Automatic Differentiation
 
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elt_divide.hpp
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1#ifndef STAN_MATH_OPENCL_REV_ELT_DIVIDE_HPP
2#define STAN_MATH_OPENCL_REV_ELT_DIVIDE_HPP
3#ifdef STAN_OPENCL
4
14
15namespace stan {
16namespace math {
17
27template <typename T_a, typename T_b,
28 require_all_prim_or_rev_kernel_expression_t<T_a, T_b>* = nullptr,
29 require_any_var_t<T_a, T_b>* = nullptr,
30 require_any_not_stan_scalar_t<T_a, T_b>* = nullptr>
31inline var_value<matrix_cl<double>> elt_divide(T_a&& a, T_b&& b) {
32 arena_t<T_a> a_arena = std::forward<T_a>(a);
33 arena_t<T_b> b_arena = std::forward<T_b>(b);
34
35 return make_callback_var(
36 elt_divide(value_of(a_arena), value_of(b_arena)),
37 [a_arena, b_arena](const vari_value<matrix_cl<double>>& res) mutable {
38 adjoint_results(a_arena, b_arena)
39 += expressions(elt_divide(res.adj(), value_of(b_arena)),
40 -elt_divide(res.val(), value_of(b_arena)));
41 });
42}
43
44} // namespace math
45} // namespace stan
46
47#endif
48#endif
Represents an arithmetic matrix on the OpenCL device.
Definition matrix_cl.hpp:47
elt_divide_< as_operation_cl_t< T_a >, as_operation_cl_t< T_b > > elt_divide(T_a &&a, T_b &&b)
expressions_cl< T_expressions... > expressions(T_expressions &&... expressions)
Deduces types for constructing expressions_cl object.
adjoint_results_cl< T_results... > adjoint_results(T_results &&... results)
Deduces types for constructing adjoint_results_cl object.
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...
T value_of(const fvar< T > &v)
Return the value of the specified variable.
Definition value_of.hpp:18
typename internal::arena_type_impl< std::decay_t< T > >::type arena_t
Determines a type that can be used in place of T that does any dynamic allocations on the AD stack.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...