devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

Fix tracking of temporaries in unit tests

Browse Source
This commit is contained in:
Gael Guennebaud
2017-02-19 10:32:54 +01:00
parent f8a55cc062
commit deefa54a54
6 changed files with 18 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files

13
test/permutationmatrices.cpp
View File

@@ -37,8 +37,7 @@ template<typename MatrixType> void permutationmatrices(const MatrixType& m)
RightPermutationType rp(rv);
MatrixType m_permuted = MatrixType::Random(rows,cols);
const int one_if_dynamic = MatrixType::SizeAtCompileTime==Dynamic ? 1 : 0;
VERIFY_EVALUATION_COUNT(m_permuted = lp * m_original * rp, one_if_dynamic); // 1 temp for sub expression "lp * m_original"
VERIFY_EVALUATION_COUNT(m_permuted = lp * m_original * rp, 1); // 1 temp for sub expression "lp * m_original"
for (int i=0; i<rows; i++)
for (int j=0; j<cols; j++)
@@ -50,7 +49,7 @@ template<typename MatrixType> void permutationmatrices(const MatrixType& m)
VERIFY_IS_APPROX(m_permuted, lm*m_original*rm);
m_permuted = m_original;
VERIFY_EVALUATION_COUNT(m_permuted = lp * m_permuted * rp, one_if_dynamic);
VERIFY_EVALUATION_COUNT(m_permuted = lp * m_permuted * rp, 1);
VERIFY_IS_APPROX(m_permuted, lm*m_original*rm);
VERIFY_IS_APPROX(lp.inverse()*m_permuted*rp.inverse(), m_original);
@@ -75,19 +74,19 @@ template<typename MatrixType> void permutationmatrices(const MatrixType& m)
// check inplace permutations
m_permuted = m_original;
VERIFY_EVALUATION_COUNT(m_permuted.noalias()= lp.inverse() * m_permuted, one_if_dynamic); // 1 temp to allocate the mask
VERIFY_EVALUATION_COUNT(m_permuted.noalias()= lp.inverse() * m_permuted, 1); // 1 temp to allocate the mask
VERIFY_IS_APPROX(m_permuted, lp.inverse()*m_original);
m_permuted = m_original;
VERIFY_EVALUATION_COUNT(m_permuted.noalias() = m_permuted * rp.inverse(), one_if_dynamic); // 1 temp to allocate the mask
VERIFY_EVALUATION_COUNT(m_permuted.noalias() = m_permuted * rp.inverse(), 1); // 1 temp to allocate the mask
VERIFY_IS_APPROX(m_permuted, m_original*rp.inverse());
m_permuted = m_original;
VERIFY_EVALUATION_COUNT(m_permuted.noalias() = lp * m_permuted, one_if_dynamic); // 1 temp to allocate the mask
VERIFY_EVALUATION_COUNT(m_permuted.noalias() = lp * m_permuted, 1); // 1 temp to allocate the mask
VERIFY_IS_APPROX(m_permuted, lp*m_original);
m_permuted = m_original;
VERIFY_EVALUATION_COUNT(m_permuted.noalias() = m_permuted * rp, one_if_dynamic); // 1 temp to allocate the mask
VERIFY_EVALUATION_COUNT(m_permuted.noalias() = m_permuted * rp, 1); // 1 temp to allocate the mask
VERIFY_IS_APPROX(m_permuted, m_original*rp);
if(rows>1 && cols>1)