我有一个整数 N ,我在编译时知道。我还有一个 std :: array ,它包含描述 N - 维数组形状的整数。我想在编译时使用元编程技术生成嵌套循环,如下所述。
constexpr int N {4};
constexpr std::array<int, N> shape {{1,3,5,2}};
auto f = [/* accept object which uses coords */] (auto... coords) {
// do sth with coords
};
// This is what I want to generate.
for(int i = 0; i < shape[0]; i++) {
for(int j = 0; j < shape[1]; j++) {
for(int k = 0; k < shape[2]; k++) {
for(int l = 0; l < shape[3]; l++) {
f(i,j,k,l) // object is modified via the lambda function.
}
}
}
}
注意参数 N 在编译时是已知的,但可能在编译之间无法预测地改变,因此我不能像上面那样对循环进行硬编码。理想情况下,循环生成机制将提供一个接受lambda函数的接口,生成循环并调用函数产生如上所述的等效代码。我知道可以在运行时使用单个while循环和索引数组编写一个等效循环,并且已经有了这个问题的答案。但是,我对此解决方案不感兴趣。我对涉及预处理器魔法的解决方案也不感兴趣。
答案 0 :(得分:24)
像这样的东西(注意:我采用&#34;形状&#34;作为可变参数模板参数集......)
#include <iostream>
template <int I, int ...N>
struct Looper{
template <typename F, typename ...X>
constexpr void operator()(F& f, X... x) {
for (int i = 0; i < I; ++i) {
Looper<N...>()(f, x..., i);
}
}
};
template <int I>
struct Looper<I>{
template <typename F, typename ...X>
constexpr void operator()(F& f, X... x) {
for (int i = 0; i < I; ++i) {
f(x..., i);
}
}
};
int main()
{
int v = 0;
auto f = [&](int i, int j, int k, int l) {
v += i + j + k + l;
};
Looper<1, 3, 5, 2>()(f);
auto g = [&](int i) {
v += i;
};
Looper<5>()(g);
std::cout << v << std::endl;
}
答案 1 :(得分:4)
假设您不想要完全展开循环,只需为i
生成j
,k
,f
等参数元组:
#include <stdio.h>
#include <utility> // std::integer_sequence
template< int dim >
constexpr auto item_size_at()
-> int
{ return ::shape[dim + 1]*item_size_at<dim + 1>(); }
template<> constexpr auto item_size_at<::N-1>() -> int { return 1; }
template< size_t... dim >
void call_f( int i, std::index_sequence<dim...> )
{
f( (i/item_size_at<dim>() % ::shape[dim])... );
}
auto main()
-> int
{
int const n_items = ::shape[0]*item_size_at<0>();
for( int i = 0; i < n_items; ++i )
{
call_f( i, std::make_index_sequence<::N>() );
}
}
答案 2 :(得分:3)
我想这正是你要求的:
#include <array>
#include <iostream>
constexpr int N{4};
constexpr std::array<int, N> shape {{1,3,5,2}};
// Diagnositcs
template<typename V, typename ...Vals>
struct TPrintf {
constexpr static void call(V v, Vals ...vals) {
std::cout << v << " ";
TPrintf<Vals...>::call(vals...);
}
};
template<typename V>
struct TPrintf<V> {
constexpr static void call(V v) {
std::cout << v << std::endl;
}
};
template<typename ...Vals>
constexpr void t_printf(Vals ...vals) {
TPrintf<Vals...>::call(vals...);
}
// Unroll
template<int CtIdx, typename F>
struct NestedLoops {
template<typename ...RtIdx>
constexpr static void call(const F& f, RtIdx ...idx) {
for(int i = 0; i < shape[CtIdx]; ++i) {
NestedLoops<CtIdx + 1, F>::call(f, idx..., i);
}
}
};
template<typename F>
struct NestedLoops<N-1, F> {
template<typename ...RtIdx>
constexpr static void call(const F& f, RtIdx ...idx) {
for(int i = 0; i < shape[N-1]; ++i) {
f(idx..., i);
}
}
};
template<typename F>
void nested_loops(const F& f) {
NestedLoops<0, F>::call(f);
}
int main()
{
auto lf = [](int i, int j, int k, int l) {
t_printf(i,j,k,l);
};
nested_loops(lf);
return 0;
}
答案 3 :(得分:2)
同一事物的另一种变体:
template <size_t shape_index, size_t shape_size>
struct Looper
{
template <typename Functor>
void operator()(const std::array<int, shape_size>& shape, Functor functor)
{
for (int index = 0; index < shape[shape_index]; ++index)
{
Looper<shape_index + 1, shape_size>()
(
shape,
[index, &functor](auto... tail){ functor(index, tail...); }
);
}
}
};
template <size_t shape_size>
struct Looper<shape_size, shape_size>
{
template <typename Functor>
void operator()(const std::array<int, shape_size>&, Functor functor)
{
functor();
}
};
template <size_t shape_size, typename Functor>
void loop(const std::array<int, shape_size>& shape, Functor functor)
{
Looper<0, shape_size>()(shape, functor);
}
使用示例:
constexpr size_t N {4};
constexpr std::array<int, N> shape {{1,3,5,2}};
void f(int i, int j, int k, int l)
{
std::cout
<< std::setw(5) << i
<< std::setw(5) << j
<< std::setw(5) << k
<< std::setw(5) << l
<< std::endl;
}
// ...
loop(shape, f);