Commit Graph

4 Commits

Author SHA1 Message Date
Jason Rhinelander
5fd5074a0b Add support for Eigen::Ref<...> function arguments
Eigen::Ref is a common way to pass eigen dense types without needing a
template, e.g. the single definition `void
func(Eigen::Ref<Eigen::MatrixXd> x)` can be called with any double
matrix-like object.

The current pybind11 eigen support fails with internal errors if
attempting to bind a function with an Eigen::Ref<...> argument because
Eigen::Ref<...> satisfies the "is_eigen_dense" requirement, but can't
compile if actually used: Eigen::Ref<...> itself is not default
constructible, and so the argument std::tuple containing an
Eigen::Ref<...> isn't constructible, which results in compilation
failure.

This commit adds support for Eigen::Ref<...> by giving it its own
type_caster implementation which consists of an internal type_caster of
the referenced type, load/cast methods that dispatch to the internal
type_caster, and a unique_ptr to an Eigen::Ref<> instance that gets
set during load().

There is, of course, no performance advantage for pybind11-using code of
using Eigen::Ref<...>--we are allocating a matrix of the derived type
when loading it--but this has the advantage of allowing pybind11 to bind
transparently to C++ methods taking Eigen::Refs.
2016-08-03 16:50:22 -04:00
Ben North
3e0e779322 Tests: Add further '2*' functions for matrices
Add and declare to Python functions

    double_mat_cm() --- compute 2* a column-major matrix
    double_mat_rm() --- compute 2* a row-major matrix

to 'eigen.cpp' tests / example.
2016-07-05 21:13:24 +01:00
Ben North
b063e64b19 Eigen tests: '2*' functions for col-, row-vectors 2016-07-05 21:12:25 +01:00
Wenzel Jakob
9e0a0568fe transparent conversion of dense and sparse Eigen types 2016-05-05 21:44:29 +02:00