1#ifndef STAN_MATH_OPENCL_PRIM_PARETO_LCCDF_HPP 
    2#define STAN_MATH_OPENCL_PRIM_PARETO_LCCDF_HPP 
   29    typename T_y_cl, 
typename T_scale_cl, 
typename T_shape_cl,
 
   31                                                T_shape_cl>* = 
nullptr,
 
   32    require_any_not_stan_scalar_t<T_y_cl, T_scale_cl, T_shape_cl>* = 
nullptr>
 
   34    const T_y_cl& y, 
const T_scale_cl& y_min, 
const T_shape_cl& alpha) {
 
   35  static constexpr const char* function = 
"pareto_lccdf(OpenCL)";
 
   42                         y_min, 
"Scale parameter", alpha);
 
   43  const size_t N = 
max_size(y, y_min, alpha);
 
   53  const auto& y_min_val = 
value_of(y_min_col);
 
   54  const auto& alpha_val = 
value_of(alpha_col);
 
   56  auto check_y_nonnegative
 
   57      = 
check_cl(function, 
"Random variable", y_val, 
"nonnegative");
 
   58  auto y_not_nonnegative_expr = 0 <= y_val;
 
   59  auto check_y_min_positive_finite
 
   60      = 
check_cl(function, 
"Scale parameter", y_min_val, 
"positive finite");
 
   61  auto y_min_positive_finite_expr = 0 < y_min_val && 
isfinite(y_min_val);
 
   62  auto check_alpha_positive_finite
 
   63      = 
check_cl(function, 
"Shape parameter", alpha_val, 
"positive finite");
 
   64  auto alpha_positive_finite_expr = 0 < alpha_val && 
isfinite(alpha_val);
 
   66  auto any_y_lower_than_y_min = 
colwise_max(cast<char>(y_val < y_min_val));
 
   67  auto any_y_inf = 
colwise_max(cast<char>(isinf(y_val)));
 
   72  auto alpha_deriv = log_quot;
 
   73  auto y_min_deriv = 
elt_divide(alpha_val, y_min_val);
 
   83  results(check_y_nonnegative, check_y_min_positive_finite,
 
   84          check_alpha_positive_finite, any_y_lower_than_y_min_cl, any_y_inf_cl,
 
   85          lccdf_cl, y_deriv_cl, y_min_deriv_cl, alpha_deriv_cl)
 
   86      = 
expressions(y_not_nonnegative_expr, y_min_positive_finite_expr,
 
   87                    alpha_positive_finite_expr, any_y_lower_than_y_min,
 
   88                    any_y_inf, lccdf_expr,
 
   89                    calc_if<is_autodiff_v<T_y_cl>>(y_deriv),
 
   90                    calc_if<is_autodiff_v<T_scale_cl>>(y_min_deriv),
 
   91                    calc_if<is_autodiff_v<T_shape_cl>>(alpha_deriv));
 
  105  if constexpr (is_autodiff_v<T_y_cl>) {
 
  106    partials<0>(ops_partials) = std::move(y_deriv_cl);
 
  108  if constexpr (is_autodiff_v<T_scale_cl>) {
 
  109    partials<1>(ops_partials) = std::move(y_min_deriv_cl);
 
  111  if constexpr (is_autodiff_v<T_shape_cl>) {
 
  112    partials<2>(ops_partials) = std::move(alpha_deriv_cl);
 
  114  return ops_partials.build(lccdf);
 
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)
 
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.
 
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)
 
auto colwise_max(T &&a)
Column wise max - reduction of a kernel generator expression.
 
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_y_cl, T_scale_cl, T_shape_cl > pareto_lccdf(const T_y_cl &y, const T_scale_cl &y_min, const T_shape_cl &alpha)
Returns the Pareto cumulative density function.
 
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.
 
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
 
T value_of(const fvar< T > &v)
Return the value of the specified variable.
 
fvar< T > log(const fvar< T > &x)
 
static constexpr double NEGATIVE_INFTY
Negative infinity.
 
void check_consistent_sizes(const char *)
Trivial no input case, this function is a no-op.
 
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 > exp(const fvar< T > &x)
 
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.
 
bool isinf(const stan::math::var &a)
Return 1 if the specified argument is positive infinity or negative infinity and 0 otherwise.