uniform_lpdf.hpp

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#ifndef STAN_MATH_OPENCL_PRIM_UNIFORM_LPDF_HPP
#define STAN_MATH_OPENCL_PRIM_UNIFORM_LPDF_HPP
#ifdef STAN_OPENCL
 
#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/constants.hpp>
#include <stan/math/prim/fun/elt_divide.hpp>
#include <stan/math/prim/fun/elt_multiply.hpp>
#include <stan/math/opencl/kernel_generator.hpp>
#include <stan/math/prim/functor/partials_propagator.hpp>
 
namespace stan {
namespace math {
 
template <bool propto, typename T_y_cl, typename T_low_cl, typename T_high_cl,
          require_all_prim_or_rev_kernel_expression_t<T_y_cl, T_low_cl,
                                                      T_high_cl>* = nullptr,
          require_any_not_stan_scalar_t<T_y_cl, T_low_cl, T_high_cl>* = nullptr>
inline return_type_t<T_y_cl, T_low_cl, T_high_cl> uniform_lpdf(
    const T_y_cl& y, const T_low_cl& alpha, const T_high_cl& beta) {
  static constexpr const char* function = "uniform_lpdf(OpenCL)";
  using T_partials_return = partials_return_t<T_y_cl, T_low_cl, T_high_cl>;
  using std::isfinite;
  using std::isnan;
 
  check_consistent_sizes(function, "Random variable", y,
                         "Lower bound parameter", alpha,
                         "Upper bound parameter", beta);
  const size_t N = max_size(y, alpha, beta);
  if (N == 0) {
    return 0.0;
  }
  if (!include_summand<propto, T_y_cl, T_low_cl, T_high_cl>::value) {
    return 0.0;
  }
 
  const auto& y_col = as_column_vector_or_scalar(y);
  const auto& alpha_col = as_column_vector_or_scalar(alpha);
  const auto& beta_col = as_column_vector_or_scalar(beta);
 
  const auto& y_val = value_of(y_col);
  const auto& alpha_val = value_of(alpha_col);
  const auto& beta_val = value_of(beta_col);
 
  auto check_y_not_nan
      = check_cl(function, "Random variable", y_val, "not NaN");
  auto y_not_nan = !isnan(y_val);
  auto check_alpha_finite
      = check_cl(function, "Lower bound parameter", alpha_val, "finite");
  auto alpha_finite = isfinite(alpha_val);
  auto check_beta_finite
      = check_cl(function, "Upper bound parameter", beta_val, "finite");
  auto beta_finite = isfinite(beta_val);
 
  auto diff = beta_val - alpha_val;
 
  auto check_diff_positive = check_cl(
      function, "Difference between upper and lower bound", diff, "positive");
  auto diff_positive = diff > 0;
 
  auto y_out_of_bounds
      = colwise_max(cast<char>(y_val < alpha_val || beta_val < y_val));
 
  auto logp_expr = colwise_sum(
      static_select<include_summand<propto, T_low_cl, T_high_cl>::value>(
          -log(diff), constant(0.0, N, 1)));
 
  auto inv_beta_minus_alpha = elt_divide(1.0, diff);
 
  matrix_cl<char> y_out_of_bounds_cl;
  matrix_cl<double> logp_cl;
  matrix_cl<double> alpha_deriv_cl;
  matrix_cl<double> beta_deriv_cl;
 
  results(check_y_not_nan, check_alpha_finite, check_beta_finite,
          check_diff_positive, y_out_of_bounds_cl, logp_cl, alpha_deriv_cl,
          beta_deriv_cl)
      = expressions(
          y_not_nan, alpha_finite, beta_finite, diff_positive, y_out_of_bounds,
          logp_expr,
          calc_if<!is_constant<T_low_cl>::value>(inv_beta_minus_alpha),
          calc_if<!is_constant<T_high_cl>::value>(-inv_beta_minus_alpha));
 
  if (from_matrix_cl(y_out_of_bounds_cl).any()) {
    return LOG_ZERO;
  }
 
  T_partials_return logp = sum(from_matrix_cl(logp_cl));
 
  auto ops_partials = make_partials_propagator(y_col, alpha_col, beta_col);
 
  if (!is_constant<T_low_cl>::value) {
    partials<1>(ops_partials) = std::move(alpha_deriv_cl);
  }
  if (!is_constant<T_high_cl>::value) {
    partials<2>(ops_partials) = std::move(beta_deriv_cl);
  }
  return ops_partials.build(logp);
}
 
}  // namespace math
}  // namespace stan
#endif
#endif