Automatic Differentiation
 
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distance.hpp
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1#ifndef STAN_MATH_OPENCL_PRIM_DISTANCE_HPP
2#define STAN_MATH_OPENCL_PRIM_DISTANCE_HPP
3#ifdef STAN_OPENCL
4
5#include <stan/math/opencl/matrix_cl.hpp>
6#include <stan/math/opencl/err.hpp>
7#include <stan/math/opencl/kernel_generator.hpp>
8#include <stan/math/opencl/prim/squared_distance.hpp>
9#include <stan/math/opencl/scalar_type.hpp>
10#include <stan/math/prim/fun/Eigen.hpp>
11#include <stan/math/prim/fun/sqrt.hpp>
12#include <stan/math/prim/meta.hpp>
13#include <algorithm>
14
15namespace stan {
16namespace math {
17
30template <
31 typename T_a, typename T_b,
32 require_all_nonscalar_prim_or_rev_kernel_expression_t<T_a, T_b>* = nullptr>
33inline auto distance(const T_a& a, const T_b& b) {
34 const char* function = "distance (OpenCL)";
35 check_vector(function, "a", a);
36 check_vector(function, "b", b);
37 return sqrt(squared_distance(a, b));
38}
39
40} // namespace math
41} // namespace stan
42#endif
43#endif
kernel_generator.hpp
matrix_cl.hpp
stan::math::distance
auto distance(const T_a &a, const T_b &b)
Returns the distance between the specified vectors.
Definition distance.hpp:33
stan::math::check_vector
void check_vector(const char *function, const char *name, const Mat &x)
Check the input is either a row vector or column vector or a matrix with a single row or column.
Definition check_vector.hpp:32
stan::math::sqrt
fvar< T > sqrt(const fvar< T > &x)
Definition sqrt.hpp:18
stan::math::squared_distance
auto squared_distance(const T_a &a, const T_b &b)
Returns the squared distance.
Definition squared_distance.hpp:30
stan
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition unit_vector_constrain.hpp:15
squared_distance.hpp
scalar_type.hpp