Automatic Differentiation
 
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round.hpp
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1#ifndef STAN_MATH_PRIM_FUN_ROUND_HPP
2#define STAN_MATH_PRIM_FUN_ROUND_HPP
3
8#include <cmath>
9
10namespace stan {
11namespace math {
12
20struct round_fun {
21 template <typename T>
22 static inline auto fun(const T& x) {
23 using std::round;
24 return round(x);
25 }
26};
27
35template <typename Container,
38 Container>* = nullptr>
39inline auto round(const Container& x) {
41}
42
51template <typename Container,
53inline auto round(const Container& x) {
55 x, [](const auto& v) { return v.array().round(); });
56}
57
58} // namespace math
59} // namespace stan
60
61#endif
require_not_t< container_type_check_base< is_container, scalar_type_t, TypeCheck, Check... > > require_not_container_st
Require type does not satisfy is_container.
require_t< container_type_check_base< is_container, scalar_type_t, TypeCheck, Check... > > require_container_st
Require type satisfies is_container.
require_all_not_t< is_nonscalar_prim_or_rev_kernel_expression< std::decay_t< Types > >... > require_all_not_nonscalar_prim_or_rev_kernel_expression_t
Require none of the types satisfy is_nonscalar_prim_or_rev_kernel_expression.
fvar< T > round(const fvar< T > &x)
Return the closest integer to the specified argument, with halfway cases rounded away from zero.
Definition round.hpp:24
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Base template class for vectorization of unary scalar functions defined by a template class F to a sc...
static auto fun(const T &x)
Definition round.hpp:22
Structure to wrap round() so it can be vectorized.
Definition round.hpp:20