (!(previousOuter==-1 && m_data.size()!=0))
&& (size_t(m_outerIndex[outer+1]) == m_data.size());
size_t startId = m_outerIndex[outer];
// FIXME let's make sure sizeof(long int) == sizeof(size_t)
size_t id = m_outerIndex[outer+1];
@ -244,18 +244,26 @@ class SparseMatrix
float reallocRatio = 1;
if (m_data.allocatedSize()<=m_data.size())
{
// we need to reallocate the data, to reduce multiple reallocations
// we use a smart resize algorithm based on the current filling ratio
// in addition, we use float to avoid integers overflows
float nnzEstimate = float(m_outerIndex[outer])*float(m_outerSize)/float(outer+1);
reallocRatio = (nnzEstimate-float(m_data.size()))/float(m_data.size());
// furthermore we bound the realloc ratio to:
// 1) reduce multiple minor realloc when the matrix is almost filled
// 2) avoid to allocate too much memory when the matrix is almost empty
reallocRatio = std::min(std::max(reallocRatio,1.5f),8.f);
// if there is no preallocated memory, let's reserve a minimum of 32 elements
if (m_data.size()==0)
{
m_data.reserve(32);
}
else
{
// we need to reallocate the data, to reduce multiple reallocations
// we use a smart resize algorithm based on the current filling ratio
// in addition, we use float to avoid integers overflows
float nnzEstimate = float(m_outerIndex[outer])*float(m_outerSize)/float(outer+1);
reallocRatio = (nnzEstimate-float(m_data.size()))/float(m_data.size());
// furthermore we bound the realloc ratio to:
// 1) reduce multiple minor realloc when the matrix is almost filled
// 2) avoid to allocate too much memory when the matrix is almost empty
reallocRatio = std::min(std::max(reallocRatio,1.5f),8.f);
}
}
m_data.resize(m_data.size()+1,reallocRatio);
if (!isLastVec)
{
if (previousOuter==-1)
@ -310,7 +318,7 @@ class SparseMatrix
}
EIGEN_DEPRECATED void endFill() { finalize(); }
/** Must be called after inserting a set of non zero entries.
*/
inline void finalize()