Automatic Differentiation
 
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log2.hpp
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1#ifndef STAN_MATH_REV_FUN_LOG2_HPP
2#define STAN_MATH_REV_FUN_LOG2_HPP
3
8
9namespace stan {
10namespace math {
11
43template <typename T, require_stan_scalar_or_eigen_t<T>* = nullptr>
44inline auto log2(const var_value<T>& a) {
45 return make_callback_var(log2(a.val()), [a](auto& vi) mutable {
46 as_array_or_scalar(a.adj()) += as_array_or_scalar(vi.adj())
47 / (LOG_TWO * as_array_or_scalar(a.val()));
48 });
49}
50
51} // namespace math
52} // namespace stan
53#endif
constexpr double log2()
Return natural logarithm of two.
Definition log2.hpp:17
var_value< plain_type_t< T > > make_callback_var(T &&value, F &&functor)
Creates a new var initialized with a callback_vari with a given value and reverse-pass callback funct...
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...