prodD() [1/5]

template<Rank summed, Rank frank, Rank srank, typename Scalar , std::enable_if_t<(int(frank)+int(srank) - 2 *int(summed) > 0), int > = 0>

GenericDenseTensor<frank + srank - 2 * summed, Scalar> syten::IdentityDenseTensorImpl::prodD ( CudaDenseTensor< frank, Scalar > const &  a, IdentityDenseTensor< srank, Scalar > const &  b, std::array< int, frank > const &  c_a, std::array< int, srank > const &  c_b, bool  conjugate = false, EliminateZeros const  ezeros = EliminateZeros::No, DenseProduct::TemporaryTransposeStorage< Scalar, frank, srank > *  = nullptr  )

inline

Overload for product of an identity dense tensor and a cuda dense tensor.

Againg rank-3 identities are taken care of by merge and split and others are casted into a DenseTensor and then loaded onto the GPU.

References syten::Cuda::copy(), if_constexpr, merge(), and split().

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