Automatic Differentiation
 
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diag_pre_multiply.hpp
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1#ifndef STAN_MATH_REV_FUN_DIAG_PRE_MULTIPLY_HPP
2#define STAN_MATH_REV_FUN_DIAG_PRE_MULTIPLY_HPP
3
7
8namespace stan {
9namespace math {
10
23template <typename T1, typename T2, require_vector_t<T1>* = nullptr,
24 require_matrix_t<T2>* = nullptr,
25 require_any_st_var<T1, T2>* = nullptr>
26auto diag_pre_multiply(const T1& m1, const T2& m2) {
27 check_size_match("diag_pre_multiply", "m1.size()", m1.size(), "m2.rows()",
28 m2.rows());
29 using inner_ret_type = decltype(value_of(m1).asDiagonal() * value_of(m2));
30 using ret_type = return_var_matrix_t<inner_ret_type, T1, T2>;
31 if (!is_constant<T1>::value && !is_constant<T2>::value) {
32 arena_t<promote_scalar_t<var, T1>> arena_m1 = m1;
33 arena_t<promote_scalar_t<var, T2>> arena_m2 = m2;
34 arena_t<ret_type> ret(arena_m1.val().asDiagonal() * arena_m2.val());
35 reverse_pass_callback([ret, arena_m1, arena_m2]() mutable {
36 arena_m1.adj() += arena_m2.val().cwiseProduct(ret.adj()).rowwise().sum();
37 arena_m2.adj() += arena_m1.val().asDiagonal() * ret.adj();
38 });
39 return ret_type(ret);
40 } else if (!is_constant<T1>::value) {
41 arena_t<promote_scalar_t<var, T1>> arena_m1 = m1;
42 arena_t<promote_scalar_t<double, T2>> arena_m2 = value_of(m2);
43 arena_t<ret_type> ret(arena_m1.val().asDiagonal() * arena_m2);
44 reverse_pass_callback([ret, arena_m1, arena_m2]() mutable {
45 arena_m1.adj() += arena_m2.val().cwiseProduct(ret.adj()).rowwise().sum();
46 });
47 return ret_type(ret);
48 } else if (!is_constant<T2>::value) {
49 arena_t<promote_scalar_t<double, T1>> arena_m1 = value_of(m1);
50 arena_t<promote_scalar_t<var, T2>> arena_m2 = m2;
51 arena_t<ret_type> ret(arena_m1.asDiagonal() * arena_m2.val());
52 reverse_pass_callback([ret, arena_m1, arena_m2]() mutable {
53 arena_m2.adj() += arena_m1.val().asDiagonal() * ret.adj();
54 });
55 return ret_type(ret);
56 }
57}
58
59} // namespace math
60} // namespace stan
61
62#endif
auto diag_pre_multiply(const T1 &m1, const T2 &m2)
Return the product of the diagonal matrix formed from the vector or row_vector and a matrix.
void reverse_pass_callback(F &&functor)
Puts a callback on the autodiff stack to be called in reverse pass.
T value_of(const fvar< T > &v)
Return the value of the specified variable.
Definition value_of.hpp:18
void check_size_match(const char *function, const char *name_i, T_size1 i, const char *name_j, T_size2 j)
Check if the provided sizes match.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...