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author | Stanislaw Halik <sthalik@misaki.pl> | 2016-09-18 12:42:15 +0200 |
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committer | Stanislaw Halik <sthalik@misaki.pl> | 2016-11-02 15:12:04 +0100 |
commit | 44861dcbfeee041223c4aac1ee075e92fa4daa01 (patch) | |
tree | 6dfdfd9637846a7aedd71ace97d7d2ad366496d7 /eigen/bench/BenchSparseUtil.h | |
parent | f3fe458b9e0a29a99a39d47d9a76dc18964b6fec (diff) |
update
Diffstat (limited to 'eigen/bench/BenchSparseUtil.h')
-rw-r--r-- | eigen/bench/BenchSparseUtil.h | 149 |
1 files changed, 149 insertions, 0 deletions
diff --git a/eigen/bench/BenchSparseUtil.h b/eigen/bench/BenchSparseUtil.h new file mode 100644 index 0000000..13981f6 --- /dev/null +++ b/eigen/bench/BenchSparseUtil.h @@ -0,0 +1,149 @@ + +#include <Eigen/Sparse> +#include <bench/BenchTimer.h> +#include <set> + +using namespace std; +using namespace Eigen; +using namespace Eigen; + +#ifndef SIZE +#define SIZE 1024 +#endif + +#ifndef DENSITY +#define DENSITY 0.01 +#endif + +#ifndef SCALAR +#define SCALAR double +#endif + +typedef SCALAR Scalar; +typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix; +typedef Matrix<Scalar,Dynamic,1> DenseVector; +typedef SparseMatrix<Scalar> EigenSparseMatrix; + +void fillMatrix(float density, int rows, int cols, EigenSparseMatrix& dst) +{ + dst.reserve(double(rows)*cols*density); + for(int j = 0; j < cols; j++) + { + for(int i = 0; i < rows; i++) + { + Scalar v = (internal::random<float>(0,1) < density) ? internal::random<Scalar>() : 0; + if (v!=0) + dst.insert(i,j) = v; + } + } + dst.finalize(); +} + +void fillMatrix2(int nnzPerCol, int rows, int cols, EigenSparseMatrix& dst) +{ +// std::cout << "alloc " << nnzPerCol*cols << "\n"; + dst.reserve(nnzPerCol*cols); + for(int j = 0; j < cols; j++) + { + std::set<int> aux; + for(int i = 0; i < nnzPerCol; i++) + { + int k = internal::random<int>(0,rows-1); + while (aux.find(k)!=aux.end()) + k = internal::random<int>(0,rows-1); + aux.insert(k); + + dst.insert(k,j) = internal::random<Scalar>(); + } + } + dst.finalize(); +} + +void eiToDense(const EigenSparseMatrix& src, DenseMatrix& dst) +{ + dst.setZero(); + for (int j=0; j<src.cols(); ++j) + for (EigenSparseMatrix::InnerIterator it(src.derived(), j); it; ++it) + dst(it.index(),j) = it.value(); +} + +#ifndef NOGMM +#include "gmm/gmm.h" +typedef gmm::csc_matrix<Scalar> GmmSparse; +typedef gmm::col_matrix< gmm::wsvector<Scalar> > GmmDynSparse; +void eiToGmm(const EigenSparseMatrix& src, GmmSparse& dst) +{ + GmmDynSparse tmp(src.rows(), src.cols()); + for (int j=0; j<src.cols(); ++j) + for (EigenSparseMatrix::InnerIterator it(src.derived(), j); it; ++it) + tmp(it.index(),j) = it.value(); + gmm::copy(tmp, dst); +} +#endif + +#ifndef NOMTL +#include <boost/numeric/mtl/mtl.hpp> +typedef mtl::compressed2D<Scalar, mtl::matrix::parameters<mtl::tag::col_major> > MtlSparse; +typedef mtl::compressed2D<Scalar, mtl::matrix::parameters<mtl::tag::row_major> > MtlSparseRowMajor; +void eiToMtl(const EigenSparseMatrix& src, MtlSparse& dst) +{ + mtl::matrix::inserter<MtlSparse> ins(dst); + for (int j=0; j<src.cols(); ++j) + for (EigenSparseMatrix::InnerIterator it(src.derived(), j); it; ++it) + ins[it.index()][j] = it.value(); +} +#endif + +#ifdef CSPARSE +extern "C" { +#include "cs.h" +} +void eiToCSparse(const EigenSparseMatrix& src, cs* &dst) +{ + cs* aux = cs_spalloc (0, 0, 1, 1, 1); + for (int j=0; j<src.cols(); ++j) + for (EigenSparseMatrix::InnerIterator it(src.derived(), j); it; ++it) + if (!cs_entry(aux, it.index(), j, it.value())) + { + std::cout << "cs_entry error\n"; + exit(2); + } + dst = cs_compress(aux); +// cs_spfree(aux); +} +#endif // CSPARSE + +#ifndef NOUBLAS +#include <boost/numeric/ublas/vector.hpp> +#include <boost/numeric/ublas/matrix.hpp> +#include <boost/numeric/ublas/io.hpp> +#include <boost/numeric/ublas/triangular.hpp> +#include <boost/numeric/ublas/vector_sparse.hpp> +#include <boost/numeric/ublas/matrix_sparse.hpp> +#include <boost/numeric/ublas/vector_of_vector.hpp> +#include <boost/numeric/ublas/operation.hpp> + +typedef boost::numeric::ublas::compressed_matrix<Scalar,boost::numeric::ublas::column_major> UBlasSparse; + +void eiToUblas(const EigenSparseMatrix& src, UBlasSparse& dst) +{ + dst.resize(src.rows(), src.cols(), false); + for (int j=0; j<src.cols(); ++j) + for (EigenSparseMatrix::InnerIterator it(src.derived(), j); it; ++it) + dst(it.index(),j) = it.value(); +} + +template <typename EigenType, typename UblasType> +void eiToUblasVec(const EigenType& src, UblasType& dst) +{ + dst.resize(src.size()); + for (int j=0; j<src.size(); ++j) + dst[j] = src.coeff(j); +} +#endif + +#ifdef OSKI +extern "C" { +#include <oski/oski.h> +} +#endif |