Automatic Differentiation
 
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fabs.hpp
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1#ifndef STAN_MATH_OPENCL_REV_FABS_HPP
2#define STAN_MATH_OPENCL_REV_FABS_HPP
3#ifdef STAN_OPENCL
4
8
9namespace stan {
10namespace math {
11
19template <typename T,
20 require_all_kernel_expressions_and_none_scalar_t<T>* = nullptr>
22 return make_callback_var(
23 fabs(A.val()), [A](vari_value<matrix_cl<double>>& res) mutable {
24 A.adj() = select(
25 isnan(A.val()), NOT_A_NUMBER,
26 select(A.val() < 0.0, A.adj() - res.adj(), A.adj() + res.adj()));
27 });
28}
29
30} // namespace math
31} // namespace stan
32
33#endif
34#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...
fvar< T > fabs(const fvar< T > &x)
Definition fabs.hpp:16
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...