DPNP C++ backend kernel library 0.18.0dev0
Data Parallel Extension for NumPy*
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fft_utils.hpp
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24//*****************************************************************************
25
26#pragma once
27
28#include <oneapi/mkl.hpp>
29
30namespace dpnp::extensions::fft
31{
32namespace mkl_dft = oneapi::mkl::dft;
33
34// Structure to map MKL precision to float/double types
35template <mkl_dft::precision prec>
37
38template <>
39struct PrecisionType<mkl_dft::precision::SINGLE>
40{
41 using type = float;
42};
43
44template <>
45struct PrecisionType<mkl_dft::precision::DOUBLE>
46{
47 using type = double;
48};
49
50// Structure to map combination of precision, domain, and is_forward flag to
51// in/out types
52template <mkl_dft::precision prec, mkl_dft::domain dom, bool is_forward>
54{
55 using type_in = void;
56 using type_out = void;
57};
58
59// for r2c FFT, type_in is real and type_out is complex
60// is_forward is true
61template <mkl_dft::precision prec>
62struct ScaleType<prec, mkl_dft::domain::REAL, true>
63{
64 using prec_type = typename PrecisionType<prec>::type;
65 using type_in = prec_type;
66 using type_out = std::complex<prec_type>;
67};
68
69// for c2r FFT, type_in is complex and type_out is real
70// is_forward is false
71template <mkl_dft::precision prec>
72struct ScaleType<prec, mkl_dft::domain::REAL, false>
73{
74 using prec_type = typename PrecisionType<prec>::type;
75 using type_in = std::complex<prec_type>;
76 using type_out = prec_type;
77};
78
79// for c2c FFT, both type_in and type_out are complex
80// regardless of is_fwd
81template <mkl_dft::precision prec, bool is_fwd>
82struct ScaleType<prec, mkl_dft::domain::COMPLEX, is_fwd>
83{
84 using prec_type = typename PrecisionType<prec>::type;
85 using type_in = std::complex<prec_type>;
86 using type_out = std::complex<prec_type>;
87};
88} // namespace dpnp::extensions::fft