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use unique_ptr consistently for delayed instantiation

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This commit is contained in:
Tobias Meyer Andersen 2024-06-26 15:31:52 +02:00
parent 82ff782d5f
commit d6f8678617
2 changed files with 8 additions and 10 deletions
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15
opm/simulators/linalg/cuistl/CuDILU.cpp
View File

@ -78,7 +78,7 @@ createReorderedMatrix(const M& naturalMatrix,
}
}
reorderedGpuMat.reset(new auto(Opm::cuistl::CuSparseMatrix<field_type>::fromMatrix(reorderedMatrix, true)));
reorderedGpuMat.reset(new auto (GPUM::fromMatrix(reorderedMatrix, true)));
}
template <class M, class field_type, class GPUM>
@ -108,8 +108,8 @@ extractLowerAndUpperMatrices(const M& naturalMatrix,
}
}
lower.reset(new auto(Opm::cuistl::CuSparseMatrix<field_type>::fromMatrix(reorderedLower, true)));
upper.reset(new auto(Opm::cuistl::CuSparseMatrix<field_type>::fromMatrix(reorderedUpper, true)));
lower.reset(new auto (GPUM::fromMatrix(reorderedLower, true)));
upper.reset(new auto (GPUM::fromMatrix(reorderedUpper, true)));
return;
}
@ -125,9 +125,6 @@ CuDILU<M, X, Y, l>::CuDILU(const M& A, bool split_matrix)
, m_reorderedToNatural(createReorderedToNatural(m_levelSets))
, m_naturalToReordered(createNaturalToReordered(m_levelSets))
, m_gpuMatrix(CuSparseMatrix<field_type>::fromMatrix(m_cpuMatrix, true))
, m_gpuMatrixReordered(nullptr)
, m_gpuMatrixReorderedLower(nullptr)
, m_gpuMatrixReorderedUpper(nullptr)
, m_gpuNaturalToReorder(m_naturalToReordered)
, m_gpuReorderToNatural(m_reorderedToNatural)
, m_gpuDInv(m_gpuMatrix.N() * m_gpuMatrix.blockSize() * m_gpuMatrix.blockSize())
@ -151,7 +148,7 @@ CuDILU<M, X, Y, l>::CuDILU(const M& A, bool split_matrix)
m_gpuMatrix.nonzeroes(),
A.nonzeroes()));
if (m_split_matrix) {
m_gpuMatrixReorderedDiag.emplace(CuVector<field_type>(blocksize_ * blocksize_ * m_cpuMatrix.N()));
m_gpuMatrixReorderedDiag.reset(new auto(CuVector<field_type>(blocksize_ * blocksize_ * m_cpuMatrix.N())));
extractLowerAndUpperMatrices<M, field_type, CuSparseMatrix<field_type>>(
m_cpuMatrix, m_reorderedToNatural, m_gpuMatrixReorderedLower, m_gpuMatrixReorderedUpper);
} else {
@ -272,7 +269,7 @@ CuDILU<M, X, Y, l>::computeDiagAndMoveReorderedData()
m_gpuMatrixReorderedLower->getRowIndices().data(),
m_gpuMatrixReorderedUpper->getNonZeroValues().data(),
m_gpuMatrixReorderedUpper->getRowIndices().data(),
m_gpuMatrixReorderedDiag.value().data(),
m_gpuMatrixReorderedDiag->data(),
m_gpuNaturalToReorder.data(),
m_gpuMatrixReorderedLower->N());
} else {
@ -295,7 +292,7 @@ CuDILU<M, X, Y, l>::computeDiagAndMoveReorderedData()
m_gpuMatrixReorderedUpper->getNonZeroValues().data(),
m_gpuMatrixReorderedUpper->getRowIndices().data(),
m_gpuMatrixReorderedUpper->getColumnIndices().data(),
m_gpuMatrixReorderedDiag.value().data(),
m_gpuMatrixReorderedDiag->data(),
m_gpuReorderToNatural.data(),
m_gpuNaturalToReorder.data(),
levelStartIdx,

3
opm/simulators/linalg/cuistl/CuDILU.hpp
View File

@ -115,12 +115,13 @@ private:
std::vector<int> m_naturalToReordered;
//! \brief The A matrix stored on the gpu, and its reordred version
CuMat m_gpuMatrix;
//! \brief Stores the matrix in its entirety reordered. Optional in case splitting is used
std::unique_ptr<CuMat> m_gpuMatrixReordered;
//! \brief If matrix splitting is enabled, then we store the lower and upper part separately
std::unique_ptr<CuMat> m_gpuMatrixReorderedLower;
std::unique_ptr<CuMat> m_gpuMatrixReorderedUpper;
//! \brief If matrix splitting is enabled, we also store the diagonal separately
std::optional<CuVector<field_type>> m_gpuMatrixReorderedDiag;
std::unique_ptr<CuVector<field_type>> m_gpuMatrixReorderedDiag;
//! row conversion from natural to reordered matrix indices stored on the GPU
CuVector<int> m_gpuNaturalToReorder;
//! row conversion from reordered to natural matrix indices stored on the GPU