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							84 lines
						
					
					
						
							2.1 KiB
						
					
					
				
			
		
		
		
			
			
			
				
					
				
				
					
				
			
		
		
	
	
							84 lines
						
					
					
						
							2.1 KiB
						
					
					
				| 
 | |
| #include <iostream> | |
| #include <Eigen/Core> | |
| #include <bench/BenchUtil.h> | |
| using namespace Eigen; | |
| 
 | |
| #ifndef REPEAT | |
| #define REPEAT 100000 | |
| #endif | |
|  | |
| #ifndef TRIES | |
| #define TRIES 20 | |
| #endif | |
|  | |
| typedef double Scalar; | |
| 
 | |
| template <typename MatrixType> | |
| __attribute__ ((noinline)) void bench_reverse(const MatrixType& m) | |
| { | |
|   int rows = m.rows(); | |
|   int cols = m.cols(); | |
|   int size = m.size(); | |
| 
 | |
|   int repeats = (REPEAT*1000)/size; | |
|   MatrixType a = MatrixType::Random(rows,cols); | |
|   MatrixType b = MatrixType::Random(rows,cols); | |
| 
 | |
|   BenchTimer timerB, timerH, timerV; | |
| 
 | |
|   Scalar acc = 0; | |
|   int r = internal::random<int>(0,rows-1); | |
|   int c = internal::random<int>(0,cols-1); | |
|   for (int t=0; t<TRIES; ++t) | |
|   { | |
|     timerB.start(); | |
|     for (int k=0; k<repeats; ++k) | |
|     { | |
|       asm("#begin foo"); | |
|       b = a.reverse(); | |
|       asm("#end foo"); | |
|       acc += b.coeff(r,c); | |
|     } | |
|     timerB.stop(); | |
|   } | |
| 
 | |
|   if (MatrixType::RowsAtCompileTime==Dynamic) | |
|     std::cout << "dyn   "; | |
|   else | |
|     std::cout << "fixed "; | |
|   std::cout << rows << " x " << cols << " \t" | |
|             << (timerB.value() * REPEAT) / repeats << "s " | |
|             << "(" << 1e-6 * size*repeats/timerB.value() << " MFLOPS)\t"; | |
| 
 | |
|   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[] = {4,6,8,16,24,32,49,64,128,256,512,900,0}; | |
|   std::cout << "size            no sqrt                           standard"; | |
| //   #ifdef BENCH_GSL | |
| //   std::cout << "       GSL (standard + double + ATLAS)  "; | |
| //   #endif | |
|   std::cout << "\n"; | |
|   for (uint i=0; dynsizes[i]>0; ++i) | |
|   { | |
|     bench_reverse(Matrix<Scalar,Dynamic,Dynamic>(dynsizes[i],dynsizes[i])); | |
|     bench_reverse(Matrix<Scalar,Dynamic,1>(dynsizes[i]*dynsizes[i])); | |
|   } | |
| //   bench_reverse(Matrix<Scalar,2,2>()); | |
| //   bench_reverse(Matrix<Scalar,3,3>()); | |
| //   bench_reverse(Matrix<Scalar,4,4>()); | |
| //   bench_reverse(Matrix<Scalar,5,5>()); | |
| //   bench_reverse(Matrix<Scalar,6,6>()); | |
| //   bench_reverse(Matrix<Scalar,7,7>()); | |
| //   bench_reverse(Matrix<Scalar,8,8>()); | |
| //   bench_reverse(Matrix<Scalar,12,12>()); | |
| //   bench_reverse(Matrix<Scalar,16,16>()); | |
|   return 0; | |
| } | |
| 
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