Automatic Differentiation
 
Loading...
Searching...
No Matches
cumulative_sum.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_OPENCL_REV_CUMULATIVE_SUM_HPP
2#define STAN_MATH_OPENCL_REV_CUMULATIVE_SUM_HPP
3#ifdef STAN_OPENCL
4
9
10namespace stan {
11namespace math {
12
24template <typename T,
25 require_all_kernel_expressions_and_none_scalar_t<T>* = nullptr>
27 return make_callback_var(
28 cumulative_sum(A.val()), [A](vari_value<matrix_cl<double>>& res) mutable {
29 A.adj() += reverse(cumulative_sum(reverse(res.adj())));
30 });
31}
32
33} // namespace math
34} // namespace stan
35
36#endif
37#endif
Represents an arithmetic matrix on the OpenCL device.
Definition matrix_cl.hpp:47
var_value< plain_type_t< T > > make_callback_var(T &&value, F &&functor)
Creates a new var initialized with a callback_vari with a given value and reverse-pass callback funct...
auto cumulative_sum(T_vec &&v)
Return the cumulative sum of the specified vector.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...