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Do not bypass aliasing in sparse e assignments
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@ -143,7 +143,7 @@ template<typename Derived>
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template<typename OtherDerived>
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inline Derived& SparseMatrixBase<Derived>::operator=(const SparseMatrixBase<OtherDerived>& other)
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{
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internal::call_assignment_no_alias(derived(), other.derived());
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internal::call_assignment/*_no_alias*/(derived(), other.derived());
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return derived();
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}
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@ -184,7 +184,7 @@ void assign_sparse_to_sparse(DstXprType &dst, const SrcXprType &src)
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typedef typename internal::evaluator<SrcXprType>::type SrcEvaluatorType;
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SrcEvaluatorType srcEvaluator(src);
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const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
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const Index outerSize = (int(SrcEvaluatorType::Flags) & RowMajorBit) ? src.rows() : src.cols();
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if ((!transpose) && src.isRValue())
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@ -649,7 +649,13 @@ class SparseMatrix
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EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
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YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
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check_template_parameters();
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#ifndef EIGEN_TEST_EVALUATORS
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*this = other.derived();
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#else
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const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
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if (needToTranspose) *this = other.derived();
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else internal::call_assignment_no_alias(*this, other.derived());
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#endif
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}
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/** Constructs a sparse matrix from the sparse selfadjoint view \a other */
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@ -722,6 +728,7 @@ class SparseMatrix
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return *this;
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}
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#ifndef EIGEN_TEST_EVALUATORS
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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template<typename Lhs, typename Rhs>
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inline SparseMatrix& operator=(const SparseSparseProduct<Lhs,Rhs>& product)
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@ -738,6 +745,7 @@ class SparseMatrix
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inline SparseMatrix& operator=(const EigenBase<OtherDerived>& other)
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{ return Base::operator=(other.derived()); }
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#endif
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#endif // EIGEN_TEST_EVALUATORS
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template<typename OtherDerived>
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EIGEN_DONT_INLINE SparseMatrix& operator=(const SparseMatrixBase<OtherDerived>& other);
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@ -1174,7 +1182,9 @@ EIGEN_DONT_INLINE SparseMatrix<Scalar,_Options,_Index>& SparseMatrix<Scalar,_Opt
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else
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{
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if(other.isRValue())
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{
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initAssignment(other.derived());
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}
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// there is no special optimization
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return Base::operator=(other.derived());
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}
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@ -1336,12 +1346,13 @@ struct evaluator<SparseMatrix<_Scalar,_Options,_Index> >
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Flags = SparseMatrixType::Flags
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};
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evaluator(const SparseMatrixType &mat) : m_matrix(mat) {}
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evaluator() : m_matrix(0) {}
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evaluator(const SparseMatrixType &mat) : m_matrix(&mat) {}
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operator SparseMatrixType&() { return m_matrix.const_cast_derived(); }
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operator const SparseMatrixType&() const { return m_matrix; }
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operator SparseMatrixType&() { return m_matrix->const_cast_derived(); }
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operator const SparseMatrixType&() const { return *m_matrix; }
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const SparseMatrixType &m_matrix;
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const SparseMatrixType *m_matrix;
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};
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}
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