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authorGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2008-04-03 11:10:17 +0000
committerGravatar Benoit Jacob <jacob.benoit.1@gmail.com>2008-04-03 11:10:17 +0000
commitd1a29d6319d6919e0c3d1c624ad45d8202be1942 (patch)
treeb9882a823c7d08819037d341f7e61971304eeadf /doc/examples/class_CwiseBinaryOp.cpp
parente74fbfb2bc13dee268950361a957aea73bcefc21 (diff)
-new: recursive costs system, useful to determine automatically
when to evaluate arguments and when to meta-unroll. -use it in Product to determine when to eval args. not yet used to determine when to unroll. for now, not used anywhere else but that'll follow. -fix badness of my last commit
Diffstat (limited to 'doc/examples/class_CwiseBinaryOp.cpp')
-rw-r--r--doc/examples/class_CwiseBinaryOp.cpp15
1 files changed, 9 insertions, 6 deletions
diff --git a/doc/examples/class_CwiseBinaryOp.cpp b/doc/examples/class_CwiseBinaryOp.cpp
index 8e4c5361e..b91abd1ef 100644
--- a/doc/examples/class_CwiseBinaryOp.cpp
+++ b/doc/examples/class_CwiseBinaryOp.cpp
@@ -1,26 +1,29 @@
+// FIXME - this example is not too good as that functionality is provided in the Eigen API
+// additionally it's quite heavy. the CwiseUnaryOp example is better.
+
#include <Eigen/Core>
USING_PART_OF_NAMESPACE_EIGEN
using namespace std;
// define a custom template binary functor
-struct CwiseMinOp EIGEN_EMPTY_STRUCT {
- template<typename Scalar>
+template<typename Scalar> struct CwiseMinOp EIGEN_EMPTY_STRUCT {
Scalar operator()(const Scalar& a, const Scalar& b) const { return std::min(a,b); }
+ enum { Cost = Eigen::ConditionalJumpCost + Eigen::NumTraits<Scalar>::AddCost };
};
// define a custom binary operator between two matrices
template<typename Derived1, typename Derived2>
-const Eigen::CwiseBinaryOp<CwiseMinOp, Derived1, Derived2>
+const Eigen::CwiseBinaryOp<CwiseMinOp<typename Derived1::Scalar>, Derived1, Derived2>
cwiseMin(const MatrixBase<Derived1> &mat1, const MatrixBase<Derived2> &mat2)
{
- return Eigen::CwiseBinaryOp<CwiseMinOp, Derived1, Derived2>(mat1, mat2);
+ return Eigen::CwiseBinaryOp<CwiseMinOp<typename Derived1::Scalar>, Derived1, Derived2>(mat1, mat2);
}
int main(int, char**)
{
Matrix4d m1 = Matrix4d::random(), m2 = Matrix4d::random();
cout << cwiseMin(m1,m2) << endl; // use our new global operator
- cout << m1.cwise<CwiseMinOp>(m2) << endl; // directly use the generic expression member
- cout << m1.cwise(m2, CwiseMinOp()) << endl; // directly use the generic expression member (variant)
+ cout << m1.cwise<CwiseMinOp<double> >(m2) << endl; // directly use the generic expression member
+ cout << m1.cwise(m2, CwiseMinOp<double>()) << endl; // directly use the generic expression member (variant)
return 0;
}