DPNP C++ backend kernel library 0.21.0dev14
Data Parallel Extension for NumPy*
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types_matrix.hpp
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28
29#pragma once
30
31#include <complex>
32#include <cstdint>
33#include <type_traits>
34
35// dpnp tensor headers
36#include "utils/type_dispatch.hpp"
37
38// namespace for operations with types
39namespace dpnp_td_ns = dpnp::tensor::type_dispatch;
40
41namespace dpnp::extensions::sparse::types
42{
43
66template <typename Tv, typename Ti>
68{
69 static constexpr bool is_defined = std::disjunction<
70 // real single precision
71 dpnp_td_ns::TypePairDefinedEntry<Tv, float, Ti, std::int32_t>,
72 dpnp_td_ns::TypePairDefinedEntry<Tv, float, Ti, std::int64_t>,
73 // real double precision
74 dpnp_td_ns::TypePairDefinedEntry<Tv, double, Ti, std::int32_t>,
75 dpnp_td_ns::TypePairDefinedEntry<Tv, double, Ti, std::int64_t>,
76 // complex single precision
77 dpnp_td_ns::
78 TypePairDefinedEntry<Tv, std::complex<float>, Ti, std::int32_t>,
79 dpnp_td_ns::
80 TypePairDefinedEntry<Tv, std::complex<float>, Ti, std::int64_t>,
81 // complex double precision
82 dpnp_td_ns::
83 TypePairDefinedEntry<Tv, std::complex<double>, Ti, std::int32_t>,
84 dpnp_td_ns::
85 TypePairDefinedEntry<Tv, std::complex<double>, Ti, std::int64_t>,
86 // fall-through
87 dpnp_td_ns::NotDefinedEntry>::is_defined;
88};
89
100template <typename Tv>
102{
103 static constexpr bool is_defined =
104 std::is_same_v<Tv, float> || std::is_same_v<Tv, double> ||
105 std::is_same_v<Tv, std::complex<float>> ||
106 std::is_same_v<Tv, std::complex<double>>;
107};
108
109} // namespace dpnp::extensions::sparse::types
Factory encoding supported value types for sparse::gemv compute.
Factory encoding the supported (value type, index type) combinations for sparse matrix-vector multipl...