aboutsummaryrefslogtreecommitdiffhomepage
path: root/bench/BenchSparseUtil.h
diff options
context:
space:
mode:
Diffstat (limited to 'bench/BenchSparseUtil.h')
-rw-r--r--bench/BenchSparseUtil.h75
1 files changed, 75 insertions, 0 deletions
diff --git a/bench/BenchSparseUtil.h b/bench/BenchSparseUtil.h
new file mode 100644
index 000000000..97838f4b1
--- /dev/null
+++ b/bench/BenchSparseUtil.h
@@ -0,0 +1,75 @@
+
+#include <Eigen/Array>
+#include <Eigen/Sparse>
+#include <bench/BenchTimer.h>
+
+
+
+using namespace std;
+using namespace Eigen;
+USING_PART_OF_NAMESPACE_EIGEN
+
+#ifndef SIZE
+#define SIZE 1024
+#endif
+
+#ifndef DENSITY
+#define DENSITY 0.01
+#endif
+
+#ifndef SCALAR
+#define SCALAR float
+#endif
+
+typedef SCALAR Scalar;
+typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
+typedef SparseMatrix<Scalar> EigenSparseMatrix;
+
+void fillMatrix(float density, int rows, int cols, EigenSparseMatrix& dst)
+{
+ dst.startFill(rows*cols*density);
+ for(int j = 0; j < cols; j++)
+ {
+ for(int i = 0; i < rows; i++)
+ {
+ Scalar v = (ei_random<float>(0,1) < density) ? ei_random<Scalar>() : 0;
+ if (v!=0)
+ dst.fill(i,j) = v;
+ }
+ }
+ dst.endFill();
+}
+
+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> MtlSparse;
+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