aboutsummaryrefslogtreecommitdiffhomepage
path: root/bench/product_threshold.cpp
diff options
context:
space:
mode:
authorGravatar Hauke Heibel <hauke.heibel@gmail.com>2010-03-05 18:11:54 +0100
committerGravatar Hauke Heibel <hauke.heibel@gmail.com>2010-03-05 18:11:54 +0100
commit51b0159c96ed47181c14d269154be72340261c5e (patch)
tree74c886ab2a4f56b00889b0cae21af0d7efd2c7b6 /bench/product_threshold.cpp
parentf2a246c2258c400993a1bf52999a4b8e29bf4ff1 (diff)
Fixed line endings.
Diffstat (limited to 'bench/product_threshold.cpp')
-rw-r--r--bench/product_threshold.cpp286
1 files changed, 143 insertions, 143 deletions
diff --git a/bench/product_threshold.cpp b/bench/product_threshold.cpp
index 9e73731e8..dd6d15a07 100644
--- a/bench/product_threshold.cpp
+++ b/bench/product_threshold.cpp
@@ -1,143 +1,143 @@
-
-#include <iostream>
-#include <Eigen/Core>
-#include <bench/BenchTimer.h>
-
-using namespace Eigen;
-using namespace std;
-
-#define END 9
-
-template<int S> struct map_size { enum { ret = S }; };
-template<> struct map_size<10> { enum { ret = 20 }; };
-template<> struct map_size<11> { enum { ret = 50 }; };
-template<> struct map_size<12> { enum { ret = 100 }; };
-template<> struct map_size<13> { enum { ret = 300 }; };
-
-template<int M, int N,int K> struct alt_prod
-{
- enum {
- ret = M==1 && N==1 ? InnerProduct
- : K==1 ? OuterProduct
- : M==1 ? GemvProduct
- : N==1 ? GemvProduct
- : GemmProduct
- };
-};
-
-void print_mode(int mode)
-{
- if(mode==InnerProduct) std::cout << "i";
- if(mode==OuterProduct) std::cout << "o";
- if(mode==CoeffBasedProductMode) std::cout << "c";
- if(mode==LazyCoeffBasedProductMode) std::cout << "l";
- if(mode==GemvProduct) std::cout << "v";
- if(mode==GemmProduct) std::cout << "m";
-}
-
-template<int Mode, typename Lhs, typename Rhs, typename Res>
-EIGEN_DONT_INLINE void prod(const Lhs& a, const Rhs& b, Res& c)
-{
- c.noalias() += typename ProductReturnType<Lhs,Rhs,Mode>::Type(a,b);
-}
-
-template<int M, int N, int K, typename Scalar, int Mode>
-EIGEN_DONT_INLINE void bench_prod()
-{
- typedef Matrix<Scalar,M,K> Lhs; Lhs a; a.setRandom();
- typedef Matrix<Scalar,K,N> Rhs; Rhs b; b.setRandom();
- typedef Matrix<Scalar,M,N> Res; Res c; c.setRandom();
-
- BenchTimer t;
- double n = 2.*double(M)*double(N)*double(K);
- int rep = 100000./n;
- rep /= 2;
- if(rep<1) rep = 1;
- do {
- rep *= 2;
- t.reset();
- BENCH(t,1,rep,prod<CoeffBasedProductMode>(a,b,c));
- } while(t.best()<0.1);
-
- t.reset();
- BENCH(t,5,rep,prod<Mode>(a,b,c));
-
- print_mode(Mode);
- std::cout << int(1e-6*n*rep/t.best()) << "\t";
-}
-
-template<int N> struct print_n;
-template<int M, int N, int K> struct loop_on_m;
-template<int M, int N, int K, typename Scalar, int Mode> struct loop_on_n;
-
-template<int M, int N, int K>
-struct loop_on_k
-{
- static void run()
- {
- std::cout << "K=" << K << "\t";
- print_n<N>::run();
- std::cout << "\n";
-
- loop_on_m<M,N,K>::run();
- std::cout << "\n\n";
-
- loop_on_k<M,N,K+1>::run();
- }
-};
-
-template<int M, int N>
-struct loop_on_k<M,N,END> { static void run(){} };
-
-
-template<int M, int N, int K>
-struct loop_on_m
-{
- static void run()
- {
- std::cout << M << "f\t";
- loop_on_n<M,N,K,float,CoeffBasedProductMode>::run();
- std::cout << "\n";
-
- std::cout << M << "f\t";
- loop_on_n<M,N,K,float,-1>::run();
- std::cout << "\n";
-
- loop_on_m<M+1,N,K>::run();
- }
-};
-
-template<int N, int K>
-struct loop_on_m<END,N,K> { static void run(){} };
-
-template<int M, int N, int K, typename Scalar, int Mode>
-struct loop_on_n
-{
- static void run()
- {
- bench_prod<M,N,K,Scalar,Mode==-1? alt_prod<M,N,K>::ret : Mode>();
-
- loop_on_n<M,N+1,K,Scalar,Mode>::run();
- }
-};
-
-template<int M, int K, typename Scalar, int Mode>
-struct loop_on_n<M,END,K,Scalar,Mode> { static void run(){} };
-
-template<int N> struct print_n
-{
- static void run()
- {
- std::cout << map_size<N>::ret << "\t";
- print_n<N+1>::run();
- }
-};
-
-template<> struct print_n<END> { static void run(){} };
-
-int main()
-{
- loop_on_k<1,1,1>::run();
-
- return 0;
-}
+
+#include <iostream>
+#include <Eigen/Core>
+#include <bench/BenchTimer.h>
+
+using namespace Eigen;
+using namespace std;
+
+#define END 9
+
+template<int S> struct map_size { enum { ret = S }; };
+template<> struct map_size<10> { enum { ret = 20 }; };
+template<> struct map_size<11> { enum { ret = 50 }; };
+template<> struct map_size<12> { enum { ret = 100 }; };
+template<> struct map_size<13> { enum { ret = 300 }; };
+
+template<int M, int N,int K> struct alt_prod
+{
+ enum {
+ ret = M==1 && N==1 ? InnerProduct
+ : K==1 ? OuterProduct
+ : M==1 ? GemvProduct
+ : N==1 ? GemvProduct
+ : GemmProduct
+ };
+};
+
+void print_mode(int mode)
+{
+ if(mode==InnerProduct) std::cout << "i";
+ if(mode==OuterProduct) std::cout << "o";
+ if(mode==CoeffBasedProductMode) std::cout << "c";
+ if(mode==LazyCoeffBasedProductMode) std::cout << "l";
+ if(mode==GemvProduct) std::cout << "v";
+ if(mode==GemmProduct) std::cout << "m";
+}
+
+template<int Mode, typename Lhs, typename Rhs, typename Res>
+EIGEN_DONT_INLINE void prod(const Lhs& a, const Rhs& b, Res& c)
+{
+ c.noalias() += typename ProductReturnType<Lhs,Rhs,Mode>::Type(a,b);
+}
+
+template<int M, int N, int K, typename Scalar, int Mode>
+EIGEN_DONT_INLINE void bench_prod()
+{
+ typedef Matrix<Scalar,M,K> Lhs; Lhs a; a.setRandom();
+ typedef Matrix<Scalar,K,N> Rhs; Rhs b; b.setRandom();
+ typedef Matrix<Scalar,M,N> Res; Res c; c.setRandom();
+
+ BenchTimer t;
+ double n = 2.*double(M)*double(N)*double(K);
+ int rep = 100000./n;
+ rep /= 2;
+ if(rep<1) rep = 1;
+ do {
+ rep *= 2;
+ t.reset();
+ BENCH(t,1,rep,prod<CoeffBasedProductMode>(a,b,c));
+ } while(t.best()<0.1);
+
+ t.reset();
+ BENCH(t,5,rep,prod<Mode>(a,b,c));
+
+ print_mode(Mode);
+ std::cout << int(1e-6*n*rep/t.best()) << "\t";
+}
+
+template<int N> struct print_n;
+template<int M, int N, int K> struct loop_on_m;
+template<int M, int N, int K, typename Scalar, int Mode> struct loop_on_n;
+
+template<int M, int N, int K>
+struct loop_on_k
+{
+ static void run()
+ {
+ std::cout << "K=" << K << "\t";
+ print_n<N>::run();
+ std::cout << "\n";
+
+ loop_on_m<M,N,K>::run();
+ std::cout << "\n\n";
+
+ loop_on_k<M,N,K+1>::run();
+ }
+};
+
+template<int M, int N>
+struct loop_on_k<M,N,END> { static void run(){} };
+
+
+template<int M, int N, int K>
+struct loop_on_m
+{
+ static void run()
+ {
+ std::cout << M << "f\t";
+ loop_on_n<M,N,K,float,CoeffBasedProductMode>::run();
+ std::cout << "\n";
+
+ std::cout << M << "f\t";
+ loop_on_n<M,N,K,float,-1>::run();
+ std::cout << "\n";
+
+ loop_on_m<M+1,N,K>::run();
+ }
+};
+
+template<int N, int K>
+struct loop_on_m<END,N,K> { static void run(){} };
+
+template<int M, int N, int K, typename Scalar, int Mode>
+struct loop_on_n
+{
+ static void run()
+ {
+ bench_prod<M,N,K,Scalar,Mode==-1? alt_prod<M,N,K>::ret : Mode>();
+
+ loop_on_n<M,N+1,K,Scalar,Mode>::run();
+ }
+};
+
+template<int M, int K, typename Scalar, int Mode>
+struct loop_on_n<M,END,K,Scalar,Mode> { static void run(){} };
+
+template<int N> struct print_n
+{
+ static void run()
+ {
+ std::cout << map_size<N>::ret << "\t";
+ print_n<N+1>::run();
+ }
+};
+
+template<> struct print_n<END> { static void run(){} };
+
+int main()
+{
+ loop_on_k<1,1,1>::run();
+
+ return 0;
+}