Files
pytorch/c10/util/complex_utils.h
mfkasim1 75cfc0be21 Logcumsumexp for CPU (#93153)
Partial work from #90847, in the direction of solving #89205.
Most of the content is from #90847, but this is only for CPU, so hopefully it does not increase the build time by a lot.

tag: @albanD, @malfet

Pull Request resolved: https://github.com/pytorch/pytorch/pull/93153
Approved by: https://github.com/malfet, https://github.com/Skylion007
2023-01-27 22:29:33 +00:00

47 lines
1.1 KiB
C++

#if !defined(C10_INTERNAL_INCLUDE_COMPLEX_REMAINING_H)
#error \
"c10/util/complex_utils.h is not meant to be individually included. Include c10/util/complex.h instead."
#endif
#include <limits>
namespace c10 {
template <typename T>
struct is_complex : public std::false_type {};
template <typename T>
struct is_complex<std::complex<T>> : public std::true_type {};
template <typename T>
struct is_complex<c10::complex<T>> : public std::true_type {};
// Extract double from std::complex<double>; is identity otherwise
// TODO: Write in more idiomatic C++17
template <typename T>
struct scalar_value_type {
using type = T;
};
template <typename T>
struct scalar_value_type<std::complex<T>> {
using type = T;
};
template <typename T>
struct scalar_value_type<c10::complex<T>> {
using type = T;
};
} // namespace c10
namespace std {
template <typename T>
class numeric_limits<c10::complex<T>> : public numeric_limits<T> {};
template <typename T>
bool isnan(const c10::complex<T>& v) {
return std::isnan(v.real()) || std::isnan(v.imag());
}
} // namespace std