DPNP C++ backend kernel library 0.18.0dev0
Data Parallel Extension for NumPy*
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fmin.hpp
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24//*****************************************************************************
25
26#pragma once
27
28#include <sycl/sycl.hpp>
29
30// dpctl tensor headers
31#include "utils/math_utils.hpp"
32#include "utils/type_utils.hpp"
33
34namespace dpnp::kernels::fmin
35{
36namespace mu_ns = dpctl::tensor::math_utils;
37namespace tu_ns = dpctl::tensor::type_utils;
38
39template <typename argT1, typename argT2, typename resT>
41{
42 using supports_sg_loadstore = std::negation<
43 std::disjunction<tu_ns::is_complex<argT1>, tu_ns::is_complex<argT2>>>;
44 using supports_vec =
45 std::conjunction<std::is_same<argT1, argT2>,
46 std::disjunction<std::is_floating_point<argT1>,
47 std::is_same<argT1, sycl::half>>>;
48
49 resT operator()(const argT1 &in1, const argT2 &in2) const
50 {
51 if constexpr (std::is_integral_v<argT1> && std::is_integral_v<argT2>) {
52 return in1 <= in2 ? in1 : in2;
53 }
54 else if constexpr (tu_ns::is_complex<argT1>::value &&
55 tu_ns::is_complex<argT2>::value)
56 {
57 static_assert(std::is_same_v<argT1, argT2>);
58
59 using realT = typename argT1::value_type;
60 const realT in2r = std::real(in2);
61 const realT in2i = std::imag(in2);
62
63 if (sycl::isnan(in2r) || sycl::isnan(in2i) ||
64 mu_ns::less_equal_complex<argT1>(in1, in2))
65 {
66 return in1;
67 }
68 return in2;
69 }
70 else {
71 return sycl::fmin(in1, in2);
72 }
73 }
74
75 template <int vec_sz>
76 sycl::vec<resT, vec_sz>
77 operator()(const sycl::vec<argT1, vec_sz> &in1,
78 const sycl::vec<argT2, vec_sz> &in2) const
79 {
80 return sycl::fmin(in1, in2);
81 }
82};
83} // namespace dpnp::kernels::fmin