inline void load(std::ifstream& ifs, MatD& params){
Real val = 0.0;
for (int i = 0; i < params.cols(); ++i){
for (int j = 0; j < params.rows(); ++j){
ifs.read((char*)&val, sizeof(Real));
params.coeffRef(j, i) = val;
}
}
}
inline void save(std::ofstream& ofs, const MatD& params){
Real val = 0.0;
for (int i = 0; i < params.cols(); ++i){
for (int j = 0; j < params.rows(); ++j){
val = params.coeff(j, i);
ofs.write((char*)&val, sizeof(Real));
}
}
}
inline Real cosDis(const MatD& a, const MatD& b){
return (a.array()*b.array()).sum()/(a.norm()*b.norm());
//return a.col(0).dot(b.col(0))/(a.norm()*b.norm());
}
static const size_t N = 9;
typedef cppmat::tiny::array<double,2,M,N> Arr;
// =================================================================================================
TEST_CASE("cppmat::tiny::array", "matrix.h")
{
// =================================================================================================
// arithmetic
// =================================================================================================
SECTION( "array += array" )
{
MatD a = MatD::Random(M,N);
MatD b = MatD::Random(M,N);
Arr A = Arr::Copy(a.data(), a.data()+a.size());
Arr B = Arr::Copy(b.data(), b.data()+b.size());
for ( size_t i = 0 ; i < M ; ++i )
for ( size_t j = 0 ; j < N ; ++j )
a(i,j) += b(i,j);
A += B;
Equal(A, a);
}
// -------------------------------------------------------------------------------------------------
typedef cppmat::tiny::diagonal ::matrix<double,M,N> dMat;
typedef cppmat::tiny::symmetric::matrix<double,M,N> sMat;
typedef cppmat::tiny ::matrix<double,M,N> Mat;
// =================================================================================================
TEST_CASE("cppmat::tiny::diagonal::matrix", "matrix.h")
{
// =================================================================================================
// arithmetic
// =================================================================================================
SECTION( "matrix += matrix" )
{
MatD a = makeDiagonal(MatD::Random(M,N));
MatD b = makeDiagonal(MatD::Random(M,N));
dMat A = dMat::CopyDense(a.data(), a.data()+a.size());
dMat B = dMat::CopyDense(b.data(), b.data()+b.size());
for ( size_t i = 0 ; i < M ; ++i )
for ( size_t j = 0 ; j < N ; ++j )
a(i,j) += b(i,j);
A += B;
Equal(A, a);
}
// -------------------------------------------------------------------------------------------------
//f'(x) = f(x)(1-f(x))
inline MatD ActFunc::logisticPrime(const MatD& x){
return x.array()*(1.0-x.array());
}
static const size_t N = 11;
typedef cppmat::symmetric::matrix<double> sMat;
// =================================================================================================
TEST_CASE("cppmat::symmetric::matrix", "matrix.h")
{
// =================================================================================================
// arithmetic
// =================================================================================================
SECTION( "matrix += matrix" )
{
MatD a = makeSymmetric(MatD::Random(M,N));
MatD b = makeSymmetric(MatD::Random(M,N));
sMat A = sMat::CopyDense(M, N, a.data(), a.data()+a.size());
sMat B = sMat::CopyDense(M, N, b.data(), b.data()+b.size());
for ( size_t i = 0 ; i < M ; ++i )
for ( size_t j = 0 ; j < N ; ++j )
a(i,j) += b(i,j);
A += B;
Equal(A, a);
}
// -------------------------------------------------------------------------------------------------
inline void ActFunc::logistic(MatD& x){
x = x.unaryExpr(std::ptr_fun((Real (*)(const Real))ActFunc::logistic));
}
//f'(x) = 1-(f(x))^2
inline MatD ActFunc::tanhPrime(const MatD& x){
return 1.0-x.array().square();
}
inline void ActFunc::tanh(MatD& x){
x = x.unaryExpr(std::ptr_fun(::tanh));
}
inline void ActFunc::tanh(MatD& x){
x = x.array().tanh();
}
inline void ActFunc::logistic(MatD& x){
x = x.unaryExpr(std::ptr_fun((double (*)(const double))ActFunc::logistic));
}
