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TRIQS/nda 2.0.0
Multi-dimensional array library for C++
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#include "./interface/cutensor_interface.hpp"#include "./interface/tblis_interface.hpp"#include "./tools.hpp"#include "../mem/address_space.hpp"#include "../traits.hpp"#include <string_view>#include <utility>Provides a generic tensor addition with cuTENSOR/TBLIS/nda dispatch.
Definition in file add.hpp.
Go to the source code of this file.
Functions | |
| template<BlasArrayOrConj A, BlasArrayFor< A > B> | |
| void | nda::tensor::add (A const &a, B &&b) |
| Convenience overload of nda::tensor::add with nda::tensor::default_index strings, \( \alpha = 1 \) and \( \beta = 0 \). | |
| template<BlasArrayOrConj A, BlasArrayFor< A > B> | |
| void | nda::tensor::add (A const &a, std::string_view idx_a, B &&b, std::string_view idx_b) |
| Convenience overload of nda::tensor::add with \( \alpha = 1 \) and \( \beta = 0 \). | |
| template<BlasArrayOrConj A, BlasArrayOrConjFor< A > B, BlasArrayFor< A > C> | |
| void | nda::tensor::add (A const &a, std::string_view idx_a, B const &b, std::string_view idx_b, C &&c, std::string_view idx_c) |
| Convenience overload of out-of-place nda::tensor::add with \( \alpha = 1 \) and \( \beta = 1 \). | |
| template<BlasArrayOrConj A, BlasArrayFor< A > B> | |
| void | nda::tensor::add (get_value_t< A > alpha, A const &a, get_value_t< A > beta, B &&b) |
| Convenience overload of nda::tensor::add with nda::tensor::default_index strings. | |
| template<BlasArrayOrConj A, BlasArrayFor< A > B> | |
| void | nda::tensor::add (get_value_t< A > alpha, A const &a, std::string_view idx_a, get_value_t< A > beta, B &&b, std::string_view idx_b) |
| Tensor addition with cuTENSOR/TBLIS/nda dispatch. | |
| template<BlasArrayOrConj A, BlasArrayOrConjFor< A > B, BlasArrayFor< A > C> | |
| void | nda::tensor::add (get_value_t< A > alpha, A const &a, std::string_view idx_a, get_value_t< A > beta, B const &b, std::string_view idx_b, C &&c, std::string_view idx_c) |
| Out-of-place tensor addition with cuTENSOR/TBLIS/nda dispatch. | |