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mirror of https://gitlab.com/libeigen/eigen.git synced 2024-12-21 07:19:46 +08:00

Fix regression in assigment of sparse block to spasre block.

This commit is contained in:
Gael Guennebaud 2016-11-21 21:46:42 +01:00
parent f11da1d83b
commit 6a84246a6a
2 changed files with 34 additions and 5 deletions
Eigen/src/SparseCore
test

View File

@ -130,7 +130,7 @@ public:
// 2 - let's check whether there is enough allocated memory
Index nnz = tmp.nonZeros();
Index start = m_outerStart==0 ? 0 : matrix.outerIndexPtr()[m_outerStart]; // starting position of the current block
Index start = m_outerStart==0 ? 0 : m_matrix.outerIndexPtr()[m_outerStart]; // starting position of the current block
Index end = m_matrix.outerIndexPtr()[m_outerStart+m_outerSize.value()]; // ending position of the current block
Index block_size = end - start; // available room in the current block
Index tail_size = m_matrix.outerIndexPtr()[m_matrix.outerSize()] - end;
@ -139,6 +139,8 @@ public:
? Index(matrix.data().allocatedSize()) + block_size
: block_size;
Index tmp_start = tmp.outerIndexPtr()[0];
bool update_trailing_pointers = false;
if(nnz>free_size)
{
@ -148,8 +150,8 @@ public:
internal::smart_copy(m_matrix.valuePtr(), m_matrix.valuePtr() + start, newdata.valuePtr());
internal::smart_copy(m_matrix.innerIndexPtr(), m_matrix.innerIndexPtr() + start, newdata.indexPtr());
internal::smart_copy(tmp.valuePtr(), tmp.valuePtr() + nnz, newdata.valuePtr() + start);
internal::smart_copy(tmp.innerIndexPtr(), tmp.innerIndexPtr() + nnz, newdata.indexPtr() + start);
internal::smart_copy(tmp.valuePtr() + tmp_start, tmp.valuePtr() + tmp_start + nnz, newdata.valuePtr() + start);
internal::smart_copy(tmp.innerIndexPtr() + tmp_start, tmp.innerIndexPtr() + tmp_start + nnz, newdata.indexPtr() + start);
internal::smart_copy(matrix.valuePtr()+end, matrix.valuePtr()+end + tail_size, newdata.valuePtr()+start+nnz);
internal::smart_copy(matrix.innerIndexPtr()+end, matrix.innerIndexPtr()+end + tail_size, newdata.indexPtr()+start+nnz);
@ -173,8 +175,8 @@ public:
update_trailing_pointers = true;
}
internal::smart_copy(tmp.valuePtr(), tmp.valuePtr() + nnz, matrix.valuePtr() + start);
internal::smart_copy(tmp.innerIndexPtr(), tmp.innerIndexPtr() + nnz, matrix.innerIndexPtr() + start);
internal::smart_copy(tmp.valuePtr() + tmp_start, tmp.valuePtr() + tmp_start + nnz, matrix.valuePtr() + start);
internal::smart_copy(tmp.innerIndexPtr() + tmp_start, tmp.innerIndexPtr() + tmp_start + nnz, matrix.innerIndexPtr() + start);
}
// update outer index pointers and innerNonZeros

View File

@ -223,6 +223,33 @@ template<typename SparseMatrixType> void sparse_block(const SparseMatrixType& re
VERIFY_IS_APPROX(m2.block(r0,c0,r1,c1), refMat2.block(r0,c0,r1,c1));
VERIFY_IS_APPROX((2*m2).block(r0,c0,r1,c1), (2*refMat2).block(r0,c0,r1,c1));
if(m2.nonZeros()>0)
{
VERIFY_IS_APPROX(m2, refMat2);
SparseMatrixType m3(rows, cols);
DenseMatrix refMat3(rows, cols); refMat3.setZero();
Index n = internal::random<Index>(1,10);
for(Index k=0; k<n; ++k)
{
Index o1 = internal::random<Index>(0,outer-1);
Index o2 = internal::random<Index>(0,outer-1);
if(SparseMatrixType::IsRowMajor)
{
m3.innerVector(o1) = m2.row(o2);
refMat3.row(o1) = refMat2.row(o2);
}
else
{
m3.innerVector(o1) = m2.col(o2);
refMat3.col(o1) = refMat2.col(o2);
}
if(internal::random<bool>())
m3.makeCompressed();
}
if(m3.nonZeros()>0)
VERIFY_IS_APPROX(m3, refMat3);
}
}
}