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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-12 11:11:40 -0800
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-12 11:11:40 -0800
commit42673c3a588ce4cc20b02ab20e5e9d38b64a3cb4 (patch)
tree1545b8e2411a774728685a4da519058897d49ee5 /third_party/eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h
parentccf01f9d77b28b649777f5a937a295f6dee2a130 (diff)
Deleted the remainder of the local copy of eigen that is shipped with
TensorFlow.
Diffstat (limited to 'third_party/eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h')
-rw-r--r--third_party/eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h181
1 files changed, 0 insertions, 181 deletions
diff --git a/third_party/eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h b/third_party/eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h
deleted file mode 100644
index ab1a266a90..0000000000
--- a/third_party/eigen3/Eigen/src/SparseCore/MappedSparseMatrix.h
+++ /dev/null
@@ -1,181 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2008 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_MAPPED_SPARSEMATRIX_H
-#define EIGEN_MAPPED_SPARSEMATRIX_H
-
-namespace Eigen {
-
-/** \class MappedSparseMatrix
- *
- * \brief Sparse matrix
- *
- * \param _Scalar the scalar type, i.e. the type of the coefficients
- *
- * See http://www.netlib.org/linalg/html_templates/node91.html for details on the storage scheme.
- *
- */
-namespace internal {
-template<typename _Scalar, int _Flags, typename _Index>
-struct traits<MappedSparseMatrix<_Scalar, _Flags, _Index> > : traits<SparseMatrix<_Scalar, _Flags, _Index> >
-{};
-}
-
-template<typename _Scalar, int _Flags, typename _Index>
-class MappedSparseMatrix
- : public SparseMatrixBase<MappedSparseMatrix<_Scalar, _Flags, _Index> >
-{
- public:
- EIGEN_SPARSE_PUBLIC_INTERFACE(MappedSparseMatrix)
- enum { IsRowMajor = Base::IsRowMajor };
-
- protected:
-
- Index m_outerSize;
- Index m_innerSize;
- Index m_nnz;
- Index* m_outerIndex;
- Index* m_innerIndices;
- Scalar* m_values;
-
- public:
-
- inline Index rows() const { return IsRowMajor ? m_outerSize : m_innerSize; }
- inline Index cols() const { return IsRowMajor ? m_innerSize : m_outerSize; }
- inline Index innerSize() const { return m_innerSize; }
- inline Index outerSize() const { return m_outerSize; }
-
- bool isCompressed() const { return true; }
-
- //----------------------------------------
- // direct access interface
- inline const Scalar* valuePtr() const { return m_values; }
- inline Scalar* valuePtr() { return m_values; }
-
- inline const Index* innerIndexPtr() const { return m_innerIndices; }
- inline Index* innerIndexPtr() { return m_innerIndices; }
-
- inline const Index* outerIndexPtr() const { return m_outerIndex; }
- inline Index* outerIndexPtr() { return m_outerIndex; }
- //----------------------------------------
-
- inline Scalar coeff(Index row, Index col) const
- {
- const Index outer = IsRowMajor ? row : col;
- const Index inner = IsRowMajor ? col : row;
-
- Index start = m_outerIndex[outer];
- Index end = m_outerIndex[outer+1];
- if (start==end)
- return Scalar(0);
- else if (end>0 && inner==m_innerIndices[end-1])
- return m_values[end-1];
- // ^^ optimization: let's first check if it is the last coefficient
- // (very common in high level algorithms)
-
- const Index* r = std::lower_bound(&m_innerIndices[start],&m_innerIndices[end-1],inner);
- const Index id = r-&m_innerIndices[0];
- return ((*r==inner) && (id<end)) ? m_values[id] : Scalar(0);
- }
-
- inline Scalar& coeffRef(Index row, Index col)
- {
- const Index outer = IsRowMajor ? row : col;
- const Index inner = IsRowMajor ? col : row;
-
- Index start = m_outerIndex[outer];
- Index end = m_outerIndex[outer+1];
- eigen_assert(end>=start && "you probably called coeffRef on a non finalized matrix");
- eigen_assert(end>start && "coeffRef cannot be called on a zero coefficient");
- Index* r = std::lower_bound(&m_innerIndices[start],&m_innerIndices[end],inner);
- const Index id = r-&m_innerIndices[0];
- eigen_assert((*r==inner) && (id<end) && "coeffRef cannot be called on a zero coefficient");
- return m_values[id];
- }
-
- class InnerIterator;
- class ReverseInnerIterator;
-
- /** \returns the number of non zero coefficients */
- inline Index nonZeros() const { return m_nnz; }
-
- inline MappedSparseMatrix(Index rows, Index cols, Index nnz, Index* outerIndexPtr, Index* innerIndexPtr, Scalar* valuePtr)
- : m_outerSize(IsRowMajor?rows:cols), m_innerSize(IsRowMajor?cols:rows), m_nnz(nnz), m_outerIndex(outerIndexPtr),
- m_innerIndices(innerIndexPtr), m_values(valuePtr)
- {}
-
- /** Empty destructor */
- inline ~MappedSparseMatrix() {}
-};
-
-template<typename Scalar, int _Flags, typename _Index>
-class MappedSparseMatrix<Scalar,_Flags,_Index>::InnerIterator
-{
- public:
- InnerIterator(const MappedSparseMatrix& mat, Index outer)
- : m_matrix(mat),
- m_outer(outer),
- m_id(mat.outerIndexPtr()[outer]),
- m_start(m_id),
- m_end(mat.outerIndexPtr()[outer+1])
- {}
-
- inline InnerIterator& operator++() { m_id++; return *this; }
-
- inline Scalar value() const { return m_matrix.valuePtr()[m_id]; }
- inline Scalar& valueRef() { return const_cast<Scalar&>(m_matrix.valuePtr()[m_id]); }
-
- inline Index index() const { return m_matrix.innerIndexPtr()[m_id]; }
- inline Index row() const { return IsRowMajor ? m_outer : index(); }
- inline Index col() const { return IsRowMajor ? index() : m_outer; }
-
- inline operator bool() const { return (m_id < m_end) && (m_id>=m_start); }
-
- protected:
- const MappedSparseMatrix& m_matrix;
- const Index m_outer;
- Index m_id;
- const Index m_start;
- const Index m_end;
-};
-
-template<typename Scalar, int _Flags, typename _Index>
-class MappedSparseMatrix<Scalar,_Flags,_Index>::ReverseInnerIterator
-{
- public:
- ReverseInnerIterator(const MappedSparseMatrix& mat, Index outer)
- : m_matrix(mat),
- m_outer(outer),
- m_id(mat.outerIndexPtr()[outer+1]),
- m_start(mat.outerIndexPtr()[outer]),
- m_end(m_id)
- {}
-
- inline ReverseInnerIterator& operator--() { m_id--; return *this; }
-
- inline Scalar value() const { return m_matrix.valuePtr()[m_id-1]; }
- inline Scalar& valueRef() { return const_cast<Scalar&>(m_matrix.valuePtr()[m_id-1]); }
-
- inline Index index() const { return m_matrix.innerIndexPtr()[m_id-1]; }
- inline Index row() const { return IsRowMajor ? m_outer : index(); }
- inline Index col() const { return IsRowMajor ? index() : m_outer; }
-
- inline operator bool() const { return (m_id <= m_end) && (m_id>m_start); }
-
- protected:
- const MappedSparseMatrix& m_matrix;
- const Index m_outer;
- Index m_id;
- const Index m_start;
- const Index m_end;
-};
-
-} // end namespace Eigen
-
-#endif // EIGEN_MAPPED_SPARSEMATRIX_H