DPNP C++ backend kernel library 0.20.0dev4
Data Parallel Extension for NumPy*
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interpolate.hpp
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28
29#pragma once
30
31#include <cstddef>
32#include <cstdint>
33
34#include <sycl/sycl.hpp>
35
36#include "ext/common.hpp"
37
38namespace dpnp::kernels::interpolate
39{
41
42template <typename TCoord, typename TValue, typename TIdx = std::int64_t>
44{
45private:
46 const TCoord *x = nullptr;
47 const TIdx *idx = nullptr;
48 const TCoord *xp = nullptr;
49 const TValue *fp = nullptr;
50 const TValue *left = nullptr;
51 const TValue *right = nullptr;
52 TValue *out = nullptr;
53 const std::size_t xp_size;
54
55public:
56 InterpolateFunctor(const TCoord *x_,
57 const TIdx *idx_,
58 const TCoord *xp_,
59 const TValue *fp_,
60 const TValue *left_,
61 const TValue *right_,
62 TValue *out_,
63 const std::size_t xp_size_)
64 : x(x_), idx(idx_), xp(xp_), fp(fp_), left(left_), right(right_),
65 out(out_), xp_size(xp_size_)
66 {
67 }
68
69 // Selected over the work-group version
70 // due to simpler execution and slightly better performance.
71 void operator()(sycl::id<1> id) const
72 {
73 TValue left_val = left ? *left : fp[0];
74 TValue right_val = right ? *right : fp[xp_size - 1];
75
76 TCoord x_val = x[id];
77 TIdx x_idx = idx[id] - 1;
78
79 if (IsNan<TCoord>::isnan(x_val)) {
80 out[id] = x_val;
81 }
82 else if (x_idx < 0) {
83 out[id] = left_val;
84 }
85 else if (x_val == xp[xp_size - 1]) {
86 out[id] = fp[xp_size - 1];
87 }
88 else if (x_idx >= static_cast<TIdx>(xp_size - 1)) {
89 out[id] = right_val;
90 }
91 else {
92 TValue slope =
93 (fp[x_idx + 1] - fp[x_idx]) / (xp[x_idx + 1] - xp[x_idx]);
94 TValue res = slope * (x_val - xp[x_idx]) + fp[x_idx];
95
96 if (IsNan<TValue>::isnan(res)) {
97 res = slope * (x_val - xp[x_idx + 1]) + fp[x_idx + 1];
98 if (IsNan<TValue>::isnan(res) && (fp[x_idx] == fp[x_idx + 1])) {
99 res = fp[x_idx];
100 }
101 }
102 out[id] = res;
103 }
104 }
105};
106} // namespace dpnp::kernels::interpolate