don't index Eigen

1 files changed, 0 insertions, 212 deletions

diff --git a/eigen/bench/benchEigenSolver.cpp b/eigen/bench/benchEigenSolver.cpp
deleted file mode 100644
index dd78c7e..0000000
--- a/eigen/bench/benchEigenSolver.cpp
+++ /dev/null
@@ -1,212 +0,0 @@
-
-// g++ -DNDEBUG -O3 -I.. benchEigenSolver.cpp  -o benchEigenSolver && ./benchEigenSolver
-// options:
-//  -DBENCH_GMM
-//  -DBENCH_GSL -lgsl /usr/lib/libcblas.so.3
-//  -DEIGEN_DONT_VECTORIZE
-//  -msse2
-//  -DREPEAT=100
-//  -DTRIES=10
-//  -DSCALAR=double
-
-#include <iostream>
-
-#include <Eigen/Core>
-#include <Eigen/QR>
-#include <bench/BenchUtil.h>
-using namespace Eigen;
-
-#ifndef REPEAT
-#define REPEAT 1000
-#endif
-
-#ifndef TRIES
-#define TRIES 4
-#endif
-
-#ifndef SCALAR
-#define SCALAR float
-#endif
-
-typedef SCALAR Scalar;
-
-template <typename MatrixType>
-__attribute__ ((noinline)) void benchEigenSolver(const MatrixType& m)
-{
-  int rows = m.rows();
-  int cols = m.cols();
-
-  int stdRepeats = std::max(1,int((REPEAT*1000)/(rows*rows*sqrt(rows))));
-  int saRepeats = stdRepeats * 4;
-
-  typedef typename MatrixType::Scalar Scalar;
-  typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType;
-
-  MatrixType a = MatrixType::Random(rows,cols);
-  SquareMatrixType covMat =  a * a.adjoint();
-
-  BenchTimer timerSa, timerStd;
-
-  Scalar acc = 0;
-  int r = internal::random<int>(0,covMat.rows()-1);
-  int c = internal::random<int>(0,covMat.cols()-1);
-  {
-    SelfAdjointEigenSolver<SquareMatrixType> ei(covMat);
-    for (int t=0; t<TRIES; ++t)
-    {
-      timerSa.start();
-      for (int k=0; k<saRepeats; ++k)
-      {
-        ei.compute(covMat);
-        acc += ei.eigenvectors().coeff(r,c);
-      }
-      timerSa.stop();
-    }
-  }
-
-  {
-    EigenSolver<SquareMatrixType> ei(covMat);
-    for (int t=0; t<TRIES; ++t)
-    {
-      timerStd.start();
-      for (int k=0; k<stdRepeats; ++k)
-      {
-        ei.compute(covMat);
-        acc += ei.eigenvectors().coeff(r,c);
-      }
-      timerStd.stop();
-    }
-  }
-
-  if (MatrixType::RowsAtCompileTime==Dynamic)
-    std::cout << "dyn   ";
-  else
-    std::cout << "fixed ";
-  std::cout << covMat.rows() << " \t"
-            << timerSa.value() * REPEAT / saRepeats << "s \t"
-            << timerStd.value() * REPEAT / stdRepeats << "s";
-
-  #ifdef BENCH_GMM
-  if (MatrixType::RowsAtCompileTime==Dynamic)
-  {
-    timerSa.reset();
-    timerStd.reset();
-
-    gmm::dense_matrix<Scalar> gmmCovMat(covMat.rows(),covMat.cols());
-    gmm::dense_matrix<Scalar> eigvect(covMat.rows(),covMat.cols());
-    std::vector<Scalar> eigval(covMat.rows());
-    eiToGmm(covMat, gmmCovMat);
-    for (int t=0; t<TRIES; ++t)
-    {
-      timerSa.start();
-      for (int k=0; k<saRepeats; ++k)
-      {
-        gmm::symmetric_qr_algorithm(gmmCovMat, eigval, eigvect);
-        acc += eigvect(r,c);
-      }
-      timerSa.stop();
-    }
-    // the non-selfadjoint solver does not compute the eigen vectors
-//     for (int t=0; t<TRIES; ++t)
-//     {
-//       timerStd.start();
-//       for (int k=0; k<stdRepeats; ++k)
-//       {
-//         gmm::implicit_qr_algorithm(gmmCovMat, eigval, eigvect);
-//         acc += eigvect(r,c);
-//       }
-//       timerStd.stop();
-//     }
-
-    std::cout << " | \t"
-              << timerSa.value() * REPEAT / saRepeats << "s"
-              << /*timerStd.value() * REPEAT / stdRepeats << "s"*/ "   na   ";
-  }
-  #endif
-
-  #ifdef BENCH_GSL
-  if (MatrixType::RowsAtCompileTime==Dynamic)
-  {
-    timerSa.reset();
-    timerStd.reset();
-
-    gsl_matrix* gslCovMat = gsl_matrix_alloc(covMat.rows(),covMat.cols());
-    gsl_matrix* gslCopy = gsl_matrix_alloc(covMat.rows(),covMat.cols());
-    gsl_matrix* eigvect = gsl_matrix_alloc(covMat.rows(),covMat.cols());
-    gsl_vector* eigval  = gsl_vector_alloc(covMat.rows());
-    gsl_eigen_symmv_workspace* eisymm = gsl_eigen_symmv_alloc(covMat.rows());
-    
-    gsl_matrix_complex* eigvectz = gsl_matrix_complex_alloc(covMat.rows(),covMat.cols());
-    gsl_vector_complex* eigvalz  = gsl_vector_complex_alloc(covMat.rows());
-    gsl_eigen_nonsymmv_workspace* einonsymm = gsl_eigen_nonsymmv_alloc(covMat.rows());
-    
-    eiToGsl(covMat, &gslCovMat);
-    for (int t=0; t<TRIES; ++t)
-    {
-      timerSa.start();
-      for (int k=0; k<saRepeats; ++k)
-      {
-        gsl_matrix_memcpy(gslCopy,gslCovMat);
-        gsl_eigen_symmv(gslCopy, eigval, eigvect, eisymm);
-        acc += gsl_matrix_get(eigvect,r,c);
-      }
-      timerSa.stop();
-    }
-    for (int t=0; t<TRIES; ++t)
-    {
-      timerStd.start();
-      for (int k=0; k<stdRepeats; ++k)
-      {
-        gsl_matrix_memcpy(gslCopy,gslCovMat);
-        gsl_eigen_nonsymmv(gslCopy, eigvalz, eigvectz, einonsymm);
-        acc += GSL_REAL(gsl_matrix_complex_get(eigvectz,r,c));
-      }
-      timerStd.stop();
-    }
-
-    std::cout << " | \t"
-              << timerSa.value() * REPEAT / saRepeats << "s \t"
-              << timerStd.value() * REPEAT / stdRepeats << "s";
-
-    gsl_matrix_free(gslCovMat);
-    gsl_vector_free(gslCopy);
-    gsl_matrix_free(eigvect);
-    gsl_vector_free(eigval);
-    gsl_matrix_complex_free(eigvectz);
-    gsl_vector_complex_free(eigvalz);
-    gsl_eigen_symmv_free(eisymm);
-    gsl_eigen_nonsymmv_free(einonsymm);
-  }
-  #endif
-
-  std::cout << "\n";
-  
-  // make sure the compiler does not optimize too much
-  if (acc==123)
-    std::cout << acc;
-}
-
-int main(int argc, char* argv[])
-{
-  const int dynsizes[] = {4,6,8,12,16,24,32,64,128,256,512,0};
-  std::cout << "size            selfadjoint       generic";
-  #ifdef BENCH_GMM
-  std::cout << "        GMM++          ";
-  #endif
-  #ifdef BENCH_GSL
-  std::cout << "       GSL (double + ATLAS)  ";
-  #endif
-  std::cout << "\n";
-  for (uint i=0; dynsizes[i]>0; ++i)
-    benchEigenSolver(Matrix<Scalar,Dynamic,Dynamic>(dynsizes[i],dynsizes[i]));
-
-  benchEigenSolver(Matrix<Scalar,2,2>());
-  benchEigenSolver(Matrix<Scalar,3,3>());
-  benchEigenSolver(Matrix<Scalar,4,4>());
-  benchEigenSolver(Matrix<Scalar,6,6>());
-  benchEigenSolver(Matrix<Scalar,8,8>());
-  benchEigenSolver(Matrix<Scalar,12,12>());
-  benchEigenSolver(Matrix<Scalar,16,16>());
-  return 0;
-}
-