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cu-matrix-speed-test.cc
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cu-matrix-speed-test.cc
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// cudamatrix/cu-matrix-speed-test.cc
// Copyright 2013 Johns Hopkins University (author: Daniel Povey)
// 2015 Guoguo Chen
// 2017 Shiyin Kang
// 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 <iostream>
#include <vector>
#include <cstdlib>
#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "cudamatrix/cu-matrix.h"
#include "cudamatrix/cu-vector.h"
#include "cudamatrix/cu-math.h"
#include "cudamatrix/cu-tp-matrix.h"
#include "cudamatrix/cu-sp-matrix.h"
#include "cudamatrix/cu-sparse-matrix.h"
using namespace kaldi;
namespace kaldi {
template<typename Real>
std::string NameOf() {
return (sizeof(Real) == 8 ? "<double>" : "<float>");
}
template<typename Real> void TestCuMatrixSum(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
M.SetRandn();
Timer tim;
int32 iter = 0;
Real result = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
result = M.Sum();
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG<< "For CuMatrix::TestCuMatrixSum" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops, result = " << result;
}
template<typename Real> void TestCuMatrixMax(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
M.SetRandn();
Timer tim;
int32 iter = 0;
Real result = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
result = M.Max();
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG<< "For CuMatrix::TestCuMatrixMax" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops, result = " << result;
}
template<typename Real> void TestCuMatrixMin(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
M.SetRandn();
Timer tim;
int32 iter = 0;
Real result = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
result = M.Min();
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG<< "For CuMatrix::TestCuMatrixMin" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops, result = " << result;
}
template<typename Real> void TestCuMatrixDivRowsVec(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
CuVector<Real> V(dim);
M.SetRandn();
V.SetRandn();
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.DivRowsVec(V);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG<< "For CuMatrix::DivRowsVec" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixTransposeNS(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim / 2);
M.SetRandn();
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.Transpose();
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter / 2) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG<< "For CuMatrix::TransposeNS" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixTransposeS(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
M.SetRandn();
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.Transpose();
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG<< "For CuMatrix::TransposeS" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixTransposeCross(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<float> Mf(dim / 2, dim), ref(dim, dim / 2);
CuMatrix<Real> Md(dim, dim / 2);
Mf.SetRandn();
ref = Mf;
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
Md.CopyFromMat(Mf, kTrans);
Mf.CopyFromMat(Md, kTrans);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG<< "For CuMatrix::TransposeCross" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
AssertEqual(ref, Mf);
}
template<typename Real> void TestCuMatrixAddMat(int32 dim, int32 num_row_blocks,
int32 num_col_blocks) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> A(dim, dim), B(dim * num_row_blocks, dim * num_col_blocks);
A.SetRandn();
B.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
for (int32 i = 0; i < num_row_blocks; i++) {
for (int32 j = 0; j < num_col_blocks; j++) {
A.AddMat(0.0, CuSubMatrix<Real>(B, i * dim, dim, j * dim, dim));
}
}
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * num_row_blocks * num_col_blocks * iter)
/ (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::AddMat" << NameOf<Real>() << ", for dim = "
<< dim << "numRowBlocks = "<< num_row_blocks << "numColBlocks = "
<< num_col_blocks << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixAddMatBlocks(int32 dim,
int32 num_row_blocks,
int32 num_col_blocks) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> A(dim, dim), B(dim * num_row_blocks, dim * num_col_blocks);
A.SetRandn();
B.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
A.AddMatBlocks(0.0, B);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * num_row_blocks * num_col_blocks * iter)
/ (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::AddMatBlocks" << NameOf<Real>() << ", for dim = "
<< dim << ", numRowBlocks = "<< num_row_blocks << ", numColBlocks = "
<< num_col_blocks << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixMatMat(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim), O(dim, dim);
M.SetRandn();
N.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
O.AddMatMat(1.0, M, kNoTrans, N, kNoTrans, 0.0);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::AddMatMat" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixMatMatBatched(int32 dim, int32 batchCount) {
std::vector<CuMatrix<Real>* > a(batchCount), b(batchCount), c(batchCount);
std::vector<CuSubMatrix<Real>* > A, B, C;
for (int32 i = 0; i < batchCount; i++) {
// first create a Matrix intance and then creat a SubMatrix instance from that
a[i] = new CuMatrix<Real>(dim, dim);
b[i] = new CuMatrix<Real>(dim, dim);
c[i] = new CuMatrix<Real>(dim, dim);
a[i]->SetRandn();
b[i]->SetRandn();
A.push_back(new CuSubMatrix<Real>(*(a[i]), 0, a[i]->NumRows(), 0,
a[i]->NumCols()));
B.push_back(new CuSubMatrix<Real>(*(b[i]), 0, b[i]->NumRows(), 0,
b[i]->NumCols()));
C.push_back(new CuSubMatrix<Real>(*(c[i]), 0, c[i]->NumRows(), 0,
c[i]->NumCols()));
}
BaseFloat time_in_secs = 0.025;
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
AddMatMatBatched(static_cast<Real>(1.0), C, A, kNoTrans, B, kNoTrans,
static_cast<Real>(0.0));
}
for (int32 i = 0; i< batchCount; i++) {
delete a[i]; delete b[i]; delete c[i];
delete A[i]; delete B[i]; delete C[i];
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * fdim * iter * batchCount) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::AddMatMatBatched" << NameOf<Real>() << ", for dim = " << dim
<< ", batchSize = " << batchCount << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixAddDiagVecMat(int32 dim, MatrixTransposeType trans) {
BaseFloat time_in_secs = 0.015;
CuMatrix<Real> M(dim, dim), N(dim, dim);
CuVector<Real> v(dim);
M.SetRandn();
v.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++)
N.AddDiagVecMat(1.0, v, M, trans, 0.0);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::AddDiagVecMat" << NameOf<Real>()
<< (trans == kTrans ? "[trans]" : "[no-trans]")
<< ", for dim = " << dim << ", speed was "
<< gflops << " gigaflops.";
}
template<typename Real> void TestSymInvertPosDef(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim * 2), N(dim, dim);
M.SetRandn();
N.SymAddMat2(1.0, M, kNoTrans, 0.0);
CuMatrix<Real> Ncopy(N);
int iter = 0;
Timer tim;
for (;tim.Elapsed() < time_in_secs; iter++) {
Ncopy.CopyFromMat(N);
Ncopy.SymInvertPosDef();
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::TestCuInvertPosDef" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real>
static void TestCuMatrixCompObjfAndDeriv(int32 dim) {
BaseFloat time_in_secs = 0.025;
// Previously tested for larger dims, but test was slow.
int32 n_r = dim, n_c = dim + Rand() % 5;
CuMatrix<Real> A(n_r, n_c), B(n_r, n_c);
B.SetRandn();
B.Add(1.0);
B.ApplyFloor(1.0e-10);
std::vector<MatrixElement<Real> > labels;
for(int i = 0; i < n_r; i++) {
for(int j = 0; j < n_c; j++) {
// have approximately one weight per row of the matrix.
if (Rand() % n_c == 0) {
A(i, j) = RandUniform();
MatrixElement<Real> t = {i, j, A(i, j)};
labels.push_back(t);
}
}
}
CuMatrix<Real> C(n_r, n_c);
int iter = 0;
Timer tim;
Real a = 0.0, b = 0.0;
for (;tim.Elapsed() < time_in_secs; iter++)
C.CompObjfAndDeriv(labels, B, &a, &b);
BaseFloat gflops = (n_r * n_c * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::CompObjfAndDeriv" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
// do it one more time for correctness test.
C.SetZero();
C.CompObjfAndDeriv(labels, B, &a, &b);
KALDI_ASSERT(ApproxEqual(b, A.Sum()));
// repeat the real test.
Real sum2; // sum(i, j) A(i, j) log(B(i, j));
{
CuMatrix<Real> Bcopy(B);
Bcopy.ApplyLog();
sum2 = TraceMatMat(Bcopy, A, kTrans);
}
KALDI_ASSERT(ApproxEqual(a, sum2));
B.InvertElements();
A.MulElements(B); // each element of A is now A(i, j) / B(i, j);
KALDI_ASSERT(ApproxEqual(A, C));
}
template<typename Real>
static void TestCuFindRowMaxId(int32 dim) {
int32 dimM = dim, dimN = dimM + Rand() % 5;
Matrix<Real> Hi(dimM, dimN);
Hi.SetRandn();
CuMatrix<Real> Di(dimM, dimN);
Di.CopyFromMat(Hi);
std::vector<int32> Hmax(dimM);
CuArray<int32> Dmax(dimN);
BaseFloat time_in_secs = 0.025;
int iter = 0;
Timer tim;
for (;tim.Elapsed() < time_in_secs; iter++)
Di.FindRowMaxId(&Dmax);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::FindRowMaxId" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
// on cpu
for(MatrixIndexT r=0; r<Hi.NumRows(); r++) {
Real max=-1.0e+20; int32 idx=-1;
for(MatrixIndexT c=0; c<Hi.NumCols(); c++) {
if(Hi(r,c) > max) { idx=c; max=Hi(r,c); }
}
Hmax[r] = idx;
}
std::vector<int32> Hmax2(dimM);
Dmax.CopyToVec(&Hmax2);
KALDI_ASSERT(Hmax == Hmax2);
}
template<typename Real> void TestCuMatrixSigmoid(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
N.Sigmoid(M);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::Sigmoid" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixHeaviside(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
N.ApplyHeaviside();
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::Heaviside" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixMulRowsGroupMat(int32 dim) {
BaseFloat time_in_secs = 0.025;
int32 group_size = 5;
CuMatrix<Real> M(dim, dim * group_size), N(dim, dim);
M.SetRandn();
N.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
M.MulRowsGroupMat(N);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * group_size * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::MulRowsGroupMat" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixDiffSoftmax(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim), L(dim, dim);
M.SetRandn();
N.SetRandn();
L.SetRandn();
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
N.DiffSoftmaxPerRow(M, L);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::DiffSoftmaxPerRow" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixDiffLogSoftmax(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim), L(dim, dim);
M.SetRandn();
N.SetRandn();
L.SetRandn();
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
N.DiffLogSoftmaxPerRow(M, L);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::DiffLogSoftmaxPerRow" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixSoftmax(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
N.ApplySoftMaxPerRow(M);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::Softmax" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixLogSoftmax(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
N.ApplyLogSoftMaxPerRow(M);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::LogSoftmax" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixGroupPnorm(int32 dim) {
BaseFloat time_in_secs = 0.025;
int32 group_size = 4;
CuMatrix<Real> M(dim, dim), N(dim, dim / group_size);
M.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++)
N.GroupPnorm(M, 2.0);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::GroupPnorm" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixDiffGroupPnorm(int32 dim) {
BaseFloat time_in_secs = 0.025;
int32 group_size = 8;
CuMatrix<Real> iv(dim, dim), ov(dim, dim / group_size);
CuMatrix<Real> id(dim, dim), od(dim, dim / group_size);
iv.SetRandn();
od.SetRandn();
ov.GroupPnorm(iv, 2.0);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++)
id.DiffGroupPnorm(iv, ov, od, 2.0);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::DiffGroupPnorm" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixGroupMax(int32 dim) {
BaseFloat time_in_secs = 0.025;
int32 group_size = 4;
CuMatrix<Real> M(dim, dim), N(dim, dim / group_size);
M.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++)
N.GroupMax(M);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::GroupMax" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixGroupMaxAllGroupSizes(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
M.SetRandn();
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs;) {
for (int group_size = 1; group_size <= dim; group_size++) {
if (dim % group_size == 0) {
CuMatrix<Real> N(dim, dim / group_size, kUndefined);
N.GroupMax(M);
iter++;
}
}
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::GroupMax (all group sizes)" << NameOf<Real>()
<< ", for dim = " << dim << ", speed was " << gflops
<< " gigaflops.";
}
template<typename Real> void TestCuMatrixGroupMaxDeriv(int32 dim) {
BaseFloat time_in_secs = 0.025;
int32 group_size = 4;
CuMatrix<Real> M(dim, dim), N(dim, dim / group_size), O(dim, dim);
M.SetRandn();
N.GroupMax(M);
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++)
O.GroupMaxDeriv(M, N);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::GroupMaxDeriv" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixTraceMatMat(int32 dim) {
for (int32 n = 0; n < 2; n++) {
MatrixTransposeType trans = (n == 0 ? kNoTrans : kTrans);
BaseFloat time_in_secs = 0.02;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {
TraceMatMat(M, N, trans);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::TraceMatMat" << NameOf<Real>()
<< (trans == kTrans ? " [transposed]" : "") << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
}
template<typename Real> void TestCuMatrixCholesky(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
M.AddToDiag(100.0);
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++)
M.Cholesky();
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::Cholesky" << NameOf<Real>()
<< ", for dim = " << dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixCopyLowerToUpper(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
M.SetRandn();
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.CopyLowerToUpper();
}
CuMatrix<Real> M2(M, kTrans);
AssertEqual(M, M2);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::CopyLowerToUpper" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixCopyFromTp(int32 dim, MatrixTransposeType trans) {
BaseFloat time_in_secs = 0.025;
CuTpMatrix<Real> T(dim);
T.SetRandn();
CuMatrix<Real> M(dim, dim);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.CopyFromTp(T, trans);
}
TpMatrix<Real> T_cpu(T);
Matrix<Real> M_cpu(T_cpu, trans);
Matrix<Real> M2_cpu(M);
AssertEqual(M_cpu, M2_cpu);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::CopyFromTp" << (trans == kNoTrans ? "[NoTrans]":"[Trans]")
<< NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixCopyFromSp(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuSpMatrix<Real> S(dim);
S.SetRandn();
CuMatrix<Real> M(dim, dim);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.CopyFromSp(S);
}
SpMatrix<Real> S_cpu(S);
Matrix<Real> M_cpu(S_cpu);
Matrix<Real> M2_cpu(M);
AssertEqual(M_cpu, M2_cpu);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::CopyFromSp" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixCopyUpperToLower(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
M.SetRandn();
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.CopyUpperToLower();
}
CuMatrix<Real> M2(M, kTrans);
AssertEqual(M, M2);
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::CopyUpperToLower" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixResize(int32 dim) {
BaseFloat time_in_secs = 0.025;
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
CuMatrix<Real>M(dim, dim, kUndefined); // we are testing the allocation and deallocation time.
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::TestCuMatrixResize" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixSetZeroAboveDiag(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim);
M.SetRandn();
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++)
M.SetZeroAboveDiag();
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::SetZeroAboveDiag" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real>
void TestCuMatrixLookup(int32 dim) {
BaseFloat time_in_secs = 0.025;
int32 dimM = dim, dimN = dim;
CuMatrix<Real> H(dimM, dimN);
H.SetRandn();
std::vector<Int32Pair> indices;
std::vector<Real> reference;
std::vector<Real> output;
// Generates the indices and the reference.
int32 num_index = dim * dim;
output.resize(num_index);
for (int32 j = 0; j < num_index; j++) {
MatrixIndexT r = Rand() % dimM;
MatrixIndexT c = Rand() % dimN;
Int32Pair tmp_pair;
tmp_pair.first = r;
tmp_pair.second = c;
indices.push_back(tmp_pair);
reference.push_back(H(r, c));
}
Timer tim;
int32 iter = 0;
for (; tim.Elapsed()< time_in_secs; iter++)
H.Lookup(indices, &(output[0]));
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::Lookup" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixCopyRows1(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
std::vector<int32> reorder(dim);
for (int32 i = 0; i < dim; i++) {
reorder[i] = i;
}
CuArray<int32> reorder_cuda(reorder);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.CopyRows(N, reorder_cuda);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::CopyRows" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixCopyRows2(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
std::vector<const Real*> reorder_src(dim, NULL);
for (int32 i = 0; i < dim; i++) {
reorder_src[i] = N.RowData(i);
}
CuArray<const Real*> reorder_src_cuda(reorder_src);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.CopyRows(reorder_src_cuda);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::CopyRows" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixCopyToRows(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
std::vector<Real*> reorder_dst(dim, NULL);
for (int32 i = 0; i < dim; i++) {
reorder_dst[i] = N.RowData(i);
}
CuArray<Real*> reorder_dst_cuda(reorder_dst);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.CopyToRows(reorder_dst_cuda);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::CopyToRows" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixAddRows1(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
std::vector<int32> reorder(dim);
for (int32 i = 0; i < dim; i++) {
reorder[i] = i;
}
CuArray<int32> reorder_cuda(reorder);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.AddRows(0.5, N, reorder_cuda);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::AddRows" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixAddRows2(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
std::vector<const Real*> reorder_src(dim, NULL);
for (int32 i = 0; i < dim; i++) {
reorder_src[i] = N.RowData(i);
}
CuArray<const Real*> reorder_src_cuda(reorder_src);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.AddRows(0.5, reorder_src_cuda);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::AddRows" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixAddToRows(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
std::vector<Real*> reorder_dst(dim, NULL);
for (int32 i = 0; i < dim; i++) {
reorder_dst[i] = N.RowData(i);
}
CuArray<Real*> reorder_dst_cuda(reorder_dst);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.AddToRows(0.5, reorder_dst_cuda);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::AddToRows" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuMatrixAddRowRanges(int32 dim) {
BaseFloat time_in_secs = 0.025;
CuMatrix<Real> M(dim, dim), N(dim, dim);
M.SetRandn();
N.SetRandn();
std::vector<Int32Pair> indexes(dim);
for (int32 i = 0; i < dim; i++) {
indexes[i].first = i;
indexes[i].second = i + 1;
}
CuArray<Int32Pair> indexes_cuda(indexes);
Timer tim;
int32 iter = 0;
for (; tim.Elapsed() < time_in_secs; iter++) {
M.AddRowRanges(N, indexes_cuda);
}
BaseFloat fdim = dim;
BaseFloat gflops = (fdim * fdim * iter) / (tim.Elapsed() * 1.0e+09);
KALDI_LOG << "For CuMatrix::AddRowRanges" << NameOf<Real>() << ", for dim = "
<< dim << ", speed was " << gflops << " gigaflops.";
}
template<typename Real> void TestCuSparseMatrixTraceMatSmat(int32 dim) {
for (int32 n = 0; n < 2; n++) {
MatrixTransposeType trans = (n == 0 ? kNoTrans : kTrans);
BaseFloat time_in_secs = 0.02;
CuMatrix<Real> M(dim, dim);
M.SetRandn();
std::vector<std::vector<std::pair<MatrixIndexT, Real> > > pairs(dim);
for (auto && row : pairs) {
row.push_back( { MatrixIndexT(Rand() % dim), Real(Rand() % dim) });
}
SparseMatrix<Real> Ncpu(dim, pairs);
CuSparseMatrix<Real> N(Ncpu);
Timer tim;
int32 iter = 0;
for (;tim.Elapsed() < time_in_secs; iter++) {