Ambiguous fma/fnma calls #1071
Description
Seems to only happen on exp and log, error:
/home/mart/git/kotlin/kt-ndarray-simd/xsimd/include/xsimd/types/xsimd_api.hpp:958:16: error: call to 'fnma' is ambiguous
return kernel::fnma<A>(x, y, z, A {});
^~~~~~~~~~~~~~~
/home/mart/git/kotlin/kt-ndarray-simd/xsimd/include/xsimd/arch/./generic/xsimd_generic_math.hpp:816:26: note: in instantiation of function template specialization 'xsimd::fnma<double, xsimd::fma4>' requested here
hi = fnma(k, constants::log_2hi<batch_type>(), a);
^
/home/mart/git/kotlin/kt-ndarray-simd/xsimd/include/xsimd/arch/./generic/xsimd_generic_math.hpp:903:43: note: in instantiation of member function 'xsimd::kernel::detail::exp_reduction<double, xsimd::fma4, xsimd::kernel::detail::exp_tag>::reduce' requested here
batch_type k = reducer_t::reduce(self, hi, lo, x);
^
/home/mart/git/kotlin/kt-ndarray-simd/xsimd/include/xsimd/arch/./generic/xsimd_generic_math.hpp:915:28: note: in instantiation of function template specialization 'xsimd::kernel::detail::exp<xsimd::kernel::detail::exp_tag, xsimd::fma4>' requested here
return detail::exp<detail::exp_tag>(self);
^
/home/mart/git/kotlin/kt-ndarray-simd/xsimd/include/xsimd/types/xsimd_api.hpp:720:24: note: in instantiation of function template specialization 'xsimd::kernel::exp<xsimd::fma4, double>' requested here
return kernel::exp<A>(x, A {});
^
/home/mart/git/kotlin/kt-ndarray-simd/src/lib/arch/../cpp/math_priv.h:96:27: note: in instantiation of function template specialization 'xsimd::exp<double, xsimd::fma4>' requested here
auto res = xsimd::exp(va);
^
/home/mart/git/kotlin/kt-ndarray-simd/xsimd/include/xsimd/arch/./xsimd_fma4.hpp:32:39: note: candidate function [with A = xsimd::fma4]
XSIMD_INLINE batch<double, A> fnma(simd_register<double, A> const& x, simd_register<double, A> const& y, simd_register<double, A> const& z, requires_arch<fma4>) noexcept
^
/home/mart/git/kotlin/kt-ndarray-simd/xsimd/include/xsimd/arch/./generic/xsimd_generic_arithmetic.hpp:102:34: note: candidate function [with A = xsimd::fma4, T = double]
XSIMD_INLINE batch<T, A> fnma(batch<T, A> const& x, batch<T, A> const& y, batch<T, A> const& z, requires_arch<generic>) noexcept
^
Code:
struct _vec_exp { template <class Arch> void operator()(Arch, double* a, int n); };
static auto _vec_exp_dispatcher = xsimd::dispatch<arch_list>(_vec_exp{});
// extern for each arch here
template <class Arch> void _vec_exp::operator()(Arch, double* a, int n) {
using batch = xsimd::batch<double, Arch>;
std::size_t size = n - n % batch::size;
for (std::size_t i = 0; i < size; i += batch::size) {
auto va = batch::load_unaligned(&a[i]);
auto res = xsimd::exp(va);
xsimd::store_unaligned(&a[i], res);
}
for (std::size_t i = size; i < n; ++i) {
a[i] = std::exp(a[i]);
}
}
xsimd version 13.0.0