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grad.hpp
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1 #ifndef STAN_MATH_REV_MAT_FUN_GRAD_HPP
2 #define STAN_MATH_REV_MAT_FUN_GRAD_HPP
3
4 #include <stan/math/prim/mat/fun/Eigen.hpp>
5 #include <stan/math/rev/mat/fun/Eigen_NumTraits.hpp>
6 #include <stan/math/rev/core.hpp>
7
8 namespace stan {
9 namespace math {
10
24 inline void grad(var& v,
25 Eigen::Matrix<var, Eigen::Dynamic, 1>& x,
26 Eigen::VectorXd& g) {
27 grad(v.vi_);
28 g.resize(x.size());
29 for (int i = 0; i < x.size(); ++i)
30 g(i) = x(i).vi_->adj_;
31 }
32
33 }
34 }
35 #endif
core.hpp
Eigen_NumTraits.hpp
stan
Definition: log_sum_exp.hpp:8
stan::math::var
Independent (input) and dependent (output) variables for gradients.
Definition: var.hpp:30
stan::math::grad
static void grad(vari *vi)
Compute the gradient for all variables starting from the specified root variable implementation.
Definition: grad.hpp:30
stan::math::var::vi_
vari * vi_
Pointer to the implementation of this variable.
Definition: var.hpp:42
Eigen.hpp

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