Sycl complex library header-only.
A sycl port of https://github.com/llvm/llvm-project/tree/main/libcxx/include/complex.
See include/sycl_ext_complex.hpp
#include <sycl/sycl.hpp>
#include "sycl_ext_complex.hpp"
#include <complex>
#include <cassert>
bool almost_equal(std::complex<double> x, std::complex<double> y, int ulp) {
return std::abs(x-y) <= std::numeric_limits<double>::epsilon() * std::abs(x+y) * ulp || std::abs(x-y) < std::numeric_limits<double>::min();
}
int main() {
sycl::queue Q(sycl::gpu_selector{});
std::cout << "Running on "
<< Q.get_device().get_info<sycl::info::device::name>()
<< "\n";
std::complex<double> i00{0.2,0.5};
std::complex<double> i01{0.2,0.3};
std::complex<double> cpu_result = std::pow(i00,i01);
auto* gpu_result = sycl::malloc_shared<sycl::ext::cplx::complex<double>>(1,Q);
Q.single_task([=]() {
//Using implicit cast from std::complex -> sycl::ext::cplx::complex
gpu_result[0] = sycl::ext::cplx::pow<double>(i00, i01);
}).wait();
std::cout << "cpu_result " << cpu_result << std::endl;
std::cout << "gpu_result" << gpu_result[0] << std::endl;
//Using implicit cast from sycl::ext::cplx::complex -> std::complex
assert(almost_equal(cpu_result, gpu_result[0], 1));
return 0;
}Crude tests for all C++ complex math functions are provided in /tests/. Just defined a correct CXX and then make , make run