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src/matrix/matrix-lib-speed-test.cc
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// matrix/matrix-lib-speed-test.cc
// Copyright 2009-2014 Microsoft Corporation; Mohit Agarwal; Lukas Burget;
// Ondrej Glembek; Saarland University (Author: Arnab Ghoshal);
// Go Vivace Inc.; Yanmin Qian; Jan Silovsky;
// Johns Hopkins University (Author: Daniel Povey);
// Haihua Xu; Wei Shi; Karel Vesely
// See ../../COPYING for clarification regarding multiple authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#include "matrix/matrix-lib.h"
#include "base/timer.h"
#include <numeric>
namespace kaldi {
template<typename Real> std::string NameOf() {
return (sizeof(Real) == 8 ? "<double>" : "<float>");
}
template<typename Real> static void CsvResult(std::string test, int dim, BaseFloat measure, std::string units) {
std::cout << test << "," << (sizeof(Real) == 8 ? "double" : "float") << "," << dim << "," << measure << "," << units << "
";
}
template<typename Real> static void UnitTestRealFftSpeed() {
// First, test RealFftInefficient.
Timer t;
MatrixIndexT sz = 512; // fairly typical size.
for (MatrixIndexT i = 0; i < 3000; i++) {
if (i % 1000 == 0) KALDI_LOG << "done 1000 [ == ten seconds of speech]";
Vector<Real> v(sz);
RealFft(&v, true);
}
CsvResult<Real>(__func__, 512, t.Elapsed(), "seconds");
}
template<typename Real> static void UnitTestSplitRadixRealFftSpeed() {
Timer t;
MatrixIndexT sz = 512; // fairly typical size.
SplitRadixRealFft<Real> srfft(sz);
for (MatrixIndexT i = 0; i < 6000; i++) {
if (i % 1000 == 0)
KALDI_LOG << "done 1000 [ == ten seconds of speech, split-radix]";
Vector<Real> v(sz);
srfft.Compute(v.Data(), true);
}
CsvResult<Real>(__func__, 512, t.Elapsed(), "seconds");
}
template<typename Real>
static void UnitTestSvdSpeed() {
Timer t;
std::vector<MatrixIndexT> sizes;
sizes.push_back(100);
sizes.push_back(150);
sizes.push_back(200);
sizes.push_back(300);
// sizes.push_back(500);
// sizes.push_back(750);
for (size_t i = 0; i < sizes.size(); i++) {
MatrixIndexT size = sizes[i];
{
Timer t1;
SpMatrix<Real> S(size);
Vector<Real> l(size);
S.Eig(&l);
CsvResult<Real>("Eig w/o eigenvectors", size, t1.Elapsed(), "seconds");
}
{
Timer t1;
SpMatrix<Real> S(size);
S.SetRandn();
Vector<Real> l(size);
Matrix<Real> P(size, size);
S.Eig(&l, &P);
CsvResult<Real>("Eig with eigenvectors", size, t1.Elapsed(), "seconds");
}
{
Timer t1;
Matrix<Real> M(size, size);
M.SetRandn();
Vector<Real> l(size);
M.Svd(&l, NULL, NULL);
CsvResult<Real>("SVD w/o eigenvectors", size, t1.Elapsed(), "seconds");
}
{
Timer t1;
Matrix<Real> M(size, size), U(size, size), V(size, size);
M.SetRandn();
Vector<Real> l(size);
M.Svd(&l, &U, &V);
CsvResult<Real>("SVD with eigenvectors", size, t1.Elapsed(), "seconds");
}
}
CsvResult<Real>(__func__, sizes.size(), t.Elapsed(), "seconds");
}
template<typename Real>
static void UnitTestAddMatMatSpeed() {
Timer t;
std::vector<MatrixIndexT> sizes;
sizes.push_back(512);
sizes.push_back(1024);
for (size_t i = 0; i < sizes.size(); i++) {
MatrixIndexT size = sizes[i];
{
Timer t1;
for (int32 j=0; j<2; j++) {
Matrix<Real> A(size,size), B(size,size), C(size,size);
A.SetRandn(); B.SetRandn();
C.AddMatMat(1.0, A, kNoTrans, B, kNoTrans, 0.0);
C.AddMatMat(1.0, A, kNoTrans, B, kTrans, 0.0);
C.AddMatMat(1.0, A, kTrans, B, kNoTrans, 0.0);
C.AddMatMat(1.0, A, kTrans, B, kTrans, 0.0);
}
CsvResult<Real>("AddMatMat", size, t1.Elapsed(), "seconds");
}
}
CsvResult<Real>(__func__, sizes.size(), t.Elapsed(), "seconds");
}
template<typename Real>
static void UnitTestAddRowSumMatSpeed() {
Timer t;
std::vector<MatrixIndexT> sizes;
int32 size = 4, num = 5;
for(int32 i = 0; i < num; i++) {
sizes.push_back(size);
size *= 4;
}
for(size_t i = 0; i < sizes.size(); i++) {
MatrixIndexT size = sizes[i];
Matrix<Real> M(size, size);
M.SetRandn();
Vector<Real> Vr(size);
int32 iter = 0;
BaseFloat time_in_secs = 0.02;
Timer t1;
for (;t1.Elapsed() < time_in_secs; iter++) {
Vr.AddRowSumMat(0.4, M, 0.5);
}
BaseFloat fdim = size;
BaseFloat gflops = (fdim * fdim * iter) / (t1.Elapsed() * 1.0e+09);
CsvResult<Real>("AddRowSumMat", size, gflops, "gigaflops");
}
CsvResult<Real>(__func__, sizes.size(), t.Elapsed(), "seconds");
}
template<typename Real>
static void UnitTestAddColSumMatSpeed() {
Timer t;
std::vector<MatrixIndexT> sizes;
int32 size = 4, num = 5;
for(int32 i = 0; i < num; i++) {
sizes.push_back(size);
size *= 4;
}
for(size_t i = 0; i < sizes.size(); i++) {
MatrixIndexT size = sizes[i];
Matrix<Real> M(size, size);
M.SetRandn();
Vector<Real> Vc(size);
int32 iter = 0;
BaseFloat time_in_secs = 0.02;
Timer t1;
for (;t1.Elapsed() < time_in_secs; iter++) {
Vc.AddColSumMat(0.4, M, 0.5);
}
BaseFloat fdim = size;
BaseFloat gflops = (fdim * fdim * iter) / (t1.Elapsed() * 1.0e+09);
CsvResult<Real>("AddColSumMat", size, gflops, "gigaflops");
}
CsvResult<Real>(__func__, sizes.size(), t.Elapsed(), "seconds");
}
template<typename Real>
static void UnitTestAddVecToRowsSpeed() {
Timer t;
std::vector<MatrixIndexT> sizes;
int32 size = 4, num = 5;
for(int32 i = 0; i < num; i++) {
sizes.push_back(size);
size *= 4;
}
for(size_t i = 0; i < sizes.size(); i++) {
MatrixIndexT size = sizes[i];
Matrix<Real> M(size, size);
M.SetRandn();
Vector<Real> Vc(size);
Vc.SetRandn();
int32 iter = 0;
BaseFloat time_in_secs = 0.02;
Timer t1;
for (;t1.Elapsed() < time_in_secs; iter++) {
M.AddVecToRows(0.5, Vc);
}
BaseFloat fdim = size;
BaseFloat gflops = (fdim * fdim * iter) / (t1.Elapsed() * 1.0e+09);
CsvResult<Real>("AddVecToRows", size, gflops, "gigaflops");
}
CsvResult<Real>(__func__, sizes.size(), t.Elapsed(), "seconds");
}
template<typename Real>
static void UnitTestAddVecToColsSpeed() {
Timer t;
std::vector<MatrixIndexT> sizes;
int32 size = 4, num = 5;
for(int32 i = 0; i < num; i++) {
sizes.push_back(size);
size *= 4;
}
for(size_t i = 0; i < sizes.size(); i++) {
MatrixIndexT size = sizes[i];
Matrix<Real> M(size, size);
M.SetRandn();
Vector<Real> Vr(size);
Vr.SetRandn();
int32 iter = 0;
BaseFloat time_in_secs = 0.02;
Timer t1;
for (;t1.Elapsed() < time_in_secs; iter++) {
M.AddVecToCols(0.5, Vr);
}
BaseFloat fdim = size;
BaseFloat gflops = (fdim * fdim * iter) / (t1.Elapsed() * 1.0e+09);
CsvResult<Real>("AddVecToCols", size, gflops, "gigaflops");
}
CsvResult<Real>(__func__, sizes.size(), t.Elapsed(), "seconds");
}
template<typename Real> static void MatrixUnitSpeedTest() {
UnitTestRealFftSpeed<Real>();
UnitTestSplitRadixRealFftSpeed<Real>();
UnitTestSvdSpeed<Real>();
UnitTestAddMatMatSpeed<Real>();
UnitTestAddRowSumMatSpeed<Real>();
UnitTestAddColSumMatSpeed<Real>();
UnitTestAddVecToRowsSpeed<Real>();
UnitTestAddVecToColsSpeed<Real>();
}
} // namespace kaldi
int main() {
using namespace kaldi;
Timer t;
KALDI_LOG << "Starting, Single precision";
kaldi::MatrixUnitSpeedTest<float>();
KALDI_LOG << "Starting, Double precision";
kaldi::MatrixUnitSpeedTest<double>();
KALDI_LOG << "Tests succeeded, total duration " << t.Elapsed() << " seconds.";
}
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