DPNP C++ backend kernel library 0.20.0dev0
Data Parallel Extension for NumPy*
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fft_utils.hpp
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27//*****************************************************************************
28
29#pragma once
30
31#include <oneapi/mkl.hpp>
32
33namespace dpnp::extensions::fft
34{
35namespace mkl_dft = oneapi::mkl::dft;
36
37// Structure to map MKL precision to float/double types
38template <mkl_dft::precision prec>
40
41template <>
42struct PrecisionType<mkl_dft::precision::SINGLE>
43{
44 using type = float;
45};
46
47template <>
48struct PrecisionType<mkl_dft::precision::DOUBLE>
49{
50 using type = double;
51};
52
53// Structure to map combination of precision, domain, and is_forward flag to
54// in/out types
55template <mkl_dft::precision prec, mkl_dft::domain dom, bool is_forward>
57{
58 using type_in = void;
59 using type_out = void;
60};
61
62// for r2c FFT, type_in is real and type_out is complex
63// is_forward is true
64template <mkl_dft::precision prec>
65struct ScaleType<prec, mkl_dft::domain::REAL, true>
66{
67 using prec_type = typename PrecisionType<prec>::type;
68 using type_in = prec_type;
69 using type_out = std::complex<prec_type>;
70};
71
72// for c2r FFT, type_in is complex and type_out is real
73// is_forward is false
74template <mkl_dft::precision prec>
75struct ScaleType<prec, mkl_dft::domain::REAL, false>
76{
77 using prec_type = typename PrecisionType<prec>::type;
78 using type_in = std::complex<prec_type>;
79 using type_out = prec_type;
80};
81
82// for c2c FFT, both type_in and type_out are complex
83// regardless of is_fwd
84template <mkl_dft::precision prec, bool is_fwd>
85struct ScaleType<prec, mkl_dft::domain::COMPLEX, is_fwd>
86{
87 using prec_type = typename PrecisionType<prec>::type;
88 using type_in = std::complex<prec_type>;
89 using type_out = std::complex<prec_type>;
90};
91} // namespace dpnp::extensions::fft