DPNP C++ backend kernel library 0.20.0dev0
Data Parallel Extension for NumPy*
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fmin.hpp
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27//*****************************************************************************
28
29#pragma once
30
31#include <sycl/sycl.hpp>
32
33// dpctl tensor headers
34#include "utils/math_utils.hpp"
35#include "utils/type_utils.hpp"
36
37namespace dpnp::kernels::fmin
38{
39namespace mu_ns = dpctl::tensor::math_utils;
40namespace tu_ns = dpctl::tensor::type_utils;
41
42template <typename argT1, typename argT2, typename resT>
44{
45 using supports_sg_loadstore = std::negation<
46 std::disjunction<tu_ns::is_complex<argT1>, tu_ns::is_complex<argT2>>>;
47 using supports_vec =
48 std::conjunction<std::is_same<argT1, argT2>,
49 std::disjunction<std::is_floating_point<argT1>,
50 std::is_same<argT1, sycl::half>>>;
51
52 resT operator()(const argT1 &in1, const argT2 &in2) const
53 {
54 if constexpr (std::is_integral_v<argT1> && std::is_integral_v<argT2>) {
55 return in1 <= in2 ? in1 : in2;
56 }
57 else if constexpr (tu_ns::is_complex<argT1>::value &&
58 tu_ns::is_complex<argT2>::value)
59 {
60 static_assert(std::is_same_v<argT1, argT2>);
61
62 using realT = typename argT1::value_type;
63 const realT in2r = std::real(in2);
64 const realT in2i = std::imag(in2);
65
66 if (sycl::isnan(in2r) || sycl::isnan(in2i) ||
67 mu_ns::less_equal_complex<argT1>(in1, in2))
68 {
69 return in1;
70 }
71 return in2;
72 }
73 else {
74 return sycl::fmin(in1, in2);
75 }
76 }
77
78 template <int vec_sz>
79 sycl::vec<resT, vec_sz>
80 operator()(const sycl::vec<argT1, vec_sz> &in1,
81 const sycl::vec<argT2, vec_sz> &in2) const
82 {
83 return sycl::fmin(in1, in2);
84 }
85};
86} // namespace dpnp::kernels::fmin