Automatic Differentiation
 
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exp2.hpp
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1#ifndef STAN_MATH_PRIM_FUN_EXP2_HPP
2#define STAN_MATH_PRIM_FUN_EXP2_HPP
3
6#include <cmath>
7
8namespace stan {
9namespace math {
10
11template <typename T, require_arithmetic_t<T>* = nullptr>
12inline auto exp2(T&& x) {
13 return std::exp2(x);
14}
18struct exp2_fun {
26 template <typename T>
27 static inline auto fun(T&& x) {
28 return exp2(std::forward<T>(x));
29 }
30};
31
41template <
42 typename T,
45inline auto exp2(T&& x) {
46 return apply_scalar_unary<exp2_fun, T>::apply(std::forward<T>(x));
47}
48
49} // namespace math
50} // namespace stan
51
52#endif
require_t< is_container< std::decay_t< T > > > require_container_t
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.
require_not_t< is_var_matrix< std::decay_t< T > > > require_not_var_matrix_t
Require type does not satisfy is_var_matrix.
fvar< T > exp2(const fvar< T > &x)
Definition exp2.hpp:14
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(T &&x)
Return the base two exponent of the specified argument.
Definition exp2.hpp:27
Structure to wrap exp2() so it can be vectorized.
Definition exp2.hpp:18