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https://gitlab.com/libeigen/eigen.git
synced 2024-12-15 07:10:37 +08:00
Fix compilation with c++03 (local class cannot be template arguments), and make SparseMatrix::assignDiagonal truly protected.
This commit is contained in:
Gael Guennebaud
parent
f489f44519
commit
a2a07e62b9
@ -249,7 +249,7 @@ struct Assignment<DstXprType, SrcXprType, Functor, Diagonal2Sparse>
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template<int Options, typename AssignFunc>
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static void run(SparseMatrix<Scalar,Options,StorageIndex> &dst, const SrcXprType &src, const AssignFunc &func)
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{ dst._assignDiagonal(src.diagonal(), func); }
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{ dst.assignDiagonal(src.diagonal(), func); }
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template<typename DstDerived>
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static void run(SparseMatrixBase<DstDerived> &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
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@ -99,6 +99,8 @@ class SparseMatrix
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typedef SparseCompressedBase<SparseMatrix> Base;
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using Base::convert_index;
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friend class SparseVector<_Scalar,0,_StorageIndex>;
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template<typename, typename, typename, typename, typename>
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friend struct internal::Assignment;
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public:
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using Base::isCompressed;
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using Base::nonZeros;
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@ -503,113 +505,6 @@ class SparseMatrix
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}
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}
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/** \internal assign \a diagXpr to the diagonal of \c *this
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* There are different strategies:
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* 1 - if *this is overwritten (Func==assign_op) or *this is empty, then we can work treat *this as a dense vector expression.
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* 2 - otherwise, for each diagonal coeff,
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* 2.a - if it already exists, then we update it,
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* 2.b - otherwise, if *this is uncompressed and that the current inner-vector has empty room for at least 1 element, then we perform an in-place insertion.
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* 2.c - otherwise, we'll have to reallocate and copy everything, so instead of doing so for each new element, it is recorded in a std::vector.
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* 3 - at the end, if some entries failed to be inserted in-place, then we alloc a new buffer, copy each chunk at the right position, and insert the new elements.
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*
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* TODO: some piece of code could be isolated and reused for a general in-place update strategy.
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* TODO: if we start to defer the insertion of some elements (i.e., case 2.c executed once),
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* then it *might* be better to disable case 2.b since they will have to be copied anyway.
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*/
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template<typename DiagXpr, typename Func>
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void _assignDiagonal(const DiagXpr diagXpr, const Func& assignFunc)
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{
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struct Record {
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Record(Index a_i, Index a_p) : i(a_i), p(a_p) {}
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Index i;
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Index p;
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};
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Index n = diagXpr.size();
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const bool overwrite = internal::is_same<Func, internal::assign_op<Scalar,Scalar> >::value;
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if(overwrite)
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{
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if((this->rows()!=n) || (this->cols()!=n))
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this->resize(n, n);
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}
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if(m_data.size()==0 || overwrite)
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{
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typedef Array<StorageIndex,Dynamic,1> ArrayXI;
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this->makeCompressed();
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this->resizeNonZeros(n);
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Eigen::Map<ArrayXI>(this->innerIndexPtr(), n).setLinSpaced(0,StorageIndex(n)-1);
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Eigen::Map<ArrayXI>(this->outerIndexPtr(), n+1).setLinSpaced(0,StorageIndex(n));
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Eigen::Map<Array<Scalar,Dynamic,1> > values = this->coeffs();
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values.setZero();
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internal::call_assignment_no_alias(values, diagXpr, assignFunc);
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}
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else
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{
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bool isComp = isCompressed();
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internal::evaluator<DiagXpr> diaEval(diagXpr);
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std::vector<Record> newEntries;
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// 1 - try in-place update and record insertion failures
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for(Index i = 0; i<n; ++i)
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{
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internal::LowerBoundIndex lb = this->lower_bound(i,i);
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Index p = lb.value;
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if(lb.found)
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{
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// the coeff already exists
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assignFunc.assignCoeff(m_data.value(p), diaEval.coeff(i));
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}
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else if((!isComp) && m_innerNonZeros[i] < (m_outerIndex[i+1]-m_outerIndex[i]))
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{
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// non compressed mode with local room for inserting one element
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m_data.moveChunk(p, p+1, m_outerIndex[i]+m_innerNonZeros[i]-p);
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m_innerNonZeros[i]++;
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m_data.value(p) = Scalar(0);
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m_data.index(p) = StorageIndex(i);
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assignFunc.assignCoeff(m_data.value(p), diaEval.coeff(i));
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}
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else
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{
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// defer insertion
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newEntries.push_back(Record(i,p));
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}
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}
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// 2 - insert deferred entries
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Index n_entries = Index(newEntries.size());
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if(n_entries>0)
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{
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Storage newData(m_data.size()+n_entries);
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Index prev_p = 0;
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Index prev_i = 0;
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for(Index k=0; k<n_entries;++k)
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{
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Index i = newEntries[k].i;
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Index p = newEntries[k].p;
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internal::smart_copy(m_data.valuePtr()+prev_p, m_data.valuePtr()+p, newData.valuePtr()+prev_p+k);
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internal::smart_copy(m_data.indexPtr()+prev_p, m_data.indexPtr()+p, newData.indexPtr()+prev_p+k);
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for(Index j=prev_i;j<i;++j)
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m_outerIndex[j+1] += k;
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if(!isComp)
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m_innerNonZeros[i]++;
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prev_p = p;
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prev_i = i;
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newData.value(p+k) = Scalar(0);
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newData.index(p+k) = StorageIndex(i);
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assignFunc.assignCoeff(newData.value(p+k), diaEval.coeff(i));
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}
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{
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internal::smart_copy(m_data.valuePtr()+prev_p, m_data.valuePtr()+m_data.size(), newData.valuePtr()+prev_p+n_entries);
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internal::smart_copy(m_data.indexPtr()+prev_p, m_data.indexPtr()+m_data.size(), newData.indexPtr()+prev_p+n_entries);
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for(Index j=prev_i+1;j<=m_outerSize;++j)
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m_outerIndex[j] += n_entries;
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}
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m_data.swap(newData);
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}
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}
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}
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/** Suppresses all nonzeros which are \b much \b smaller \b than \a reference under the tolerance \a epsilon */
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void prune(const Scalar& reference, const RealScalar& epsilon = NumTraits<RealScalar>::dummy_precision())
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{
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@ -1002,6 +897,113 @@ public:
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m_data.index(p) = convert_index(inner);
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return (m_data.value(p) = Scalar(0));
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}
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protected:
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struct IndexPosPair {
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IndexPosPair(Index a_i, Index a_p) : i(a_i), p(a_p) {}
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Index i;
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Index p;
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};
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/** \internal assign \a diagXpr to the diagonal of \c *this
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* There are different strategies:
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* 1 - if *this is overwritten (Func==assign_op) or *this is empty, then we can work treat *this as a dense vector expression.
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* 2 - otherwise, for each diagonal coeff,
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* 2.a - if it already exists, then we update it,
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* 2.b - otherwise, if *this is uncompressed and that the current inner-vector has empty room for at least 1 element, then we perform an in-place insertion.
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* 2.c - otherwise, we'll have to reallocate and copy everything, so instead of doing so for each new element, it is recorded in a std::vector.
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* 3 - at the end, if some entries failed to be inserted in-place, then we alloc a new buffer, copy each chunk at the right position, and insert the new elements.
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*
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* TODO: some piece of code could be isolated and reused for a general in-place update strategy.
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* TODO: if we start to defer the insertion of some elements (i.e., case 2.c executed once),
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* then it *might* be better to disable case 2.b since they will have to be copied anyway.
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*/
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template<typename DiagXpr, typename Func>
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void assignDiagonal(const DiagXpr diagXpr, const Func& assignFunc)
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{
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Index n = diagXpr.size();
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const bool overwrite = internal::is_same<Func, internal::assign_op<Scalar,Scalar> >::value;
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if(overwrite)
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{
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if((this->rows()!=n) || (this->cols()!=n))
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this->resize(n, n);
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}
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if(m_data.size()==0 || overwrite)
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{
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typedef Array<StorageIndex,Dynamic,1> ArrayXI;
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this->makeCompressed();
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this->resizeNonZeros(n);
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Eigen::Map<ArrayXI>(this->innerIndexPtr(), n).setLinSpaced(0,StorageIndex(n)-1);
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Eigen::Map<ArrayXI>(this->outerIndexPtr(), n+1).setLinSpaced(0,StorageIndex(n));
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Eigen::Map<Array<Scalar,Dynamic,1> > values = this->coeffs();
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values.setZero();
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internal::call_assignment_no_alias(values, diagXpr, assignFunc);
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}
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else
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{
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bool isComp = isCompressed();
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internal::evaluator<DiagXpr> diaEval(diagXpr);
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std::vector<IndexPosPair> newEntries;
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// 1 - try in-place update and record insertion failures
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for(Index i = 0; i<n; ++i)
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{
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internal::LowerBoundIndex lb = this->lower_bound(i,i);
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Index p = lb.value;
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if(lb.found)
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{
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// the coeff already exists
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assignFunc.assignCoeff(m_data.value(p), diaEval.coeff(i));
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}
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else if((!isComp) && m_innerNonZeros[i] < (m_outerIndex[i+1]-m_outerIndex[i]))
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{
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// non compressed mode with local room for inserting one element
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m_data.moveChunk(p, p+1, m_outerIndex[i]+m_innerNonZeros[i]-p);
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m_innerNonZeros[i]++;
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m_data.value(p) = Scalar(0);
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m_data.index(p) = StorageIndex(i);
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assignFunc.assignCoeff(m_data.value(p), diaEval.coeff(i));
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}
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else
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{
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// defer insertion
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newEntries.push_back(IndexPosPair(i,p));
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}
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}
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// 2 - insert deferred entries
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Index n_entries = Index(newEntries.size());
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if(n_entries>0)
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{
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Storage newData(m_data.size()+n_entries);
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Index prev_p = 0;
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Index prev_i = 0;
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for(Index k=0; k<n_entries;++k)
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{
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Index i = newEntries[k].i;
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Index p = newEntries[k].p;
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internal::smart_copy(m_data.valuePtr()+prev_p, m_data.valuePtr()+p, newData.valuePtr()+prev_p+k);
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internal::smart_copy(m_data.indexPtr()+prev_p, m_data.indexPtr()+p, newData.indexPtr()+prev_p+k);
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for(Index j=prev_i;j<i;++j)
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m_outerIndex[j+1] += k;
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if(!isComp)
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m_innerNonZeros[i]++;
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prev_p = p;
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prev_i = i;
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newData.value(p+k) = Scalar(0);
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newData.index(p+k) = StorageIndex(i);
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assignFunc.assignCoeff(newData.value(p+k), diaEval.coeff(i));
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}
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{
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internal::smart_copy(m_data.valuePtr()+prev_p, m_data.valuePtr()+m_data.size(), newData.valuePtr()+prev_p+n_entries);
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internal::smart_copy(m_data.indexPtr()+prev_p, m_data.indexPtr()+m_data.size(), newData.indexPtr()+prev_p+n_entries);
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for(Index j=prev_i+1;j<=m_outerSize;++j)
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m_outerIndex[j] += n_entries;
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}
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m_data.swap(newData);
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}
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}
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}
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private:
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static void check_template_parameters()
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