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Enable Mx0 * 0xN matrix product.
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@ -90,6 +90,7 @@ struct traits<CoeffBasedProduct<LhsNested,RhsNested,NestingFlags> >
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| (SameType && (CanVectorizeLhs || CanVectorizeRhs) ? PacketAccessBit : 0),
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CoeffReadCost = InnerSize == Dynamic ? Dynamic
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: InnerSize == 0 ? 0
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: InnerSize * (NumTraits<Scalar>::MulCost + LhsCoeffReadCost + RhsCoeffReadCost)
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+ (InnerSize - 1) * NumTraits<Scalar>::AddCost,
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@ -133,7 +134,7 @@ class CoeffBasedProduct
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};
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typedef internal::product_coeff_impl<CanVectorizeInner ? InnerVectorizedTraversal : DefaultTraversal,
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Unroll ? InnerSize-1 : Dynamic,
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Unroll ? (InnerSize==0 ? 0 : InnerSize-1) : Dynamic,
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_LhsNested, _RhsNested, Scalar> ScalarCoeffImpl;
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typedef CoeffBasedProduct<LhsNested,RhsNested,NestByRefBit> LazyCoeffBasedProductType;
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@ -262,10 +263,7 @@ struct product_coeff_impl<DefaultTraversal, Dynamic, Lhs, Rhs, RetScalar>
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typedef typename Lhs::Index Index;
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static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, RetScalar& res)
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{
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eigen_assert(lhs.cols()>0 && "you are using a non initialized matrix");
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res = lhs.coeff(row, 0) * rhs.coeff(0, col);
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for(Index i = 1; i < lhs.cols(); ++i)
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res += lhs.coeff(row, i) * rhs.coeff(i, col);
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res = (lhs.row(row).transpose().cwiseProduct( rhs.col(col) )).sum();
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}
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};
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