Merge pull request #312 from jagerman/eigen-ref-args

Add support for Eigen::Ref<...> function arguments

example/eigen.cpp

@@ -9,6 +9,7 @@
 
 #include "example.h"
 #include <pybind11/eigen.h>
+#include <Eigen/Cholesky>
 
 Eigen::VectorXf double_col(const Eigen::VectorXf& x)
 { return 2.0f * x; }
@@ -19,6 +20,14 @@ Eigen::RowVectorXf double_row(const Eigen::RowVectorXf& x)
 Eigen::MatrixXf double_mat_cm(const Eigen::MatrixXf& x)
 { return 2.0f * x; }
 
+// Different ways of passing via Eigen::Ref; the first and second are the Eigen-recommended
+Eigen::MatrixXd cholesky1(Eigen::Ref<Eigen::MatrixXd> &x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky2(const Eigen::Ref<const Eigen::MatrixXd> &x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky3(const Eigen::Ref<Eigen::MatrixXd> &x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky4(Eigen::Ref<const Eigen::MatrixXd> &x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky5(Eigen::Ref<Eigen::MatrixXd> x) { return x.llt().matrixL(); }
+Eigen::MatrixXd cholesky6(Eigen::Ref<const Eigen::MatrixXd> x) { return x.llt().matrixL(); }
+
 typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> MatrixXfRowMajor;
 MatrixXfRowMajor double_mat_rm(const MatrixXfRowMajor& x)
 { return 2.0f * x; }
@@ -40,6 +49,12 @@ void init_eigen(py::module &m) {
     m.def("double_row", &double_row);
     m.def("double_mat_cm", &double_mat_cm);
     m.def("double_mat_rm", &double_mat_rm);
+    m.def("cholesky1", &cholesky1);
+    m.def("cholesky2", &cholesky2);
+    m.def("cholesky3", &cholesky3);
+    m.def("cholesky4", &cholesky4);
+    m.def("cholesky5", &cholesky5);
+    m.def("cholesky6", &cholesky6);
 
     m.def("fixed_r", [mat]() -> FixedMatrixR { 
         return FixedMatrixR(mat);

example/eigen.py

@@ -11,6 +11,7 @@ from example import sparse_r, sparse_c
 from example import sparse_passthrough_r, sparse_passthrough_c
 from example import double_row, double_col
 from example import double_mat_cm, double_mat_rm
+from example import cholesky1, cholesky2, cholesky3, cholesky4, cholesky5, cholesky6
 try:
     import numpy as np
     import scipy
@@ -70,3 +71,10 @@ slices = [counting_3d[0, :, :], counting_3d[:, 0, :], counting_3d[:, :, 0]]
 for slice_idx, ref_mat in enumerate(slices):
     print("double_mat_cm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_cm(ref_mat), 2.0 * ref_mat)))
     print("double_mat_rm(%d) = %s" % (slice_idx, check_got_vs_ref(double_mat_rm(ref_mat), 2.0 * ref_mat)))
+
+i = 1
+for chol in [cholesky1, cholesky2, cholesky3, cholesky4, cholesky5, cholesky6]:
+    mymat = chol(np.array([[1,2,4], [2,13,23], [4,23,77]]))
+    print("cholesky" + str(i) + " " + ("OK" if (mymat == np.array([[1,0,0], [2,3,0], [4,5,6]])).all() else "NOT OKAY"))
+    i += 1
+

example/eigen.ref

@@ -27,3 +27,9 @@ double_mat_cm(1) = OK
 double_mat_rm(1) = OK
 double_mat_cm(2) = OK
 double_mat_rm(2) = OK
+cholesky1 OK
+cholesky2 OK
+cholesky3 OK
+cholesky4 OK
+cholesky5 OK
+cholesky6 OK

include/pybind11/eigen.h

@@ -40,6 +40,19 @@ public:
     static constexpr bool value = decltype(test(std::declval<T>()))::value;
 };
 
+// Eigen::Ref<Derived> satisfies is_eigen_dense, but isn't constructible, which means we can't load
+// it (since there is no reference!), but we can cast from it.
+template <typename T> class is_eigen_ref {
+private:
+    template<typename Derived> static typename std::enable_if<
+        std::is_same<typename std::remove_const<T>::type, Eigen::Ref<Derived>>::value,
+        Derived>::type test(const Eigen::Ref<Derived> &);
+    static void test(...);
+public:
+    typedef decltype(test(std::declval<T>())) Derived;
+    static constexpr bool value = !std::is_void<Derived>::value;
+};
+
 template <typename T> class is_eigen_sparse {
 private:
     template<typename Derived> static std::true_type test(const Eigen::SparseMatrixBase<Derived> &);
@@ -49,7 +62,7 @@ public:
 };
 
 template<typename Type>
-struct type_caster<Type, typename std::enable_if<is_eigen_dense<Type>::value>::type> {
+struct type_caster<Type, typename std::enable_if<is_eigen_dense<Type>::value && !is_eigen_ref<Type>::value>::type> {
     typedef typename Type::Scalar Scalar;
     static constexpr bool rowMajor = Type::Flags & Eigen::RowMajorBit;
     static constexpr bool isVector = Type::IsVectorAtCompileTime;
@@ -149,6 +162,26 @@ protected:
     static PYBIND11_DESCR cols() { return _<T::ColsAtCompileTime>(); }
 };
 
+template<typename Type>
+struct type_caster<Type, typename std::enable_if<is_eigen_dense<Type>::value && is_eigen_ref<Type>::value>::type> {
+private:
+    using Derived = typename std::remove_const<typename is_eigen_ref<Type>::Derived>::type;
+    using DerivedCaster = type_caster<Derived>;
+    DerivedCaster derived_caster;
+protected:
+    std::unique_ptr<Type> value;
+public:
+    bool load(handle src, bool convert) { if (derived_caster.load(src, convert)) { value.reset(new Type(derived_caster.operator Derived&())); return true; } return false; }
+    static handle cast(const Type &src, return_value_policy policy, handle parent) { return DerivedCaster::cast(src, policy, parent); }
+    static handle cast(const Type *src, return_value_policy policy, handle parent) { return DerivedCaster::cast(*src, policy, parent); }
+
+    static PYBIND11_DESCR name() { return DerivedCaster::name(); }
+
+    operator Type*() { return value.get(); }
+    operator Type&() { if (!value) pybind11_fail("Eigen::Ref<...> value not loaded"); return *value; }
+    template <typename _T> using cast_op_type = pybind11::detail::cast_op_type<_T>;
+};
+
 template<typename Type>
 struct type_caster<Type, typename std::enable_if<is_eigen_sparse<Type>::value>::type> {
     typedef typename Type::Scalar Scalar;