I'm using Eigen's EIGEN_MATRIXBASE_PLUGIN functionality to implement a CwiseUnary expression and I'm having trouble working out to extend this work with operator=
I'm working with a struct that has two members: .val_ and .d_, and I've added a CwiseUnaryOp to access those:
template<typename T>
struct d_Op {
EIGEN_EMPTY_STRUCT_CTOR(d_Op)
typedef T result_type;
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const result_type&
operator()(const stan::math::fvar<T> &v) const { return v.d_; }
};
template<typename T>
struct val_Op {
EIGEN_EMPTY_STRUCT_CTOR(val_Op)
typedef T result_type;
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const result_type&
operator()(const stan::math::fvar<T> &v) const { return v.val_; }
};
inline const CwiseUnaryOp<d_Op<typename stan::partials_type<Scalar>::type>, const Derived>
d_() const { return CwiseUnaryOp<d_Op<typename stan::partials_type<Scalar>::type>,
const Derived>
(derived(), d_Op<typename stan::partials_type<Scalar>::type>());
}
inline const CwiseUnaryOp<val_Op<typename stan::partials_type<Scalar>::type>, const Derived>
val_() const { return CwiseUnaryOp<val_Op<typename stan::partials_type<Scalar>::type>,
const Derived>
(derived(), val_Op<typename stan::partials_type<Scalar>::type>());
}
Such that, given a matrix of type Matrix<stan::math::fvar<double>,-1,-1> m
, I can simply write: m.val_()
.
This is all working fine, however I'd like to extend it to write to those values, rather than just reading them (i.e. m.val_() = MatrixXD::Random(int,int)
). But I can't figure out how to overload the =
operator, giving me errors like this:
test.cpp:30:14: error: no match for ‘operator=’ (operand types are ‘const
Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Matrix<stan::math::fvar<double>,
-1, -1> >::val_Op<double>, const Eigen::Matrix<stan::math::fvar<double>, -1, -1> >’
and ‘Eigen::MatrixXd’ {aka ‘Eigen::Matrix<double, -1, -1>’})
Am I missing something very obvious here?
EDIT: Output when using CwiseUnaryView instead:
test.cpp:30:14: error: no match for ‘operator=’
(operand types are ‘const Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::fvar<double>, -1, -1> >::val_Op<double>, const Eigen::Matrix<stan::math::fvar<double>, -1, -1> >’
and ‘Eigen::MatrixXd’ {aka ‘Eigen::Matrix<double, -1, -1>’})
a.val_() = inp;
Here is a minimal working example with a dummy fvar
implementation, and defining the CwiseUnaryView
outside any class:
#include <Eigen/Core>
template<class X>
struct fvar
{
X d_, val_;
};
template<typename T>
struct d_Op {
EIGEN_EMPTY_STRUCT_CTOR(d_Op)
typedef T result_type;
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const result_type&
operator()(const fvar<T> &v) const { return v.d_; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE result_type&
operator()(fvar<T> &v) const { return v.d_; }
};
void foo(Eigen::Matrix<fvar<float>, 4,4> &out, Eigen::Matrix4f const &in)
{
Eigen::CwiseUnaryView<d_Op<float>, Eigen::Matrix<fvar<float>, 4,4> > view(out);
view = in;
}
With optimization enabled, this compiles to a simple loop: https://godbolt.org/z/mgktfv