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
14struct exp2_fun {
22 template <typename T>
23 static inline auto fun(const T& x) {
24 using std::exp2;
25 return exp2(x);
26 }
27};
28
38template <
39 typename T,
42inline auto exp2(const T& x) {
44}
45
46} // namespace math
47} // namespace stan
48
49#endif
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(const T &x)
Return the base two exponent of the specified argument.
Definition exp2.hpp:23
Structure to wrap exp2() so it can be vectorized.
Definition exp2.hpp:14