1#ifndef STAN_MATH_OPENCL_KERNELS_GP_EXPONENTIAL_COV_HPP 
    2#define STAN_MATH_OPENCL_KERNELS_GP_EXPONENTIAL_COV_HPP 
   10namespace opencl_kernels {
 
   12static constexpr const char* gp_exponential_cov_kernel_code = 
STRINGIFY(
 
   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);
 
   32          for (
int k = 0; k < element_size; k++) {
 
   33            double d = x[i * element_size + k] - x[j * element_size + k];
 
   36          double a = sigma_sq * 
exp(neg_inv_l * 
sqrt(
sum));
 
   37          res[j * 
size + i] = a;
 
   38          res[i * 
size + j] = a;
 
   40          res[j * 
size + i] = sigma_sq;
 
   52const kernel_cl<in_buffer, out_buffer, double, double, int, int>
 
   56static constexpr const char* gp_exponential_cov_cross_kernel_code = 
STRINGIFY(
 
   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) {
 
   82        for (
int k = 0; k < element_size; k++) {
 
   83          double d = x1[i * element_size + k] - x2[j * element_size + k];
 
   86        res[j * size1 + i] = sigma_sq * 
exp(neg_inv_l * 
sqrt(
sum));
 
   97const kernel_cl<in_buffer, in_buffer, out_buffer, double, double, int, int, int>
 
   99                             {gp_exponential_cov_cross_kernel_code});
 
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>>.
 
fvar< T > sqrt(const fvar< T > &x)
 
auto sum(const std::vector< T > &m)
Return the sum of the entries of the specified standard vector.
 
fvar< T > exp(const fvar< T > &x)
 
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...