1#ifndef STAN_MATH_REV_FUN_SOFTMAX_HPP
2#define STAN_MATH_REV_FUN_SOFTMAX_HPP
26template <
typename Mat, require_rev_matrix_t<Mat>* =
nullptr>
30 if (alpha.size() == 0) {
31 return ret_type(alpha);
38 const auto& res_adj =
to_ref(res.adj());
40 += -res_val * res_adj.dot(res_val) + res_val.cwiseProduct(res_adj);
void reverse_pass_callback(F &&functor)
Puts a callback on the autodiff stack to be called in reverse pass.
auto softmax(const ColVec &alpha)
T value_of(const fvar< T > &v)
Return the value of the specified variable.
ref_type_t< T && > to_ref(T &&a)
This evaluates expensive Eigen expressions.
typename plain_type< T >::type plain_type_t
typename internal::arena_type_impl< std::decay_t< T > >::type arena_t
Determines a type that can be used in place of T that does any dynamic allocations on the AD stack.
std::conditional_t< is_any_var_matrix< ReturnType, Types... >::value, stan::math::var_value< stan::math::promote_scalar_t< double, plain_type_t< ReturnType > > >, stan::math::promote_scalar_t< stan::math::var_value< double >, plain_type_t< ReturnType > > > return_var_matrix_t
Given an Eigen type and several inputs, determine if a matrix should be var<Matrix> or Matrix<var>.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...