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clean a bit the bench_gemm files
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@ -20,11 +20,6 @@ typedef Matrix<Scalar,Dynamic,Dynamic> M;
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extern "C" {
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#include <bench/btl/libs/C_BLAS/blas.h>
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void sgemm_kernel(int actual_mc, int cols, int actual_kc, float alpha,
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float* blockA, float* blockB, float* res, int resStride);
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void sgemm_oncopy(int actual_kc, int cols, const float* rhs, int rhsStride, float* blockB);
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void sgemm_itcopy(int actual_kc, int cols, const float* rhs, int rhsStride, float* blockB);
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}
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static float fone = 1;
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@ -72,7 +67,9 @@ int main(int argc, char ** argv)
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int rep = 1; // number of repetitions per try
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int tries = 5; // number of tries, we keep the best
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int s = 2048;
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int s = argc==2 ? std::atoi(argv[1]) : 2048;
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std::cout << "Matrix size = " << s << "\n";
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int m = s;
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int n = s;
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int p = s;
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@ -1,109 +0,0 @@
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#include <Eigen/Core>
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#include <bench/BenchTimer.h>
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extern "C"
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{
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#include <bench/btl/libs/C_BLAS/blas.h>
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#include <cblas.h>
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void sgemm_kernel(int actual_mc, int cols, int actual_kc, float alpha,
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float* blockA, float* blockB, float* res, int resStride);
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void sgemm_otcopy(int actual_kc, int cols, const float* rhs, int rhsStride, float* blockB);
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void sgemm_oncopy(int actual_kc, int cols, const float* rhs, int rhsStride, float* blockB);
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void sgemm_itcopy(int actual_kc, int cols, const float* rhs, int rhsStride, float* blockB);
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void sgemm_incopy(int actual_kc, int cols, const float* rhs, int rhsStride, float* blockB);
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}
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using namespace std;
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using namespace Eigen;
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#ifndef SCALAR
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#define SCALAR float
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#endif
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typedef SCALAR Scalar;
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typedef Matrix<Scalar,Dynamic,Dynamic> M;
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static float fone = 1;
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static float fzero = 0;
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static double done = 1;
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static double szero = 0;
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static char notrans = 'N';
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static char trans = 'T';
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static char nonunit = 'N';
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static char lower = 'L';
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static char right = 'R';
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static int intone = 1;
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void blas_gemm(const MatrixXf& a, const MatrixXf& b, MatrixXf& c)
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{
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int M = c.rows();
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int N = c.cols();
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int K = a.cols();
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int lda = a.rows();
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int ldb = b.rows();
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int ldc = c.rows();
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// c.noalias() += a * b;
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sgemm_(¬rans,¬rans,&M,&N,&K,&fone,
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const_cast<float*>(a.data()),&lda,
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const_cast<float*>(b.data()),&ldb,&fone,
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c.data(),&ldc);
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}
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void blas_gemm(const MatrixXd& a, const MatrixXd& b, MatrixXd& c)
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{
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int M = c.rows();
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int N = c.cols();
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int K = a.cols();
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int lda = a.rows();
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int ldb = b.rows();
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int ldc = c.rows();
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// c.noalias() += a * b;
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dgemm_(¬rans,¬rans,&M,&N,&K,&done,
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const_cast<double*>(a.data()),&lda,
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const_cast<double*>(b.data()),&ldb,&done,
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c.data(),&ldc);
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}
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int main(int argc, char **argv)
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{
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int rep = 1;
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int s = 2048;
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int m = s;
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int n = s;
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int p = s;
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const int N = 1;
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M a[N];
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M b[N];
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M c[N];
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for (int k=0; k<N; ++k)
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{
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a[k].resize(m,p); a[k].setOnes();
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b[k].resize(p,n); b[k].setOnes();
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c[k].resize(m,n); c[k].setOnes();
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}
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BenchTimer t;
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BENCH(t, 5, rep,
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for(int k=0;k<N;++k)
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blas_gemm(a[k],b[k],c[k]));
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// BENCH(t, 5, rep,
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// _Pragma("omp parallel for schedule(static,1)")
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// for(int k=0;k<N;++k)
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// blas_gemm(a[k],b[k],c[k]));
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std::cerr << "cpu " << t.best(CPU_TIMER)/rep << "s \t" << (double(m)*N*n*p*rep*2/t.best(CPU_TIMER))*1e-9 << " GFLOPS \t(" << t.total(CPU_TIMER) << "s)\n";
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std::cerr << "real " << t.best(REAL_TIMER)/rep << "s \t" << (double(m)*N*n*p*rep*2/t.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << t.total(REAL_TIMER) << "s)\n";
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return 0;
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}
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