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// USAGE: eigen_benchmarks <subroutine> <size>
//
// Benchmarks BLAS subroutines using Eigen's implementation. Will
// construct random size x size matrices and/or size x 1 vectors
// to test the subroutine with.
//
// Accepted values for subroutine are:
// L1: scal, copy, axpy, dot, nrm2
// L2: gemv_notrans, gemv_trans
// L3: gemm_notrans, gemm_trans_A, gemm_trans_B, gemm_trans_AB
//
#include "clock.h"
#include "macros.h"
#include <Eigen/Eigen>
#include <iomanip>
#include <iostream>
#include <string>
template<class T>
std::string type_name();
template<>
std::string type_name<float>() {
return "s";
}
template<>
std::string type_name<double>() {
return "d";
}
struct BenchmarksBase {
virtual void bench_copy(int N) = 0;
virtual void bench_scal(int N) = 0;
virtual void bench_axpy(int N) = 0;
virtual void bench_dot(int N) = 0;
virtual void bench_asum(int N) = 0;
virtual void bench_gemv_notrans(int N) = 0;
virtual void bench_gemv_trans(int N) = 0;
virtual void bench_ger(int N) = 0;
virtual void bench_gemm_notrans(int N) = 0;
virtual void bench_gemm_transA(int N) = 0;
virtual void bench_gemm_transB(int N) = 0;
virtual void bench_gemm_transAB(int N) = 0;
};
template<class T>
struct Benchmarks : BenchmarksBase {
typedef T Scalar;
typedef Eigen::Matrix<T, Eigen::Dynamic, 1> Vector;
typedef Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic> Matrix;
Scalar random_scalar() {
Vector x(1);
x.setRandom();
return x[0];
}
Vector random_vector(int N) {
Vector x(N);
x.setRandom();
return x;
}
Matrix random_matrix(int N) {
Matrix A(N, N);
A.setRandom();
return A;
}
Benchmarks(std::string n)
: name(n) {
}
void run(std::string benchmark, int size) {
if (benchmark == "copy") {
bench_copy(size);
} else if (benchmark == "scal") {
bench_scal(size);
} else if (benchmark == "axpy") {
bench_axpy(size);
} else if (benchmark == "dot") {
bench_dot(size);
} else if (benchmark == "asum") {
bench_asum(size);
} else if (benchmark == "gemv_notrans") {
bench_gemv_notrans(size);
} else if (benchmark == "gemv_trans") {
bench_gemv_trans(size);
} else if (benchmark == "ger") {
bench_ger(size);
} else if (benchmark == "gemm_notrans") {
bench_gemm_notrans(size);
} else if (benchmark == "gemm_transA") {
bench_gemm_transA(size);
} else if (benchmark == "gemm_transB") {
bench_gemm_transB(size);
} else if (benchmark == "gemm_transAB") {
bench_gemm_transAB(size);
}
}
Scalar result;
L1Benchmark(copy, type_name<T>(), y = x);
L1Benchmark(scal, type_name<T>(), x = alpha * x);
L1Benchmark(axpy, type_name<T>(), y = alpha * x + y);
L1Benchmark(dot, type_name<T>(), result = x.dot(y));
L1Benchmark(asum, type_name<T>(), result = x.array().abs().sum());
L2Benchmark(gemv_notrans, type_name<T>(), y = alpha * A * x + beta * y);
L2Benchmark(gemv_trans, type_name<T>(), y = alpha * A.transpose() * x + beta * y);
L2Benchmark(ger, type_name<T>(), A = alpha * x * y.transpose() + A);
L3Benchmark(gemm_notrans, type_name<T>(), C = alpha * A * B + beta * C);
L3Benchmark(gemm_transA, type_name<T>(), C = alpha * A.transpose() * B + beta * C);
L3Benchmark(gemm_transB, type_name<T>(), C = alpha * A * B.transpose() + beta * C);
L3Benchmark(gemm_transAB, type_name<T>(), C = alpha * A.transpose() * B.transpose() + beta * C);
private:
std::string name;
};
int main(int argc, char *argv[]) {
if (argc != 3) {
std::cout << "USAGE: eigen_benchmarks <subroutine> <size>\n";
return 0;
}
std::string subroutine = argv[1];
char type = subroutine[0];
int size = std::stoi(argv[2]);
subroutine = subroutine.substr(1);
if (type == 's') {
Benchmarks<float>("Eigen").run(subroutine, size);
} else if (type == 'd') {
Benchmarks<double>("Eigen").run(subroutine, size);
}
return 0;
}
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