由于BOOST_FUSION_ADAPT_TPL_STRUCT,我试图迭代C ++模板结构。我的结构包含固定大小的多维数组,其大小是模板参数。如果我们考虑修改Boost的示例以适应我的问题:
#include <iostream>
#include <string>
#include <boost/fusion/adapted/struct/adapt_struct.hpp>
#include <boost/fusion/include/adapt_struct.hpp>
// Example:
// http://www.boost.org/doc/libs/1_53_0/libs/fusion/doc/html/fusion/adapted/adapt_tpl_struct.html
namespace demo
{
template<typename T, unsigned int SIZE1, unsigned int SIZE2, typename Name, typename Age>
struct employee
{
Name name;
Age age;
T ar[SIZE1][SIZE2];
};
}
// Any instantiated demo::employee is now a Fusion sequence
BOOST_FUSION_ADAPT_TPL_STRUCT(
(T)(SIZE1)(SIZE2)(Name)(Age),
(demo::employee) (T)(SIZE1)(SIZE2)(Name)(Age),
(Name, name)
(Age, age)
(T, ar[SIZE1][SIZE2]))
int main()
{
demo::employee<float, 2, 2, std::string, int> e;
e.name = "Bob";
e.age = 25;
e.ar[0][0] = e.ar[1][0] = 0.1;
e.ar[0][1] = e.ar[1][1] = 0.2;
}
编译失败。此外,如果我们只添加整数模板参数而不使用它来表示数组大小,它也会失败。
BOOST_FUSION_ADAPT_TPL_STRUCT
是否可以实现?如果没有,我该怎么办呢?
答案 0 :(得分:3)
来自doc:
序列(template_param0)(template_param1)...声明使用的模板类型参数的名称。
虽然您有非类型模板参数 SIZE
:
template<typename T, unsigned int SIZE, typename Name, typename Age>
struct employee
您可以将其转换为类型模板参数,并使用boost::mpl::int_
作为进位大小的包装。
现在,您的代码为compiled。
template<int Size>
struct Array
{
template<typename T>
struct Of
{
typedef T type[Size];
};
};
namespace demo
{
template<typename T, typename SIZE, typename Name, typename Age>
struct employee
{
Name name;
Age age;
T ar[SIZE::value];
};
}
// Any instantiated demo::employee is now a Fusion sequence
BOOST_FUSION_ADAPT_TPL_STRUCT(
(T)(SIZE)(Name)(Age),
(demo::employee) (T)(SIZE)(Name)(Age),
(Name, name)
(Age, age)
(typename Array<SIZE::value>::template Of<T>::type, ar))
//...
demo::employee<float, int_<2>, std::string, int> e;
答案 1 :(得分:1)
经过与Evgeny Panasyuk的长谈,我最终做了一些不同的事情。由于我希望能够对数据结构进行一些简单的算术运算,因此我决定使用Eigen::Map
而不是Boost::multi_array
,因为它提供了广泛的运算符以及清晰的文档。
因此,较高级别的循环由boost::fusion::for_each
处理,而较低级别的循环由Eigen处理。阵列线性映射到特征向量。大小在data_eigen
的构造函数中传递。
#include <iostream>
#include <boost/fusion/adapted/struct/adapt_struct.hpp>
#include <boost/fusion/include/adapt_struct.hpp>
#include <boost/fusion/algorithm/iteration/for_each.hpp>
#include <boost/fusion/include/for_each.hpp>
#include <boost/bind.hpp>
#include <Eigen/Core>
namespace demo
{
template<typename T, int SIZE1, int SIZE2>
struct data
{
T ar1[SIZE1][SIZE2];
T ar2[SIZE1][SIZE2];
};
template<typename T>
struct EigenMap
{
typedef Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, 1> > type;
};
template<typename T>
struct data_eigen
{
template <int SIZE1, int SIZE2>
data_eigen(data<T,SIZE1,SIZE2>& src)
: ar1(typename EigenMap<T>::type(&src.ar1[0][0], SIZE1*SIZE2)),
ar2(typename EigenMap<T>::type(&src.ar2[0][0], SIZE1*SIZE2))
{
}
typename EigenMap<T>::type ar1;
typename EigenMap<T>::type ar2;
};
struct print
{
template<typename T>
void operator()(const Eigen::Map<Eigen::Matrix<T, Eigen::Dynamic, 1> >& t) const
{
std::cout << t.transpose() << std::endl;
}
};
struct scalarMult
{
template<typename T, typename U>
void operator()(T& t, U& u) const
{
t *= u;
}
};
}
BOOST_FUSION_ADAPT_TPL_STRUCT
(
(T),
(demo::data_eigen) (T),
(typename demo::EigenMap<T>::type, ar1)
(typename demo::EigenMap<T>::type, ar2)
)
int main()
{
typedef float REALTYPE;
const int SIZE1 = 2;
const int SIZE2 = 2;
// Basic data structure with multidimensional arrays
demo::data<REALTYPE, SIZE1, SIZE2> d;
for (unsigned int i = 0; i < SIZE1; ++i)
for (unsigned int j = 0; j < SIZE2; ++j)
{
d.ar1[i][j] = (i+1)*(j+1);
d.ar2[i][j] = i + j;
}
// Eigen::Map + BOOST_FUSION_ADAPT_TPL_STRUCT
demo::data_eigen<REALTYPE> eig_d(d);
std::cout << "d:" << std::endl;
boost::fusion::for_each(eig_d, demo::print());
std::cout << std::endl;
boost::fusion::for_each(eig_d, boost::bind<void>(demo::scalarMult(), _1, 2.0));
std::cout << "2 * d:" << std::endl;
boost::fusion::for_each(eig_d, demo::print());
std::cout << std::endl;
}