1 #ifndef STAN_MATH_OPENCL_PRIM_BERNOULLI_LCDF_HPP
2 #define STAN_MATH_OPENCL_PRIM_BERNOULLI_LCDF_HPP
3 #ifdef STAN_OPENCL
4
5 #include <stan/math/prim/meta.hpp>
6 #include <stan/math/prim/err.hpp>
7 #include <stan/math/opencl/kernel_generator.hpp>
8 #include <stan/math/prim/fun/constants.hpp>
9 #include <stan/math/prim/fun/elt_divide.hpp>
10 #include <stan/math/prim/functor/operands_and_partials.hpp>
11
12 namespace stan {
13 namespace math {
14
15 /** \ingroup prob_dists
16 * Returns the log CDF of the Bernoulli distribution. If containers are
17 * supplied, returns the log sum of the probabilities.
18 *
19 * @tparam T_n_cl type of integer parameter
20 * @tparam T_prob_cl type of chance of success parameter
21 * @param n integer parameter
22 * @param theta logit-transformed chance of success parameter
23 * @return log probability or log sum of probabilities
24 * @throw std::domain_error if theta is not a valid probability
25 * @throw std::invalid_argument if container sizes mismatch.
26 */
27 template <
28 typename T_n_cl, typename T_prob_cl,
29 require_all_prim_or_rev_kernel_expression_t<T_n_cl, T_prob_cl>* = nullptr,
30 require_any_not_stan_scalar_t<T_n_cl, T_prob_cl>* = nullptr>
bernoulli_lcdf(const T_n_cl & n,const T_prob_cl & theta)31 return_type_t<T_prob_cl> bernoulli_lcdf(const T_n_cl& n,
32 const T_prob_cl& theta) {
33 static const char* function = "bernoulli_lcdf(OpenCL)";
34 using T_partials_return = partials_return_t<T_prob_cl>;
35 using std::isnan;
36 constexpr bool is_n_vector = !is_stan_scalar<T_n_cl>::value;
37 constexpr bool is_theta_vector = !is_stan_scalar<T_prob_cl>::value;
38
39 check_consistent_sizes(function, "Random variable", n,
40 "Probability parameter", theta);
41 const size_t N = is_n_vector ? size(n) : size(theta);
42 if (N == 0) {
43 return 0.0;
44 }
45
46 const auto& theta_col = as_column_vector_or_scalar(theta);
47 const auto& theta_val = value_of(theta_col);
48
49 auto check_theta_bounded = check_cl(function, "Probability parameter",
50 theta_val, "in the interval [0, 1]");
51 auto theta_bounded_expr = 0.0 <= theta_val && theta_val <= 1.0;
52
53 auto any_n_negative = colwise_max(cast<char>(n < 0));
54 auto Pi = 1.0 - theta_val;
55 auto cond = n >= 1;
56 auto P_expr = colwise_sum(select(cond, 0.0, log(Pi)));
57 auto deriv = select(cond, 0.0, elt_divide(-1.0, Pi));
58
59 matrix_cl<char> any_n_negative_cl;
60 matrix_cl<double> P_cl;
61 matrix_cl<double> deriv_cl;
62
63 results(check_theta_bounded, any_n_negative_cl, P_cl, deriv_cl)
64 = expressions(theta_bounded_expr, any_n_negative, P_expr,
65 calc_if<(!is_constant_all<T_prob_cl>::value)>(deriv));
66
67 if (from_matrix_cl(any_n_negative_cl).maxCoeff()) {
68 return NEGATIVE_INFTY;
69 }
70
71 T_partials_return P = from_matrix_cl(P_cl).sum();
72 operands_and_partials<decltype(theta_col)> ops_partials(theta_col);
73
74 if (!is_constant_all<T_prob_cl>::value) {
75 ops_partials.edge1_.partials_ = std::move(deriv_cl);
76 }
77
78 return ops_partials.build(P);
79 }
80
81 } // namespace math
82 } // namespace stan
83 #endif
84 #endif
85