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-rw-r--r--bench/BenchSparseUtil.h23
-rw-r--r--bench/sparse_product.cpp34
2 files changed, 37 insertions, 20 deletions
diff --git a/bench/BenchSparseUtil.h b/bench/BenchSparseUtil.h
index 51f77552e..f4b67cb8d 100644
--- a/bench/BenchSparseUtil.h
+++ b/bench/BenchSparseUtil.h
@@ -2,6 +2,7 @@
#include <Eigen/Array>
#include <Eigen/Sparse>
#include <bench/BenchTimer.h>
+#include <set>
using namespace std;
using namespace Eigen;
@@ -33,7 +34,27 @@ void fillMatrix(float density, int rows, int cols, EigenSparseMatrix& dst)
{
Scalar v = (ei_random<float>(0,1) < density) ? ei_random<Scalar>() : 0;
if (v!=0)
- dst.fill(i,j) = v;
+ dst.fillrand(i,j) = v;
+ }
+ }
+ dst.endFill();
+}
+
+void fillMatrix2(int nnzPerCol, int rows, int cols, EigenSparseMatrix& dst)
+{
+ std::cout << "alloc " << nnzPerCol*cols << "\n";
+ dst.startFill(nnzPerCol*cols);
+ for(int j = 0; j < cols; j++)
+ {
+ std::set<int> aux;
+ for(int i = 0; i < nnzPerCol; i++)
+ {
+ int k = ei_random<int>(0,rows-1);
+ while (aux.find(k)!=aux.end())
+ k = ei_random<int>(0,rows-1);
+ aux.insert(k);
+
+ dst.fillrand(k,j) = ei_random<Scalar>();
}
}
dst.endFill();
diff --git a/bench/sparse_product.cpp b/bench/sparse_product.cpp
index 61eb213e6..f1524d2e5 100644
--- a/bench/sparse_product.cpp
+++ b/bench/sparse_product.cpp
@@ -7,8 +7,8 @@
#define SIZE 10000
#endif
-#ifndef DENSITY
-#define DENSITY 0.01
+#ifndef NNZPERCOL
+#define NNZPERCOL 2
#endif
#ifndef REPEAT
@@ -17,12 +17,8 @@
#include "BenchSparseUtil.h"
-#ifndef MINDENSITY
-#define MINDENSITY 0.0004
-#endif
-
#ifndef NBTRIES
-#define NBTRIES 10
+#define NBTRIES 1
#endif
#define BENCH(X) \
@@ -58,15 +54,15 @@ int main(int argc, char *argv[])
EigenSparseMatrix sm1(rows,cols), sm2(rows,cols), sm3(rows,cols), sm4(rows,cols);
BenchTimer timer;
- for (float density = DENSITY; density>=MINDENSITY; density*=0.5)
+ for (int nnzPerCol = NNZPERCOL; nnzPerCol>1; nnzPerCol/=2)
{
- fillMatrix(density, rows, cols, sm1);
- fillMatrix(density, rows, cols, sm2);
+ fillMatrix2(nnzPerCol, rows, cols, sm1);
+ fillMatrix2(nnzPerCol, rows, cols, sm2);
// dense matrices
#ifdef DENSEMATRIX
{
- std::cout << "Eigen Dense\t" << density*100 << "%\n";
+ std::cout << "Eigen Dense\t" << nnzPerCol << "%\n";
DenseMatrix m1(rows,cols), m2(rows,cols), m3(rows,cols);
eiToDense(sm1, m1);
eiToDense(sm2, m2);
@@ -103,8 +99,8 @@ int main(int argc, char *argv[])
// eigen sparse matrices
{
- std::cout << "Eigen sparse\t" << sm1.nonZeros()/float(sm1.rows()*sm1.cols())*100 << "% * "
- << sm2.nonZeros()/float(sm2.rows()*sm2.cols())*100 << "%\n";
+ std::cout << "Eigen sparse\t" << sm1.nonZeros()/(float(sm1.rows())*float(sm1.cols()))*100 << "% * "
+ << sm2.nonZeros()/(float(sm2.rows())*float(sm2.cols()))*100 << "%\n";
// timer.reset();
// timer.start();
@@ -137,12 +133,12 @@ int main(int argc, char *argv[])
// timer.stop();
std::cout << " a * b' :\t" << timer.value() << endl;
}
-
+
// eigen dyn-sparse matrices
{
DynamicSparseMatrix<Scalar> m1(sm1), m2(sm2), m3(sm3);
- std::cout << "Eigen dyn-sparse\t" << m1.nonZeros()/float(m1.rows()*m1.cols())*100 << "% * "
- << m2.nonZeros()/float(m2.rows()*m2.cols())*100 << "%\n";
+ std::cout << "Eigen dyn-sparse\t" << m1.nonZeros()/(float(m1.rows())*float(m1.cols()))*100 << "% * "
+ << m2.nonZeros()/(float(m2.rows())*float(m2.cols()))*100 << "%\n";
// timer.reset();
// timer.start();
@@ -179,7 +175,7 @@ int main(int argc, char *argv[])
// CSparse
#ifdef CSPARSE
{
- std::cout << "CSparse \t" << density*100 << "%\n";
+ std::cout << "CSparse \t" << nnzPerCol << "%\n";
cs *m1, *m2, *m3;
eiToCSparse(sm1, m1);
eiToCSparse(sm2, m2);
@@ -205,7 +201,7 @@ int main(int argc, char *argv[])
// GMM++
#ifndef NOGMM
{
- std::cout << "GMM++ sparse\t" << density*100 << "%\n";
+ std::cout << "GMM++ sparse\t" << nnzPerCol << "%\n";
GmmDynSparse gmmT3(rows,cols);
GmmSparse m1(rows,cols), m2(rows,cols), m3(rows,cols);
eiToGmm(sm1, m1);
@@ -252,7 +248,7 @@ int main(int argc, char *argv[])
// MTL4
#ifndef NOMTL
{
- std::cout << "MTL4\t" << density*100 << "%\n";
+ std::cout << "MTL4\t" << nnzPerCol << "%\n";
MtlSparse m1(rows,cols), m2(rows,cols), m3(rows,cols);
eiToMtl(sm1, m1);
eiToMtl(sm2, m2);