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src/cudamatrix/cu-sp-matrix-test.cc
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// cudamatrix/cu-sp-matrix-test.cc
//
// Copyright 2013 Ehsan Variani
// Lucas Ondel
// Johns Hopkins University (author: Daniel Povey)
// 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.
//
//
// UnitTests for testing cu-sp-matrix.h methods.
//
#include <iostream>
#include <vector>
#include <cstdlib>
#include "base/kaldi-common.h"
#include "cudamatrix/cu-device.h"
#include "cudamatrix/cu-sp-matrix.h"
#include "cudamatrix/cu-vector.h"
#include "cudamatrix/cu-math.h"
using namespace kaldi;
namespace kaldi {
/*
* Unit Tests
*/
template<typename Real>
static void UnitTestCuSpMatrixConstructor() {
for (MatrixIndexT i = 1; i < 10; i++) {
MatrixIndexT dim = 10 * i;
Matrix<Real> A(dim, dim);
A.SetRandn();
SpMatrix<Real> B(A, kTakeLower);
CuMatrix<Real> C(A);
CuSpMatrix<Real> D(C, kTakeLower);
SpMatrix<Real> E(dim);
D.CopyToSp(&E);
SpMatrix<Real> F(D);
AssertEqual(F, B);
//added by hxu, to test copy from SpMatrix to CuSpMatrix
AssertEqual(B, E);
KALDI_ASSERT(!B.IsUnit());
B.SetZero();
B.SetDiag(1.0);
KALDI_ASSERT(B.IsUnit());
}
}
template<typename Real>
static void UnitTestCuSpMatrixApproxEqual() {
for (int32 i = 0; i < 10; i++) {
int32 dim = 1 + Rand() % 10;
SpMatrix<Real> A(dim), B(dim);
A.SetRandn();
B.SetRandn();
BaseFloat threshold = 0.01;
for (int32 j = 0; j < 20; j++, threshold *= 1.3) {
bool b1 = A.ApproxEqual(B, threshold);
SpMatrix<Real> diff(A);
diff.AddSp(-1.0, B);
bool b2 = (diff.FrobeniusNorm() < threshold * std::max(A.FrobeniusNorm(),
B.FrobeniusNorm()));
KALDI_ASSERT(b1 == b2);
}
}
}
template<typename Real>
static void UnitTestCuSpMatrixOperator() {
SpMatrix<Real> A(100);
A.SetRandn();
CuSpMatrix<Real> B(100);
B.CopyFromSp(A);
for (MatrixIndexT i = 0; i < A.NumRows(); i++) {
for (MatrixIndexT j = 0; j <= i; j++)
KALDI_ASSERT(std::abs(A(i, j) - B(i, j)) < 0.0001);
}
}
template<typename Real>
static void UnitTestCuSpMatrixAddToDiag() {
for (MatrixIndexT i = 1; i < 10; i++) {
MatrixIndexT dim = 10*i;
SpMatrix<Real> A(dim);
A.SetRandn();
CuSpMatrix<Real> B(A);
Matrix<Real> D(A);
A.AddToDiag(i);
CuMatrix<Real> C(B);
B.AddToDiag(i);
SpMatrix<Real> E(dim);
B.CopyToSp(&E);
AssertEqual(A, E);
}
}
template<typename Real>
static void UnitTestCuSpMatrixCopyFromMat() {
for (MatrixIndexT i = 1; i < 10; i++) {
SpCopyType copy_type = (i % 3 == 0 ? kTakeMean :
(i % 3 == 1 ? kTakeLower : kTakeUpper));
MatrixIndexT dim = 10 * i + Rand() % 5;
CuMatrix<Real> A(dim, dim);
A.SetRandn();
Matrix<Real> A2(A);
CuSpMatrix<Real> B(A, copy_type);
SpMatrix<Real> B2(A2, copy_type);
SpMatrix<Real> B3(B);
if (!ApproxEqual(B2, B3) ) {
KALDI_ERR << "Matrices differ, A = " << A << ", B2 = " << B2 << ", B3(CUDA) = " << B3;
}
KALDI_ASSERT(B3.Trace() != 0);
}
}
template<typename Real>
static void UnitTestCuSpMatrixInvert() {
for (MatrixIndexT i = 1; i < 10; i++) {
MatrixIndexT dim = 10*i + Rand() % 5;
CuSpMatrix<Real> A(dim);
A.SetRandn();
KALDI_ASSERT(A.Trace() != 0.0); // true with probability 1...
SpMatrix<Real> B(A);
CuMatrix<Real> D(A);
A.AddMat2(1.0, D, kTrans, 1.0);
A.AddToDiag(i);
Matrix<Real> C(B);
B.AddMat2(1.0, C, kTrans, 1.0);
B.AddToDiag(i);
CuSpMatrix<Real> Acopy(A);
A.Invert();
B.Invert();
SpMatrix<Real> A2(A);
AssertEqual(A2, B);
CuMatrix<Real> I(dim, dim);
I.AddMatMat(1.0, CuMatrix<Real>(Acopy), kNoTrans, CuMatrix<Real>(A), kNoTrans, 0.0);
KALDI_ASSERT(I.IsUnit(0.01));
}
}
// TODO (variani) : fails for dim = 0
template<typename Real>
static void UnitTestCuSpMatrixAddVec2() {
for (int32 i = 0; i < 50; i++) {
MatrixIndexT dim = 1 + Rand() % 200;
SpMatrix<Real> A(dim);
A.SetRandn();
CuSpMatrix<Real> B(A);
Vector<Real> C(dim);
C.SetRandn();
CuVector<Real> D(C);
Real alpha = RandGauss();
A.AddVec2(alpha, C);
B.AddVec2(alpha, D);
SpMatrix<Real> E(dim);
B.CopyToSp(&E);
AssertEqual(A, E);
}
}
template<typename Real>
static void UnitTestCuSpMatrixAddMat2() {
for (MatrixIndexT i = 1; i < 10; i++) {
MatrixIndexT dim_row = 15 * i + Rand() % 10;
MatrixIndexT dim_col = 7 *i + Rand() % 10;
Matrix<Real> A(dim_row, dim_col);
A.SetRandn();
CuMatrix<Real> B(A);
SpMatrix<Real> C(dim_col);
C.SetRandn();
CuSpMatrix<Real> D(C);
const Real alpha = 2.0;
const Real beta = 3.0;
C.AddMat2(alpha, A, kTrans, beta);
D.AddMat2(alpha, B, kTrans, beta);
SpMatrix<Real> E(dim_col);
D.CopyToSp(&E);
AssertEqual(C, E);
}
}
template<typename Real>
static void UnitTestCuSpMatrixAddSp() {
for (MatrixIndexT i = 1; i < 50; i++) {
MatrixIndexT dim = 7 * i + Rand() % 10;
SpMatrix<Real> A(dim);
A.SetRandn();
CuSpMatrix<Real> B(A);
SpMatrix<Real> C(dim);
C.SetRandn();
const CuSpMatrix<Real> D(C);
const Real alpha = 2.0;
A.AddSp(alpha, C);
B.AddSp(alpha, D);
SpMatrix<Real> E(dim);
B.CopyToSp(&E);
AssertEqual(A, E);
}
}
template<typename Real, typename OtherReal>
static void UnitTestCuSpMatrixTraceSpSp() {
for (MatrixIndexT i = 1; i < 2; i++) {
MatrixIndexT dim = 100 + Rand() % 255;
SpMatrix<Real> A(dim);
A.SetRandn();
const CuSpMatrix<Real> B(A);
SpMatrix<OtherReal> C(dim);
C.SetRandn();
const CuSpMatrix<OtherReal> D(C);
Real t1 = TraceSpSp(A, C), t2 = TraceSpSp(B, D);
KALDI_ASSERT(ApproxEqual(t1, t2));
}
}
template<typename Real>
void UnitTestCuSpMatrixSetUnit() {
for (MatrixIndexT i = 1; i < 10; i++) {
MatrixIndexT dim = 100 * i + Rand() % 255;
if (i % 5 == 0) dim = 0;
CuSpMatrix<Real> S1(dim), S2(dim), S4(dim);
S1.SetRandn();
S2.SetRandn();
S4.SetRandn();
SpMatrix<Real> S3(dim);
S3.SetUnit();
S1.SetUnit();
S2.SetZero();
S2.SetDiag(1.0);
S4.SetZero();
S4.AddToDiag(0.4);
S4.AddToDiag(0.6);
CuSpMatrix<Real> cu_S3(S3);
KALDI_LOG << "S1 norm is " << S1.FrobeniusNorm();
KALDI_LOG << "S2 norm is " << S2.FrobeniusNorm();
KALDI_LOG << "S3 norm is " << S3.FrobeniusNorm();
AssertEqual(S1, cu_S3);
AssertEqual(S2, cu_S3);
AssertEqual(S4, cu_S3);
}
}
template<class Real>
static void UnitTestCuSpMatrixIO() {
for (int32 i = 0; i < 10; i++) {
int32 dimM = Rand() % 255;
if (i % 5 == 0) { dimM = 0; }
CuSpMatrix<Real> mat(dimM);
mat.SetRandn();
std::ostringstream os;
bool binary = (i % 4 < 2);
mat.Write(os, binary);
CuSpMatrix<Real> mat2;
std::istringstream is(os.str());
mat2.Read(is, binary);
AssertEqual(mat, mat2);
}
}
template<typename Real, typename OtherReal>
static void UnitTestCuSpMatrixAddSp() {
for (MatrixIndexT i = 1; i < 10; i++) {
MatrixIndexT dim = 100 * i + Rand() % 255;
SpMatrix<Real> A(dim);
A.SetRandn();
const CuSpMatrix<Real> B(A);
SpMatrix<OtherReal> C(dim);
C.SetRandn();
const CuSpMatrix<OtherReal> D(C);
A.AddSp(1.0, C);
B.AddSp(1.0, D);
AssertEqual(A, B);
}
}
template<typename Real> void CudaSpMatrixUnitTest() {
UnitTestCuSpMatrixIO<Real>();
UnitTestCuSpMatrixConstructor<Real>();
UnitTestCuSpMatrixOperator<Real>();
UnitTestCuSpMatrixApproxEqual<Real>();
UnitTestCuSpMatrixInvert<Real>();
UnitTestCuSpMatrixCopyFromMat<Real>();
UnitTestCuSpMatrixAddVec2<Real>();
UnitTestCuSpMatrixAddMat2<Real>();
UnitTestCuSpMatrixAddSp<Real>();
UnitTestCuSpMatrixAddToDiag<Real>();
UnitTestCuSpMatrixSetUnit<Real>();
}
template<typename Real, typename OtherReal> void CudaSpMatrixUnitTest() {
UnitTestCuSpMatrixTraceSpSp<Real, OtherReal>();
}
} // namespace kaldi
int main() {
using namespace kaldi;
SetVerboseLevel(1);
int32 loop = 0;
#if HAVE_CUDA == 1
for (; loop < 2; loop++) {
CuDevice::Instantiate().SetDebugStrideMode(true);
if (loop == 0)
CuDevice::Instantiate().SelectGpuId("no"); // -1 means no GPU
else
CuDevice::Instantiate().SelectGpuId("yes"); // -2 .. automatic selection
#endif
kaldi::CudaSpMatrixUnitTest<float>();
kaldi::CudaSpMatrixUnitTest<float, float>();
#if HAVE_CUDA == 1
if (CuDevice::Instantiate().DoublePrecisionSupported()) {
kaldi::CudaSpMatrixUnitTest<double>();
kaldi::CudaSpMatrixUnitTest<float, double>();
kaldi::CudaSpMatrixUnitTest<double, float>();
kaldi::CudaSpMatrixUnitTest<double, double>();
} else {
KALDI_WARN << "Double precision not supported";
}
#else
kaldi::CudaSpMatrixUnitTest<float, double>();
kaldi::CudaSpMatrixUnitTest<double, float>();
kaldi::CudaSpMatrixUnitTest<double, double>();
#endif
if (loop == 0)
KALDI_LOG << "Tests without GPU use succeeded.";
else
KALDI_LOG << "Tests with GPU use (if available) succeeded.";
#if HAVE_CUDA == 1
}
CuDevice::Instantiate().PrintProfile();
#endif
return 0;
}
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