Stan Math Library
5.0.0
Automatic Differentiation
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__kernel void stan::math::opencl_kernels::gp_matern52_cov_cross | ( | const __global double * | x1, |
const __global double * | x2, | ||
__global double * | res, | ||
const double | sigma_sq, | ||
const double | root_5_inv_l, | ||
const double | inv_l_sq_5_3, | ||
const int | size1, | ||
const int | size2, | ||
const int | element_size | ||
) |
GPU part of calculation of Matern 5/2 kernel.
This function is for the cross covariance matrix needed to compute the posterior predictive density.
[in] | x1 | first input vector or matrix |
[in] | x2 | second input vector or matrix |
[out] | res | squared distances between elements of x |
sigma_sq | squared standard deviation | |
root_5_inv_l | sqrt(5.0) / length_scale | |
inv_l_sq_5_3 | 5.0 / 3.0 / square(length_scale) | |
size1 | number of elements in x1 | |
size2 | number of elements in x2 | |
element_size | the number of doubles that make one element of x and y |
Definition at line 78 of file gp_matern52_cov.hpp.