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* Started support for unaligned vectorization.
* Introduce a new highly optimized matrix-matrix product for large matrices. The code is still highly experimental and it is activated only if you define EIGEN_WIP_PRODUCT at compile time. Currently the third dimension of the product must be a factor of the packet size (x4 for floats) and the right handed side matrix must be column major. Moreover, currently c = a*b; actually computes c += a*b !! Therefore, the code is provided for experimentation purpose only ! These limitations will be fixed soon or later to become the default product implementation.
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@@ -71,9 +71,10 @@ template<typename ExpressionType> class Temporary
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return m_expression.coeff(row, col);
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}
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template<int LoadMode>
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PacketScalar _packetCoeff(int row, int col) const
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{
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return m_expression.packetCoeff(row, col);
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return m_expression.template packetCoeff<LoadMode>(row, col);
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}
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protected:
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