Automatic Differentiation
 
Loading...
Searching...
No Matches
operator_unary_minus.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_OPENCL_REV_OPERATOR_UNARY_MINUS_HPP
2#define STAN_MATH_OPENCL_REV_OPERATOR_UNARY_MINUS_HPP
3#ifdef STAN_OPENCL
4
7
8namespace stan {
9namespace math {
10
17template <typename T,
18 require_all_kernel_expressions_and_none_scalar_t<T>* = nullptr>
20 return make_callback_var(-M.val(),
21 [M](vari_value<matrix_cl<double>>& res) mutable {
22 M.adj() -= res.adj();
23 });
24}
25
26} // namespace math
27} // namespace stan
28
29#endif
30#endif
Represents an arithmetic matrix on the OpenCL device.
Definition matrix_cl.hpp:47
fvar< T > operator-(const fvar< T > &x1, const fvar< T > &x2)
Return the difference of the specified arguments.
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...
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...