to_matrix.hpp

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#ifndef STAN_MATH_OPENCL_PRIM_TO_MATRIX_HPP
#define STAN_MATH_OPENCL_PRIM_TO_MATRIX_HPP
#ifdef STAN_OPENCL
 
#include <stan/math/opencl/matrix_cl.hpp>
#include <stan/math/opencl/kernel_generator.hpp>
 
namespace stan {
namespace math {
 
template <typename T_x,
          require_nonscalar_prim_or_rev_kernel_expression_t<T_x>* = nullptr>
inline T_x to_matrix(T_x&& x) {
  return std::forward<T_x>(x);
}
 
template <typename T_x,
          require_all_kernel_expressions_and_none_scalar_t<T_x>* = nullptr>
inline matrix_cl<return_type_t<T_x>> to_matrix(const T_x& x, int m, int n) {
  using res_scal = return_type_t<T_x>;
  check_size_match("to_matrix", "rows * columns", "", m * n, "input size", "",
                   x.size());
  matrix_cl<res_scal> res(m, n);
  matrix_cl<res_scal> tmp(res.buffer(), x.rows(), x.cols());
  tmp = x;
  for (cl::Event e : tmp.write_events()) {
    res.add_write_event(e);
  }
  return res;
}
 
template <typename T_x,
          require_nonscalar_prim_or_rev_kernel_expression_t<T_x>* = nullptr>
inline auto to_matrix(const T_x& x, int m, int n, bool col_major)
    -> decltype(to_matrix(x, m, n)) {
  if (col_major) {
    return to_matrix(x, m, n);
  } else {
    return transpose(to_matrix(transpose(x), n, m));
  }
}
 
}  // namespace math
}  // namespace stan
#endif
#endif