prodD() [1/6]

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

CudaDenseTensor< frank+srank - 2 *summed, Scalar > syten::CudaDenseTensorImpl::prodD ( CudaDenseTensor< frank, Scalar > const &  a, CudaDenseTensor< 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

Product/Contraction of two dense CUDA tensors.

Remarks

Special cases of one-times-one products or one-times-many products might be helpful to implement.

References std::array< T >::begin(), syten::DenseProduct::check_dense_dims(), conj(), syten::CudaDenseTensorImpl::CudaDenseTensor< rank, Scalar >::dim(), syten::CudaDenseTensorImpl::CudaDenseTensor< rank, Scalar >::dims, std::array< T >::end(), std::fill(), syten::CudaDenseTensorImpl::CudaDenseTensor< rank, Scalar >::get_device(), syten::CudaDenseTensorImpl::CudaDenseTensor< rank, Scalar >::getDims(), syten::DenseProduct::is_trivial_order_a(), syten::DenseProduct::is_trivial_order_b(), SYTEN_ASSERT_MSG, and syten::DenseProduct::validateProductSpecifier().

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