Automatic Differentiation
 
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digamma.hpp
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1#ifndef STAN_MATH_OPENCL_REV_DIGAMMA_HPP
2#define STAN_MATH_OPENCL_REV_DIGAMMA_HPP
3#ifdef STAN_OPENCL
4
8
9namespace stan {
10namespace math {
11
19 const var_value<matrix_cl<double>>& A) {
20 return make_callback_var(
21 digamma(A.val()), [A](const vari_value<matrix_cl<double>> res) mutable {
22 A.adj() += elt_multiply(res.adj(), trigamma(A.val()));
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
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 > digamma(const fvar< T > &x)
Return the derivative of the log gamma function at the specified argument.
Definition digamma.hpp:23
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...