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Diffstat (limited to 'runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseBlock.h')
| -rw-r--r-- | runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseBlock.h | 603 |
1 files changed, 603 insertions, 0 deletions
diff --git a/runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseBlock.h b/runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseBlock.h new file mode 100644 index 000000000..511e92b2f --- /dev/null +++ b/runtimes/nn/depend/external/eigen/Eigen/src/SparseCore/SparseBlock.h @@ -0,0 +1,603 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +#ifndef EIGEN_SPARSE_BLOCK_H +#define EIGEN_SPARSE_BLOCK_H + +namespace Eigen { + +// Subset of columns or rows +template<typename XprType, int BlockRows, int BlockCols> +class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse> + : public SparseMatrixBase<Block<XprType,BlockRows,BlockCols,true> > +{ + typedef typename internal::remove_all<typename XprType::Nested>::type _MatrixTypeNested; + typedef Block<XprType, BlockRows, BlockCols, true> BlockType; +public: + enum { IsRowMajor = internal::traits<BlockType>::IsRowMajor }; +protected: + enum { OuterSize = IsRowMajor ? BlockRows : BlockCols }; + typedef SparseMatrixBase<BlockType> Base; + using Base::convert_index; +public: + EIGEN_SPARSE_PUBLIC_INTERFACE(BlockType) + + inline BlockImpl(XprType& xpr, Index i) + : m_matrix(xpr), m_outerStart(convert_index(i)), m_outerSize(OuterSize) + {} + + inline BlockImpl(XprType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols) + : m_matrix(xpr), m_outerStart(convert_index(IsRowMajor ? startRow : startCol)), m_outerSize(convert_index(IsRowMajor ? blockRows : blockCols)) + {} + + EIGEN_STRONG_INLINE Index rows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); } + EIGEN_STRONG_INLINE Index cols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); } + + Index nonZeros() const + { + typedef internal::evaluator<XprType> EvaluatorType; + EvaluatorType matEval(m_matrix); + Index nnz = 0; + Index end = m_outerStart + m_outerSize.value(); + for(Index j=m_outerStart; j<end; ++j) + for(typename EvaluatorType::InnerIterator it(matEval, j); it; ++it) + ++nnz; + return nnz; + } + + inline const Scalar coeff(Index row, Index col) const + { + return m_matrix.coeff(row + (IsRowMajor ? m_outerStart : 0), col + (IsRowMajor ? 0 : m_outerStart)); + } + + inline const Scalar coeff(Index index) const + { + return m_matrix.coeff(IsRowMajor ? m_outerStart : index, IsRowMajor ? index : m_outerStart); + } + + inline const XprType& nestedExpression() const { return m_matrix; } + inline XprType& nestedExpression() { return m_matrix; } + Index startRow() const { return IsRowMajor ? m_outerStart : 0; } + Index startCol() const { return IsRowMajor ? 0 : m_outerStart; } + Index blockRows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); } + Index blockCols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); } + + protected: + + typename internal::ref_selector<XprType>::non_const_type m_matrix; + Index m_outerStart; + const internal::variable_if_dynamic<Index, OuterSize> m_outerSize; + + protected: + // Disable assignment with clear error message. + // Note that simply removing operator= yields compilation errors with ICC+MSVC + template<typename T> + BlockImpl& operator=(const T&) + { + EIGEN_STATIC_ASSERT(sizeof(T)==0, THIS_SPARSE_BLOCK_SUBEXPRESSION_IS_READ_ONLY); + return *this; + } +}; + + +/*************************************************************************** +* specialization for SparseMatrix +***************************************************************************/ + +namespace internal { + +template<typename SparseMatrixType, int BlockRows, int BlockCols> +class sparse_matrix_block_impl + : public SparseCompressedBase<Block<SparseMatrixType,BlockRows,BlockCols,true> > +{ + typedef typename internal::remove_all<typename SparseMatrixType::Nested>::type _MatrixTypeNested; + typedef Block<SparseMatrixType, BlockRows, BlockCols, true> BlockType; + typedef SparseCompressedBase<Block<SparseMatrixType,BlockRows,BlockCols,true> > Base; + using Base::convert_index; +public: + enum { IsRowMajor = internal::traits<BlockType>::IsRowMajor }; + EIGEN_SPARSE_PUBLIC_INTERFACE(BlockType) +protected: + typedef typename Base::IndexVector IndexVector; + enum { OuterSize = IsRowMajor ? BlockRows : BlockCols }; +public: + + inline sparse_matrix_block_impl(SparseMatrixType& xpr, Index i) + : m_matrix(xpr), m_outerStart(convert_index(i)), m_outerSize(OuterSize) + {} + + inline sparse_matrix_block_impl(SparseMatrixType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols) + : m_matrix(xpr), m_outerStart(convert_index(IsRowMajor ? startRow : startCol)), m_outerSize(convert_index(IsRowMajor ? blockRows : blockCols)) + {} + + template<typename OtherDerived> + inline BlockType& operator=(const SparseMatrixBase<OtherDerived>& other) + { + typedef typename internal::remove_all<typename SparseMatrixType::Nested>::type _NestedMatrixType; + _NestedMatrixType& matrix = m_matrix; + // This assignment is slow if this vector set is not empty + // and/or it is not at the end of the nonzeros of the underlying matrix. + + // 1 - eval to a temporary to avoid transposition and/or aliasing issues + Ref<const SparseMatrix<Scalar, IsRowMajor ? RowMajor : ColMajor, StorageIndex> > tmp(other.derived()); + eigen_internal_assert(tmp.outerSize()==m_outerSize.value()); + + // 2 - let's check whether there is enough allocated memory + Index nnz = tmp.nonZeros(); + 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; + + Index free_size = m_matrix.isCompressed() + ? Index(matrix.data().allocatedSize()) + block_size + : block_size; + + Index tmp_start = tmp.outerIndexPtr()[0]; + + bool update_trailing_pointers = false; + if(nnz>free_size) + { + // realloc manually to reduce copies + typename SparseMatrixType::Storage newdata(m_matrix.data().allocatedSize() - block_size + nnz); + + 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_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); + + newdata.resize(m_matrix.outerIndexPtr()[m_matrix.outerSize()] - block_size + nnz); + + matrix.data().swap(newdata); + + update_trailing_pointers = true; + } + else + { + if(m_matrix.isCompressed()) + { + // no need to realloc, simply copy the tail at its respective position and insert tmp + matrix.data().resize(start + nnz + tail_size); + + internal::smart_memmove(matrix.valuePtr()+end, matrix.valuePtr() + end+tail_size, matrix.valuePtr() + start+nnz); + internal::smart_memmove(matrix.innerIndexPtr()+end, matrix.innerIndexPtr() + end+tail_size, matrix.innerIndexPtr() + start+nnz); + + update_trailing_pointers = true; + } + + 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 + if(IsVectorAtCompileTime) + { + if(!m_matrix.isCompressed()) + matrix.innerNonZeroPtr()[m_outerStart] = StorageIndex(nnz); + matrix.outerIndexPtr()[m_outerStart] = StorageIndex(start); + } + else + { + StorageIndex p = StorageIndex(start); + for(Index k=0; k<m_outerSize.value(); ++k) + { + StorageIndex nnz_k = internal::convert_index<StorageIndex>(tmp.innerVector(k).nonZeros()); + if(!m_matrix.isCompressed()) + matrix.innerNonZeroPtr()[m_outerStart+k] = nnz_k; + matrix.outerIndexPtr()[m_outerStart+k] = p; + p += nnz_k; + } + } + + if(update_trailing_pointers) + { + StorageIndex offset = internal::convert_index<StorageIndex>(nnz - block_size); + for(Index k = m_outerStart + m_outerSize.value(); k<=matrix.outerSize(); ++k) + { + matrix.outerIndexPtr()[k] += offset; + } + } + + return derived(); + } + + inline BlockType& operator=(const BlockType& other) + { + return operator=<BlockType>(other); + } + + inline const Scalar* valuePtr() const + { return m_matrix.valuePtr(); } + inline Scalar* valuePtr() + { return m_matrix.valuePtr(); } + + inline const StorageIndex* innerIndexPtr() const + { return m_matrix.innerIndexPtr(); } + inline StorageIndex* innerIndexPtr() + { return m_matrix.innerIndexPtr(); } + + inline const StorageIndex* outerIndexPtr() const + { return m_matrix.outerIndexPtr() + m_outerStart; } + inline StorageIndex* outerIndexPtr() + { return m_matrix.outerIndexPtr() + m_outerStart; } + + inline const StorageIndex* innerNonZeroPtr() const + { return isCompressed() ? 0 : (m_matrix.innerNonZeroPtr()+m_outerStart); } + inline StorageIndex* innerNonZeroPtr() + { return isCompressed() ? 0 : (m_matrix.innerNonZeroPtr()+m_outerStart); } + + bool isCompressed() const { return m_matrix.innerNonZeroPtr()==0; } + + inline Scalar& coeffRef(Index row, Index col) + { + return m_matrix.coeffRef(row + (IsRowMajor ? m_outerStart : 0), col + (IsRowMajor ? 0 : m_outerStart)); + } + + inline const Scalar coeff(Index row, Index col) const + { + return m_matrix.coeff(row + (IsRowMajor ? m_outerStart : 0), col + (IsRowMajor ? 0 : m_outerStart)); + } + + inline const Scalar coeff(Index index) const + { + return m_matrix.coeff(IsRowMajor ? m_outerStart : index, IsRowMajor ? index : m_outerStart); + } + + const Scalar& lastCoeff() const + { + EIGEN_STATIC_ASSERT_VECTOR_ONLY(sparse_matrix_block_impl); + eigen_assert(Base::nonZeros()>0); + if(m_matrix.isCompressed()) + return m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart+1]-1]; + else + return m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart]+m_matrix.innerNonZeroPtr()[m_outerStart]-1]; + } + + EIGEN_STRONG_INLINE Index rows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); } + EIGEN_STRONG_INLINE Index cols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); } + + inline const SparseMatrixType& nestedExpression() const { return m_matrix; } + inline SparseMatrixType& nestedExpression() { return m_matrix; } + Index startRow() const { return IsRowMajor ? m_outerStart : 0; } + Index startCol() const { return IsRowMajor ? 0 : m_outerStart; } + Index blockRows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); } + Index blockCols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); } + + protected: + + typename internal::ref_selector<SparseMatrixType>::non_const_type m_matrix; + Index m_outerStart; + const internal::variable_if_dynamic<Index, OuterSize> m_outerSize; + +}; + +} // namespace internal + +template<typename _Scalar, int _Options, typename _StorageIndex, int BlockRows, int BlockCols> +class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse> + : public internal::sparse_matrix_block_impl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols> +{ +public: + typedef _StorageIndex StorageIndex; + typedef SparseMatrix<_Scalar, _Options, _StorageIndex> SparseMatrixType; + typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,BlockCols> Base; + inline BlockImpl(SparseMatrixType& xpr, Index i) + : Base(xpr, i) + {} + + inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols) + : Base(xpr, startRow, startCol, blockRows, blockCols) + {} + + using Base::operator=; +}; + +template<typename _Scalar, int _Options, typename _StorageIndex, int BlockRows, int BlockCols> +class BlockImpl<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse> + : public internal::sparse_matrix_block_impl<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols> +{ +public: + typedef _StorageIndex StorageIndex; + typedef const SparseMatrix<_Scalar, _Options, _StorageIndex> SparseMatrixType; + typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,BlockCols> Base; + inline BlockImpl(SparseMatrixType& xpr, Index i) + : Base(xpr, i) + {} + + inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols) + : Base(xpr, startRow, startCol, blockRows, blockCols) + {} + + using Base::operator=; +private: + template<typename Derived> BlockImpl(const SparseMatrixBase<Derived>& xpr, Index i); + template<typename Derived> BlockImpl(const SparseMatrixBase<Derived>& xpr); +}; + +//---------- + +/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this + * is col-major (resp. row-major). + */ +template<typename Derived> +typename SparseMatrixBase<Derived>::InnerVectorReturnType SparseMatrixBase<Derived>::innerVector(Index outer) +{ return InnerVectorReturnType(derived(), outer); } + +/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this + * is col-major (resp. row-major). Read-only. + */ +template<typename Derived> +const typename SparseMatrixBase<Derived>::ConstInnerVectorReturnType SparseMatrixBase<Derived>::innerVector(Index outer) const +{ return ConstInnerVectorReturnType(derived(), outer); } + +/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this + * is col-major (resp. row-major). + */ +template<typename Derived> +typename SparseMatrixBase<Derived>::InnerVectorsReturnType +SparseMatrixBase<Derived>::innerVectors(Index outerStart, Index outerSize) +{ + return Block<Derived,Dynamic,Dynamic,true>(derived(), + IsRowMajor ? outerStart : 0, IsRowMajor ? 0 : outerStart, + IsRowMajor ? outerSize : rows(), IsRowMajor ? cols() : outerSize); + +} + +/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this + * is col-major (resp. row-major). Read-only. + */ +template<typename Derived> +const typename SparseMatrixBase<Derived>::ConstInnerVectorsReturnType +SparseMatrixBase<Derived>::innerVectors(Index outerStart, Index outerSize) const +{ + return Block<const Derived,Dynamic,Dynamic,true>(derived(), + IsRowMajor ? outerStart : 0, IsRowMajor ? 0 : outerStart, + IsRowMajor ? outerSize : rows(), IsRowMajor ? cols() : outerSize); + +} + +/** Generic implementation of sparse Block expression. + * Real-only. + */ +template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> +class BlockImpl<XprType,BlockRows,BlockCols,InnerPanel,Sparse> + : public SparseMatrixBase<Block<XprType,BlockRows,BlockCols,InnerPanel> >, internal::no_assignment_operator +{ + typedef Block<XprType, BlockRows, BlockCols, InnerPanel> BlockType; + typedef SparseMatrixBase<BlockType> Base; + using Base::convert_index; +public: + enum { IsRowMajor = internal::traits<BlockType>::IsRowMajor }; + EIGEN_SPARSE_PUBLIC_INTERFACE(BlockType) + + typedef typename internal::remove_all<typename XprType::Nested>::type _MatrixTypeNested; + + /** Column or Row constructor + */ + inline BlockImpl(XprType& xpr, Index i) + : m_matrix(xpr), + m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? convert_index(i) : 0), + m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? convert_index(i) : 0), + m_blockRows(BlockRows==1 ? 1 : xpr.rows()), + m_blockCols(BlockCols==1 ? 1 : xpr.cols()) + {} + + /** Dynamic-size constructor + */ + inline BlockImpl(XprType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols) + : m_matrix(xpr), m_startRow(convert_index(startRow)), m_startCol(convert_index(startCol)), m_blockRows(convert_index(blockRows)), m_blockCols(convert_index(blockCols)) + {} + + inline Index rows() const { return m_blockRows.value(); } + inline Index cols() const { return m_blockCols.value(); } + + inline Scalar& coeffRef(Index row, Index col) + { + return m_matrix.coeffRef(row + m_startRow.value(), col + m_startCol.value()); + } + + inline const Scalar coeff(Index row, Index col) const + { + return m_matrix.coeff(row + m_startRow.value(), col + m_startCol.value()); + } + + inline Scalar& coeffRef(Index index) + { + return m_matrix.coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index), + m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0)); + } + + inline const Scalar coeff(Index index) const + { + return m_matrix.coeff(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index), + m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0)); + } + + inline const XprType& nestedExpression() const { return m_matrix; } + inline XprType& nestedExpression() { return m_matrix; } + Index startRow() const { return m_startRow.value(); } + Index startCol() const { return m_startCol.value(); } + Index blockRows() const { return m_blockRows.value(); } + Index blockCols() const { return m_blockCols.value(); } + + protected: +// friend class internal::GenericSparseBlockInnerIteratorImpl<XprType,BlockRows,BlockCols,InnerPanel>; + friend struct internal::unary_evaluator<Block<XprType,BlockRows,BlockCols,InnerPanel>, internal::IteratorBased, Scalar >; + + Index nonZeros() const { return Dynamic; } + + typename internal::ref_selector<XprType>::non_const_type m_matrix; + const internal::variable_if_dynamic<Index, XprType::RowsAtCompileTime == 1 ? 0 : Dynamic> m_startRow; + const internal::variable_if_dynamic<Index, XprType::ColsAtCompileTime == 1 ? 0 : Dynamic> m_startCol; + const internal::variable_if_dynamic<Index, RowsAtCompileTime> m_blockRows; + const internal::variable_if_dynamic<Index, ColsAtCompileTime> m_blockCols; + + protected: + // Disable assignment with clear error message. + // Note that simply removing operator= yields compilation errors with ICC+MSVC + template<typename T> + BlockImpl& operator=(const T&) + { + EIGEN_STATIC_ASSERT(sizeof(T)==0, THIS_SPARSE_BLOCK_SUBEXPRESSION_IS_READ_ONLY); + return *this; + } + +}; + +namespace internal { + +template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel> +struct unary_evaluator<Block<ArgType,BlockRows,BlockCols,InnerPanel>, IteratorBased > + : public evaluator_base<Block<ArgType,BlockRows,BlockCols,InnerPanel> > +{ + class InnerVectorInnerIterator; + class OuterVectorInnerIterator; + public: + typedef Block<ArgType,BlockRows,BlockCols,InnerPanel> XprType; + typedef typename XprType::StorageIndex StorageIndex; + typedef typename XprType::Scalar Scalar; + + enum { + IsRowMajor = XprType::IsRowMajor, + + OuterVector = (BlockCols==1 && ArgType::IsRowMajor) + | // FIXME | instead of || to please GCC 4.4.0 stupid warning "suggest parentheses around &&". + // revert to || as soon as not needed anymore. + (BlockRows==1 && !ArgType::IsRowMajor), + + CoeffReadCost = evaluator<ArgType>::CoeffReadCost, + Flags = XprType::Flags + }; + + typedef typename internal::conditional<OuterVector,OuterVectorInnerIterator,InnerVectorInnerIterator>::type InnerIterator; + + explicit unary_evaluator(const XprType& op) + : m_argImpl(op.nestedExpression()), m_block(op) + {} + + inline Index nonZerosEstimate() const { + Index nnz = m_block.nonZeros(); + if(nnz<0) + return m_argImpl.nonZerosEstimate() * m_block.size() / m_block.nestedExpression().size(); + return nnz; + } + + protected: + typedef typename evaluator<ArgType>::InnerIterator EvalIterator; + + evaluator<ArgType> m_argImpl; + const XprType &m_block; +}; + +template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel> +class unary_evaluator<Block<ArgType,BlockRows,BlockCols,InnerPanel>, IteratorBased>::InnerVectorInnerIterator + : public EvalIterator +{ + enum { IsRowMajor = unary_evaluator::IsRowMajor }; + const XprType& m_block; + Index m_end; +public: + + EIGEN_STRONG_INLINE InnerVectorInnerIterator(const unary_evaluator& aEval, Index outer) + : EvalIterator(aEval.m_argImpl, outer + (IsRowMajor ? aEval.m_block.startRow() : aEval.m_block.startCol())), + m_block(aEval.m_block), + m_end(IsRowMajor ? aEval.m_block.startCol()+aEval.m_block.blockCols() : aEval.m_block.startRow()+aEval.m_block.blockRows()) + { + while( (EvalIterator::operator bool()) && (EvalIterator::index() < (IsRowMajor ? m_block.startCol() : m_block.startRow())) ) + EvalIterator::operator++(); + } + + inline StorageIndex index() const { return EvalIterator::index() - convert_index<StorageIndex>(IsRowMajor ? m_block.startCol() : m_block.startRow()); } + inline Index outer() const { return EvalIterator::outer() - (IsRowMajor ? m_block.startRow() : m_block.startCol()); } + inline Index row() const { return EvalIterator::row() - m_block.startRow(); } + inline Index col() const { return EvalIterator::col() - m_block.startCol(); } + + inline operator bool() const { return EvalIterator::operator bool() && EvalIterator::index() < m_end; } +}; + +template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel> +class unary_evaluator<Block<ArgType,BlockRows,BlockCols,InnerPanel>, IteratorBased>::OuterVectorInnerIterator +{ + enum { IsRowMajor = unary_evaluator::IsRowMajor }; + const unary_evaluator& m_eval; + Index m_outerPos; + const Index m_innerIndex; + Index m_end; + EvalIterator m_it; +public: + + EIGEN_STRONG_INLINE OuterVectorInnerIterator(const unary_evaluator& aEval, Index outer) + : m_eval(aEval), + m_outerPos( (IsRowMajor ? aEval.m_block.startCol() : aEval.m_block.startRow()) ), + m_innerIndex(IsRowMajor ? aEval.m_block.startRow() : aEval.m_block.startCol()), + m_end(IsRowMajor ? aEval.m_block.startCol()+aEval.m_block.blockCols() : aEval.m_block.startRow()+aEval.m_block.blockRows()), + m_it(m_eval.m_argImpl, m_outerPos) + { + EIGEN_UNUSED_VARIABLE(outer); + eigen_assert(outer==0); + + while(m_it && m_it.index() < m_innerIndex) ++m_it; + if((!m_it) || (m_it.index()!=m_innerIndex)) + ++(*this); + } + + inline StorageIndex index() const { return convert_index<StorageIndex>(m_outerPos - (IsRowMajor ? m_eval.m_block.startCol() : m_eval.m_block.startRow())); } + inline Index outer() const { return 0; } + inline Index row() const { return IsRowMajor ? 0 : index(); } + inline Index col() const { return IsRowMajor ? index() : 0; } + + inline Scalar value() const { return m_it.value(); } + inline Scalar& valueRef() { return m_it.valueRef(); } + + inline OuterVectorInnerIterator& operator++() + { + // search next non-zero entry + while(++m_outerPos<m_end) + { + // Restart iterator at the next inner-vector: + m_it.~EvalIterator(); + ::new (&m_it) EvalIterator(m_eval.m_argImpl, m_outerPos); + // search for the key m_innerIndex in the current outer-vector + while(m_it && m_it.index() < m_innerIndex) ++m_it; + if(m_it && m_it.index()==m_innerIndex) break; + } + return *this; + } + + inline operator bool() const { return m_outerPos < m_end; } +}; + +template<typename _Scalar, int _Options, typename _StorageIndex, int BlockRows, int BlockCols> +struct unary_evaluator<Block<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased> + : evaluator<SparseCompressedBase<Block<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true> > > +{ + typedef Block<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true> XprType; + typedef evaluator<SparseCompressedBase<XprType> > Base; + explicit unary_evaluator(const XprType &xpr) : Base(xpr) {} +}; + +template<typename _Scalar, int _Options, typename _StorageIndex, int BlockRows, int BlockCols> +struct unary_evaluator<Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased> + : evaluator<SparseCompressedBase<Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true> > > +{ + typedef Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true> XprType; + typedef evaluator<SparseCompressedBase<XprType> > Base; + explicit unary_evaluator(const XprType &xpr) : Base(xpr) {} +}; + +} // end namespace internal + + +} // end namespace Eigen + +#endif // EIGEN_SPARSE_BLOCK_H |