Automatic Differentiation
 
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elt_multiply.hpp
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1#ifndef STAN_MATH_REV_FUN_ELT_MULTIPLY_HPP
2#define STAN_MATH_REV_FUN_ELT_MULTIPLY_HPP
3
11
12namespace stan {
13namespace math {
14
26template <typename Mat1, typename Mat2,
27 require_all_matrix_t<Mat1, Mat2>* = nullptr,
28 require_any_rev_matrix_t<Mat1, Mat2>* = nullptr>
29auto elt_multiply(const Mat1& m1, const Mat2& m2) {
30 check_matching_dims("elt_multiply", "m1", m1, "m2", m2);
31 using inner_ret_type = decltype(value_of(m1).cwiseProduct(value_of(m2)));
32 using ret_type = return_var_matrix_t<inner_ret_type, Mat1, Mat2>;
33 if (!is_constant<Mat1>::value && !is_constant<Mat2>::value) {
34 arena_t<promote_scalar_t<var, Mat1>> arena_m1 = m1;
35 arena_t<promote_scalar_t<var, Mat2>> arena_m2 = m2;
36 arena_t<ret_type> ret(arena_m1.val().cwiseProduct(arena_m2.val()));
37 reverse_pass_callback([ret, arena_m1, arena_m2]() mutable {
38 for (Eigen::Index j = 0; j < arena_m2.cols(); ++j) {
39 for (Eigen::Index i = 0; i < arena_m2.rows(); ++i) {
40 const auto ret_adj = ret.adj().coeffRef(i, j);
41 arena_m1.adj().coeffRef(i, j) += arena_m2.val().coeff(i, j) * ret_adj;
42 arena_m2.adj().coeffRef(i, j) += arena_m1.val().coeff(i, j) * ret_adj;
43 }
44 }
45 });
46 return ret_type(ret);
47 } else if (!is_constant<Mat1>::value) {
48 arena_t<promote_scalar_t<var, Mat1>> arena_m1 = m1;
49 arena_t<promote_scalar_t<double, Mat2>> arena_m2 = value_of(m2);
50 arena_t<ret_type> ret(arena_m1.val().cwiseProduct(arena_m2));
51 reverse_pass_callback([ret, arena_m1, arena_m2]() mutable {
52 arena_m1.adj().array() += arena_m2.array() * ret.adj().array();
53 });
54 return ret_type(ret);
55 } else if (!is_constant<Mat2>::value) {
56 arena_t<promote_scalar_t<double, Mat1>> arena_m1 = value_of(m1);
57 arena_t<promote_scalar_t<var, Mat2>> arena_m2 = m2;
58 arena_t<ret_type> ret(arena_m1.cwiseProduct(arena_m2.val()));
59 reverse_pass_callback([ret, arena_m2, arena_m1]() mutable {
60 arena_m2.adj().array() += arena_m1.array() * ret.adj().array();
61 });
62 return ret_type(ret);
63 }
64}
65
66} // namespace math
67} // namespace stan
68
69#endif
elt_multiply_< as_operation_cl_t< T_a >, as_operation_cl_t< T_b > > elt_multiply(T_a &&a, T_b &&b)
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_matching_dims(const char *function, const char *name1, const T1 &y1, const char *name2, const T2 &y2)
Check if the two containers have the same dimensions.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...