1#ifndef STAN_MATH_OPENCL_PRIM_NEG_BINOMIAL_2_LPMF_HPP
2#define STAN_MATH_OPENCL_PRIM_NEG_BINOMIAL_2_LPMF_HPP
36template <
bool propto,
typename T_n_cl,
typename T_location_cl,
37 typename T_precision_cl,
39 T_n_cl, T_location_cl, T_precision_cl>* =
nullptr,
41 T_precision_cl>* =
nullptr>
43 const T_n_cl& n,
const T_location_cl& mu,
const T_precision_cl& phi) {
44 static constexpr const char* function =
"neg_binomial_2_lpmf(OpenCL)";
45 using T_partials_return
51 mu,
"Precision parameter", phi);
52 const size_t N =
max_size(n, mu, phi);
63 const auto& mu_val =
value_of(mu_col);
64 const auto& phi_val =
value_of(phi_col);
66 auto check_n_nonnegative
67 =
check_cl(function,
"Failures variable", n,
"nonnegative");
68 auto n_nonnegative = n >= 0;
69 auto check_mu_positive_finite
70 =
check_cl(function,
"Log location parameter", mu_val,
"positive finite");
71 auto mu_positive_finite = 0 < mu_val &&
isfinite(mu_val);
72 auto check_phi_positive_finite
73 =
check_cl(function,
"Precision parameter", phi_val,
"positive finite");
74 auto phi_positive_finite = 0 < phi_val &&
isfinite(phi_val);
76 auto log_phi =
log(phi_val);
77 auto mu_plus_phi = mu_val + phi_val;
78 auto log_mu_plus_phi =
log(mu_plus_phi);
79 auto n_plus_phi = n + phi_val;
83 auto logp2 = static_select<include_summand<propto, T_precision_cl>::value>(
92 log_phi - log_mu_plus_phi);
93 auto phi_deriv =
elt_divide(mu_val - n, mu_plus_phi) + log_term
100 results(check_n_nonnegative, check_mu_positive_finite,
101 check_phi_positive_finite, logp_cl, mu_deriv_cl, phi_deriv_cl)
102 =
expressions(n_nonnegative, mu_positive_finite, phi_positive_finite,
112 partials<0>(ops_partials) = std::move(mu_deriv_cl);
115 partials<1>(ops_partials) = std::move(phi_deriv_cl);
117 return ops_partials.build(logp);
Represents an arithmetic matrix on the OpenCL device.
elt_multiply_< as_operation_cl_t< T_a >, as_operation_cl_t< T_b > > elt_multiply(T_a &&a, T_b &&b)
isfinite_< as_operation_cl_t< T > > isfinite(T &&a)
select_< as_operation_cl_t< T_condition >, as_operation_cl_t< T_then >, as_operation_cl_t< T_else > > select(T_condition &&condition, T_then &&then, T_else &&els)
Selection operation on kernel generator expressions.
auto check_cl(const char *function, const char *var_name, T &&y, const char *must_be)
Constructs a check on opencl matrix or expression.
results_cl< T_results... > results(T_results &&... results)
Deduces types for constructing results_cl object.
binomial_coefficient_log_< as_operation_cl_t< T1 >, as_operation_cl_t< T2 > > binomial_coefficient_log(T1 &&a, T2 &&b)
auto as_column_vector_or_scalar(T &&a)
as_column_vector_or_scalar of a kernel generator expression.
elt_divide_< as_operation_cl_t< T_a >, as_operation_cl_t< T_b > > elt_divide(T_a &&a, T_b &&b)
calc_if_< true, as_operation_cl_t< T > > calc_if(T &&a)
auto colwise_sum(T &&a)
Column wise sum - reduction of a kernel generator expression.
expressions_cl< T_expressions... > expressions(T_expressions &&... expressions)
Deduces types for constructing expressions_cl object.
return_type_t< T_n_cl, T_location_cl, T_precision_cl > neg_binomial_2_lpmf(const T_n_cl &n, const T_location_cl &mu, const T_precision_cl &phi)
The log of the negative binomial density for the specified scalars given the specified mean(s) and de...
auto from_matrix_cl(const T &src)
Copies the source matrix that is stored on the OpenCL device to the destination Eigen matrix.
require_all_t< is_prim_or_rev_kernel_expression< std::decay_t< Types > >... > require_all_prim_or_rev_kernel_expression_t
Require type satisfies is_prim_or_rev_kernel_expression.
require_any_not_t< is_stan_scalar< std::decay_t< Types > >... > require_any_not_stan_scalar_t
Require at least one of the types do not satisfy is_stan_scalar.
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
fvar< T > multiply_log(const fvar< T > &x1, const fvar< T > &x2)
T value_of(const fvar< T > &v)
Return the value of the specified variable.
fvar< T > log(const fvar< T > &x)
T1 static_select(T1 &&a, T2 &&b)
Returns one of the arguments that can be of different type, depending on the compile time condition.
void check_consistent_sizes(const char *)
Trivial no input case, this function is a no-op.
fvar< T > log1p(const fvar< T > &x)
auto sum(const std::vector< T > &m)
Return the sum of the entries of the specified standard vector.
int64_t max_size(const T1 &x1, const Ts &... xs)
Calculate the size of the largest input.
auto make_partials_propagator(Ops &&... ops)
Construct an partials_propagator.
fvar< T > digamma(const fvar< T > &x)
Return the derivative of the log gamma function at the specified argument.
typename partials_return_type< Args... >::type partials_return_t
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
bool isnan(const stan::math::var &a)
Checks if the given number is NaN.
Metaprogramming struct to detect whether a given type is constant in the mathematical sense (not the ...
Template metaprogram to calculate whether a summand needs to be included in a proportional (log) prob...