1#ifndef STAN_MATH_OPENCL_PRIM_UNIFORM_LCCDF_HPP 
    2#define STAN_MATH_OPENCL_PRIM_UNIFORM_LCCDF_HPP 
   29template <
typename T_y_cl, 
typename T_low_cl, 
typename T_high_cl,
 
   31                                                      T_high_cl>* = 
nullptr,
 
   32          require_any_not_stan_scalar_t<T_y_cl, T_low_cl, T_high_cl>* = 
nullptr>
 
   34    const T_y_cl& y, 
const T_low_cl& alpha, 
const T_high_cl& 
beta) {
 
   35  static constexpr const char* function = 
"uniform_lccdf(OpenCL)";
 
   41                         alpha, 
"Scale parameter", 
beta);
 
   52  const auto& alpha_val = 
value_of(alpha_col);
 
   53  const auto& beta_val = 
value_of(beta_col);
 
   56      = 
check_cl(function, 
"Random variable", y_val, 
"not NaN");
 
   57  auto y_not_nan_expr = !isnan(y_val);
 
   58  auto check_alpha_finite
 
   59      = 
check_cl(function, 
"Lower bound parameter", alpha_val, 
"finite");
 
   60  auto alpha_finite_expr = 
isfinite(alpha_val);
 
   61  auto check_beta_finite
 
   62      = 
check_cl(function, 
"Upper bound parameter", beta_val, 
"finite");
 
   63  auto beta_finite_expr = 
isfinite(beta_val);
 
   64  auto b_minus_a = beta_val - alpha_val;
 
   66      function, 
"Difference between upper and lower bound parameters", beta_val,
 
   68  auto diff_positive_expr = b_minus_a > 0.0;
 
   70  auto any_y_out_of_bounds
 
   71      = 
colwise_max(cast<char>(y_val < alpha_val || y_val > beta_val));
 
   72  auto y_minus_alpha = y_val - alpha_val;
 
   73  auto ccdf_n = 1.0 - 
elt_divide(y_minus_alpha, b_minus_a);
 
   78  auto low_deriv = 
elt_multiply(beta_val - y_val, rep_deriv);
 
   79  auto high_deriv = 
elt_multiply(y_minus_alpha, rep_deriv);
 
   87  results(check_y_not_nan, check_alpha_finite, check_beta_finite,
 
   88          check_diff_positive, any_y_out_of_bounds_cl, lccdf_cl, y_deriv_cl,
 
   89          alpha_deriv_cl, beta_deriv_cl)
 
   90      = 
expressions(y_not_nan_expr, alpha_finite_expr, beta_finite_expr,
 
   91                    diff_positive_expr, any_y_out_of_bounds, lccdf_expr,
 
   92                    calc_if<is_autodiff_v<T_y_cl>>(y_deriv),
 
   93                    calc_if<is_autodiff_v<T_low_cl>>(low_deriv),
 
   94                    calc_if<is_autodiff_v<T_high_cl>>(high_deriv));
 
  104  if constexpr (is_autodiff_v<T_y_cl>) {
 
  105    partials<0>(ops_partials) = std::move(y_deriv_cl);
 
  107  if constexpr (is_autodiff_v<T_low_cl>) {
 
  108    partials<1>(ops_partials) = std::move(alpha_deriv_cl);
 
  110  if constexpr (is_autodiff_v<T_high_cl>) {
 
  111    partials<2>(ops_partials) = std::move(beta_deriv_cl);
 
  113  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_low_cl, T_high_cl > uniform_lccdf(const T_y_cl &y, const T_low_cl &alpha, const T_high_cl &beta)
Returns the log uniform complementary cumulative distribution function for the given location,...
 
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)
 
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.
 
fvar< T > beta(const fvar< T > &x1, const fvar< T > &x2)
Return fvar with the beta function applied to the specified arguments and its gradient.
 
auto make_partials_propagator(Ops &&... ops)
Construct an partials_propagator.
 
fvar< T > square(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.