bugfix in Map by Keir Mierle

This commit is contained in:
Gael Guennebaud
2009-01-18 09:53:06 +00:00
parent 22792c696f
commit 0c7974dd4d
3 changed files with 117 additions and 15 deletions

View File

@@ -25,6 +25,10 @@
#ifndef EIGEN_RANDOMSETTER_H
#define EIGEN_RANDOMSETTER_H
/** Represents a std::map
*
* \see RandomSetter
*/
template<typename Scalar> struct StdMapTraits
{
typedef int KeyType;
@@ -37,6 +41,10 @@ template<typename Scalar> struct StdMapTraits
};
#ifdef _HASH_MAP
/** Represents a __gnu_cxx::hash_map
*
* \see RandomSetter
*/
template<typename Scalar> struct GnuHashMapTraits
{
typedef int KeyType;
@@ -50,6 +58,10 @@ template<typename Scalar> struct GnuHashMapTraits
#endif
#ifdef _DENSE_HASH_MAP_H_
/** Represents a google::dense_hash_map
*
* \see RandomSetter
*/
template<typename Scalar> struct GoogleDenseHashMapTraits
{
typedef int KeyType;
@@ -64,6 +76,10 @@ template<typename Scalar> struct GoogleDenseHashMapTraits
#endif
#ifdef _SPARSE_HASH_MAP_H_
/** Represents a google::sparse_hash_map
*
* \see RandomSetter
*/
template<typename Scalar> struct GoogleSparseHashMapTraits
{
typedef int KeyType;
@@ -78,7 +94,19 @@ template<typename Scalar> struct GoogleSparseHashMapTraits
/** \class RandomSetter
*
* Typical usage:
* \brief The RandomSetter is a wrapper object allowing to set/update a sparse matrix with random access
*
* \param SparseMatrixType the type of the sparse matrix we are updating
* \param MapTraits a traits class representing the map implementation used for the temporary sparse storage.
* Its default value depends on the system.
* \param OuterPacketBits defines the number of rows (or columns) manage by a single map object
* as a power of two exponent.
*
* This class temporarily represents a sparse matrix object using a generic map implementation allowing for
* efficient random access. The conversion from the compressed representation to a hash_map object is performed
* in the RandomSetter constructor, while the sparse matrix is updated back at destruction time. This strategy
* suggest the use of nested blocks as in this example:
*
* \code
* SparseMatrix<double> m(rows,cols);
* {
@@ -91,11 +119,28 @@ template<typename Scalar> struct GoogleSparseHashMapTraits
* // and m is ready to use.
* \endcode
*
* \note for performance and memory consumption reasons it is highly recommended to use
* Google's hash library. To do so you have two options:
* - include <google/dense_hash_map> yourself \b before Eigen/Sparse header
* Since hash_map objects are not fully sorted, representing a full matrix as a single hash_map would
* involve a big and costly sort to update the compressed matrix back. To overcome this issue, a RandomSetter
* use multiple hash_map, each representing 2^OuterPacketBits columns or rows according to the storage order.
* To reach optimal performance, this value should be adjusted according to the average number of nonzeros
* per rows/columns.
*
* The possible values for the template parameter MapTraits are:
* - \b StdMapTraits: corresponds to std::map. (does not perform very well)
* - \b GnuHashMapTraits: corresponds to __gnu_cxx::hash_map (available only with GCC)
* - \b GoogleDenseHashMapTraits: corresponds to google::dense_hash_map (best efficiency, reasonable memory consumption)
* - \b GoogleSparseHashMapTraits: corresponds to google::sparse_hash_map (best memory consumption, relatively good performance)
*
* The default map implementation depends on the availability, and the preferred order is:
* GoogleSparseHashMapTraits, GnuHashMapTraits, and finally StdMapTraits.
*
* For performance and memory consumption reasons it is highly recommended to use one of
* the Google's hash_map implementation. To enable the support for them, you have two options:
* - \#include <google/dense_hash_map> yourself \b before Eigen/Sparse header
* - define EIGEN_GOOGLEHASH_SUPPORT
* In the later case the inclusion of <google/dense_hash_map> is made for you.
*
* \see http://code.google.com/p/google-sparsehash/
*/
template<typename SparseMatrixType,
template <typename T> class MapTraits =
@@ -121,11 +166,19 @@ class RandomSetter
enum {
SwapStorage = 1 - MapTraits<ScalarWrapper>::IsSorted,
TargetRowMajor = (SparseMatrixType::Flags & RowMajorBit) ? 1 : 0,
SetterRowMajor = SwapStorage ? 1-TargetRowMajor : TargetRowMajor
SetterRowMajor = SwapStorage ? 1-TargetRowMajor : TargetRowMajor,
IsUpperTriangular = SparseMatrixType::Flags & UpperTriangularBit,
IsLowerTriangular = SparseMatrixType::Flags & LowerTriangularBit
};
public:
/** Constructs a random setter object from the sparse matrix \a target
*
* Note that the initial value of \a target are imported. If you want to re-set
* a sparse matrix from scratch, then you must set it to zero first using the
* setZero() function.
*/
inline RandomSetter(SparseMatrixType& target)
: mp_target(&target)
{
@@ -153,6 +206,7 @@ class RandomSetter
(*this)(TargetRowMajor?j:it.index(), TargetRowMajor?it.index():j) = it.value();
}
/** Destructor updating back the sparse matrix target */
~RandomSetter()
{
KeyType keyBitsMask = (1<<m_keyBitsOffset)-1;
@@ -226,8 +280,11 @@ class RandomSetter
delete[] m_hashmaps;
}
/** \returns a reference to the coefficient at given coordinates \a row, \a col */
Scalar& operator() (int row, int col)
{
ei_assert(((!IsUpperTriangular) || (row<=col)) && "Invalid access to an upper triangular matrix");
ei_assert(((!IsLowerTriangular) || (col<=row)) && "Invalid access to an upper triangular matrix");
const int outer = SetterRowMajor ? row : col;
const int inner = SetterRowMajor ? col : row;
const int outerMajor = outer >> OuterPacketBits; // index of the packet/map
@@ -236,7 +293,11 @@ class RandomSetter
return m_hashmaps[outerMajor][key].value;
}
// might be slow
/** \returns the number of non zero coefficients
*
* \note According to the underlying map/hash_map implementation,
* this function might be quite expensive.
*/
int nonZeros() const
{
int nz = 0;