DPNP C++ backend kernel library 0.20.0dev0
Data Parallel Extension for NumPy*
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interpolate.hpp
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28
29#pragma once
30
31#include <sycl/sycl.hpp>
32#include <vector>
33
34#include "ext/common.hpp"
35
37
38namespace dpnp::kernels::interpolate
39{
40template <typename TCoord, typename TValue, typename TIdx = std::int64_t>
41sycl::event interpolate_impl(sycl::queue &q,
42 const TCoord *x,
43 const TIdx *idx,
44 const TCoord *xp,
45 const TValue *fp,
46 const TValue *left,
47 const TValue *right,
48 TValue *out,
49 const std::size_t n,
50 const std::size_t xp_size,
51 const std::vector<sycl::event> &depends)
52{
53 // Selected over the work-group version
54 // due to simpler execution and slightly better performance.
55 return q.submit([&](sycl::handler &h) {
56 h.depends_on(depends);
57 h.parallel_for(sycl::range<1>(n), [=](sycl::id<1> i) {
58 TValue left_val = left ? *left : fp[0];
59 TValue right_val = right ? *right : fp[xp_size - 1];
60
61 TCoord x_val = x[i];
62 TIdx x_idx = idx[i] - 1;
63
64 if (IsNan<TCoord>::isnan(x_val)) {
65 out[i] = x_val;
66 }
67 else if (x_idx < 0) {
68 out[i] = left_val;
69 }
70 else if (x_val == xp[xp_size - 1]) {
71 out[i] = fp[xp_size - 1];
72 }
73 else if (x_idx >= static_cast<TIdx>(xp_size - 1)) {
74 out[i] = right_val;
75 }
76 else {
77 TValue slope =
78 (fp[x_idx + 1] - fp[x_idx]) / (xp[x_idx + 1] - xp[x_idx]);
79 TValue res = slope * (x_val - xp[x_idx]) + fp[x_idx];
80
81 if (IsNan<TValue>::isnan(res)) {
82 res = slope * (x_val - xp[x_idx + 1]) + fp[x_idx + 1];
83 if (IsNan<TValue>::isnan(res) &&
84 (fp[x_idx] == fp[x_idx + 1])) {
85 res = fp[x_idx];
86 }
87 }
88 out[i] = res;
89 }
90 });
91 });
92}
93
94} // namespace dpnp::kernels::interpolate