Automatic Differentiation
 
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gp_exponential_cov.hpp
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1#ifndef STAN_MATH_OPENCL_KERNELS_GP_EXPONENTIAL_COV_HPP
2#define STAN_MATH_OPENCL_KERNELS_GP_EXPONENTIAL_COV_HPP
3#ifdef STAN_OPENCL
4
6#include <string>
7
8namespace stan {
9namespace math {
10namespace opencl_kernels {
11// \cond
12static constexpr const char* gp_exponential_cov_kernel_code = STRINGIFY(
13 // \endcond
24 __kernel void gp_exponential_cov(
25 const __global double* x, __global double* res, const double sigma_sq,
26 const double neg_inv_l, const int size, const int element_size) {
27 const int i = get_global_id(0);
28 const int j = get_global_id(1);
29 if (i < size && j < size) {
30 if (i > j) {
31 double sum = 0;
32 for (int k = 0; k < element_size; k++) {
33 double d = x[i * element_size + k] - x[j * element_size + k];
34 sum += d * d;
35 }
36 double a = sigma_sq * exp(neg_inv_l * sqrt(sum));
37 res[j * size + i] = a;
38 res[i * size + j] = a;
39 } else if (i == j) {
40 res[j * size + i] = sigma_sq;
41 }
42 }
43 }
44 // \cond
45);
46// \endcond
47
52const kernel_cl<in_buffer, out_buffer, double, double, int, int>
53 gp_exponential_cov("gp_exponential_cov", {gp_exponential_cov_kernel_code});
54
55// \cond
56static constexpr const char* gp_exponential_cov_cross_kernel_code = STRINGIFY(
57 // \endcond
75 const __global double* x1, const __global double* x2,
76 __global double* res, const double sigma_sq, const double neg_inv_l,
77 const int size1, const int size2, const int element_size) {
78 const int i = get_global_id(0);
79 const int j = get_global_id(1);
80 if (i < size1 && j < size2) {
81 double sum = 0;
82 for (int k = 0; k < element_size; k++) {
83 double d = x1[i * element_size + k] - x2[j * element_size + k];
84 sum += d * d;
85 }
86 res[j * size1 + i] = sigma_sq * exp(neg_inv_l * sqrt(sum));
87 }
88 }
89 // \cond
90);
91// \endcond
92
97const kernel_cl<in_buffer, in_buffer, out_buffer, double, double, int, int, int>
98 gp_exponential_cov_cross("gp_exponential_cov_cross",
99 {gp_exponential_cov_cross_kernel_code});
100
101} // namespace opencl_kernels
102} // namespace math
103} // namespace stan
104#endif
105#endif
const kernel_cl< in_buffer, in_buffer, out_buffer, double, double, int, int, int > gp_exponential_cov_cross("gp_exponential_cov_cross", {gp_exponential_cov_cross_kernel_code})
See the docs for gp_exponential_cov_cross() .
const kernel_cl< in_buffer, out_buffer, double, double, int, int > gp_exponential_cov("gp_exponential_cov", {gp_exponential_cov_kernel_code})
See the docs for gp_exponential_cov() .
int64_t size(const T &m)
Returns the size (number of the elements) of a matrix_cl or var_value<matrix_cl<T>>.
Definition size.hpp:19
fvar< T > sqrt(const fvar< T > &x)
Definition sqrt.hpp:17
auto sum(const std::vector< T > &m)
Return the sum of the entries of the specified standard vector.
Definition sum.hpp:23
fvar< T > exp(const fvar< T > &x)
Definition exp.hpp:13
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
#define STRINGIFY(...)
Definition stringify.hpp:9