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update cholesky benchmark
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@ -9,7 +9,7 @@
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// -DSCALAR=double
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// -DSCALAR=double
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#include <Eigen/Array>
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#include <Eigen/Array>
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#include <Eigen/LLT>
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#include <Eigen/Cholesky>
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#include <bench/BenchUtil.h>
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#include <bench/BenchUtil.h>
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using namespace Eigen;
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using namespace Eigen;
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@ -76,7 +76,8 @@ __attribute__ ((noinline)) void benchLLT(const MatrixType& m)
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else
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else
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std::cout << "fixed ";
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std::cout << "fixed ";
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std::cout << covMat.rows() << " \t"
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std::cout << covMat.rows() << " \t"
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<< (timerNoSqrt.value() * REPEAT) / repeats << "s \t"
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<< (timerNoSqrt.value() * REPEAT) / repeats << "s "
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<< "(" << 1e-6 * cost*repeats/timerNoSqrt.value() << " MFLOPS)\t"
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<< (timerSqrt.value() * REPEAT) / repeats << "s "
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<< (timerSqrt.value() * REPEAT) / repeats << "s "
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<< "(" << 1e-6 * cost*repeats/timerSqrt.value() << " MFLOPS)\n";
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<< "(" << 1e-6 * cost*repeats/timerSqrt.value() << " MFLOPS)\n";
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@ -116,25 +117,25 @@ __attribute__ ((noinline)) void benchLLT(const MatrixType& m)
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int main(int argc, char* argv[])
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int main(int argc, char* argv[])
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{
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{
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const int dynsizes[] = {/*4,6,8,12,16,24,32,49,64,67,128,129,130,131,132,*/256,257,258,259,260,512,900,0};
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// const int dynsizes[] = {/*4,6,8,12,16,24,32,49,64,67,128,129,130,131,132,*/256,257,258,259,260,512,900,0};
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std::cout << "size no sqrt standard";
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std::cout << "size no sqrt standard";
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#ifdef BENCH_GSL
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// #ifdef BENCH_GSL
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std::cout << " GSL (standard + double + ATLAS) ";
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// std::cout << " GSL (standard + double + ATLAS) ";
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#endif
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// #endif
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std::cout << "\n";
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std::cout << "\n";
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//
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// for (uint i=0; dynsizes[i]>0; ++i)
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// benchLLT(Matrix<Scalar,Dynamic,Dynamic>(dynsizes[i],dynsizes[i]));
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for (uint i=0; dynsizes[i]>0; ++i)
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benchLLT(Matrix<Scalar,2,2>());
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benchLLT(Matrix<Scalar,Dynamic,Dynamic>(dynsizes[i],dynsizes[i]));
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benchLLT(Matrix<Scalar,3,3>());
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benchLLT(Matrix<Scalar,4,4>());
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// benchLLT(Matrix<Scalar,2,2>());
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benchLLT(Matrix<Scalar,5,5>());
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// benchLLT(Matrix<Scalar,3,3>());
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benchLLT(Matrix<Scalar,6,6>());
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// benchLLT(Matrix<Scalar,4,4>());
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benchLLT(Matrix<Scalar,7,7>());
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// benchLLT(Matrix<Scalar,5,5>());
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benchLLT(Matrix<Scalar,8,8>());
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// benchLLT(Matrix<Scalar,6,6>());
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benchLLT(Matrix<Scalar,12,12>());
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// benchLLT(Matrix<Scalar,7,7>());
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benchLLT(Matrix<Scalar,16,16>());
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// benchLLT(Matrix<Scalar,8,8>());
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// benchLLT(Matrix<Scalar,12,12>());
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// benchLLT(Matrix<Scalar,16,16>());
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return 0;
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return 0;
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}
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}
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