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d1a29d6319
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
30 lines
1.3 KiB
C++
30 lines
1.3 KiB
C++
// FIXME - this example is not too good as that functionality is provided in the Eigen API
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// additionally it's quite heavy. the CwiseUnaryOp example is better.
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#include <Eigen/Core>
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USING_PART_OF_NAMESPACE_EIGEN
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using namespace std;
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// define a custom template binary functor
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template<typename Scalar> struct CwiseMinOp EIGEN_EMPTY_STRUCT {
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Scalar operator()(const Scalar& a, const Scalar& b) const { return std::min(a,b); }
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enum { Cost = Eigen::ConditionalJumpCost + Eigen::NumTraits<Scalar>::AddCost };
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};
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// define a custom binary operator between two matrices
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template<typename Derived1, typename Derived2>
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const Eigen::CwiseBinaryOp<CwiseMinOp<typename Derived1::Scalar>, Derived1, Derived2>
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cwiseMin(const MatrixBase<Derived1> &mat1, const MatrixBase<Derived2> &mat2)
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{
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return Eigen::CwiseBinaryOp<CwiseMinOp<typename Derived1::Scalar>, Derived1, Derived2>(mat1, mat2);
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}
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int main(int, char**)
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{
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Matrix4d m1 = Matrix4d::random(), m2 = Matrix4d::random();
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cout << cwiseMin(m1,m2) << endl; // use our new global operator
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cout << m1.cwise<CwiseMinOp<double> >(m2) << endl; // directly use the generic expression member
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cout << m1.cwise(m2, CwiseMinOp<double>()) << endl; // directly use the generic expression member (variant)
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return 0;
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}
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