coo.hpp

// SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
//
// SPDX-License-Identifier: BSD-3-Clause
 
#ifndef GKO_PUBLIC_CORE_MATRIX_COO_HPP_
#define GKO_PUBLIC_CORE_MATRIX_COO_HPP_
 
 
#include <ginkgo/core/base/array.hpp>
#include <ginkgo/core/base/lin_op.hpp>
 
 
namespace gko {
namespace matrix {
 
 
template <typename ValueType, typename IndexType>
class Csr;
 
template <typename ValueType>
class Dense;
 
template <typename ValueType, typename IndexType>
class CooBuilder;
 
template <typename ValueType, typename IndexType>
class Hybrid;
 
 
template <typename ValueType = default_precision, typename IndexType = int32>
class Coo : public EnableLinOp<Coo<ValueType, IndexType>>,
            public ConvertibleTo<Coo<next_precision<ValueType>, IndexType>>,
            public ConvertibleTo<Csr<ValueType, IndexType>>,
            public ConvertibleTo<Dense<ValueType>>,
            public DiagonalExtractable<ValueType>,
            public ReadableFromMatrixData<ValueType, IndexType>,
            public WritableToMatrixData<ValueType, IndexType>,
            public EnableAbsoluteComputation<
                remove_complex<Coo<ValueType, IndexType>>> {
    friend class EnablePolymorphicObject<Coo, LinOp>;
    friend class Csr<ValueType, IndexType>;
    friend class Dense<ValueType>;
    friend class CooBuilder<ValueType, IndexType>;
    friend class Coo<to_complex<ValueType>, IndexType>;
    friend class Hybrid<ValueType, IndexType>;
 
public:
    using EnableLinOp<Coo>::convert_to;
    using EnableLinOp<Coo>::move_to;
    using ConvertibleTo<Coo<next_precision<ValueType>, IndexType>>::convert_to;
    using ConvertibleTo<Coo<next_precision<ValueType>, IndexType>>::move_to;
    using ConvertibleTo<Csr<ValueType, IndexType>>::convert_to;
    using ConvertibleTo<Csr<ValueType, IndexType>>::move_to;
    using ConvertibleTo<Dense<ValueType>>::convert_to;
    using ConvertibleTo<Dense<ValueType>>::move_to;
    using ReadableFromMatrixData<ValueType, IndexType>::read;
 
    using value_type = ValueType;
    using index_type = IndexType;
    using mat_data = matrix_data<ValueType, IndexType>;
    using device_mat_data = device_matrix_data<ValueType, IndexType>;
    using absolute_type = remove_complex<Coo>;
 
    friend class Coo<next_precision<ValueType>, IndexType>;
 
    void convert_to(
        Coo<next_precision<ValueType>, IndexType>* result) const override;
 
    void move_to(Coo<next_precision<ValueType>, IndexType>* result) override;
 
    void convert_to(Csr<ValueType, IndexType>* other) const override;
 
    void move_to(Csr<ValueType, IndexType>* other) override;
 
    void convert_to(Dense<ValueType>* other) const override;
 
    void move_to(Dense<ValueType>* other) override;
 
    void read(const mat_data& data) override;
 
    void read(const device_mat_data& data) override;
 
    void read(device_mat_data&& data) override;
 
    void write(mat_data& data) const override;
 
    std::unique_ptr<Diagonal<ValueType>> extract_diagonal() const override;
 
    std::unique_ptr<absolute_type> compute_absolute() const override;
 
    void compute_absolute_inplace() override;
 
    value_type* get_values() noexcept { return values_.get_data(); }
 
    const value_type* get_const_values() const noexcept
    {
        return values_.get_const_data();
    }
 
    index_type* get_col_idxs() noexcept { return col_idxs_.get_data(); }
 
    const index_type* get_const_col_idxs() const noexcept
    {
        return col_idxs_.get_const_data();
    }
 
    index_type* get_row_idxs() noexcept { return row_idxs_.get_data(); }
 
    const index_type* get_const_row_idxs() const noexcept
    {
        return row_idxs_.get_const_data();
    }
 
    size_type get_num_stored_elements() const noexcept
    {
        return values_.get_size();
    }
 
    LinOp* apply2(ptr_param<const LinOp> b, ptr_param<LinOp> x);
 
    const LinOp* apply2(ptr_param<const LinOp> b, ptr_param<LinOp> x) const;
 
    LinOp* apply2(ptr_param<const LinOp> alpha, ptr_param<const LinOp> b,
                  ptr_param<LinOp> x);
 
    const LinOp* apply2(ptr_param<const LinOp> alpha, ptr_param<const LinOp> b,
                        ptr_param<LinOp> x) const;
 
    static std::unique_ptr<Coo> create(std::shared_ptr<const Executor> exec,
                                       const dim<2>& size = dim<2>{},
                                       size_type num_nonzeros = {});
 
    static std::unique_ptr<Coo> create(std::shared_ptr<const Executor> exec,
                                       const dim<2>& size,
                                       array<value_type> values,
                                       array<index_type> col_idxs,
                                       array<index_type> row_idxs);
 
    template <typename InputValueType, typename InputColumnIndexType,
              typename InputRowIndexType>
    GKO_DEPRECATED(
        "explicitly construct the gko::array argument instead of passing "
        "initializer lists")
    static std::unique_ptr<Coo> create(
        std::shared_ptr<const Executor> exec, const dim<2>& size,
        std::initializer_list<InputValueType> values,
        std::initializer_list<InputColumnIndexType> col_idxs,
        std::initializer_list<InputRowIndexType> row_idxs)
    {
        return create(exec, size, array<value_type>{exec, std::move(values)},
                      array<index_type>{exec, std::move(col_idxs)},
                      array<index_type>{exec, std::move(row_idxs)});
    }
 
    static std::unique_ptr<const Coo> create_const(
        std::shared_ptr<const Executor> exec, const dim<2>& size,
        gko::detail::const_array_view<ValueType>&& values,
        gko::detail::const_array_view<IndexType>&& col_idxs,
        gko::detail::const_array_view<IndexType>&& row_idxs);
 
protected:
    Coo(std::shared_ptr<const Executor> exec, const dim<2>& size = dim<2>{},
        size_type num_nonzeros = {});
 
    Coo(std::shared_ptr<const Executor> exec, const dim<2>& size,
        array<value_type> values, array<index_type> col_idxs,
        array<index_type> row_idxs);
 
    void resize(dim<2> new_size, size_type nnz);
 
    void apply_impl(const LinOp* b, LinOp* x) const override;
 
    void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
                    LinOp* x) const override;
 
    void apply2_impl(const LinOp* b, LinOp* x) const;
 
    void apply2_impl(const LinOp* alpha, const LinOp* b, LinOp* x) const;
 
private:
    array<value_type> values_;
    array<index_type> col_idxs_;
    array<index_type> row_idxs_;
};
 
 
}  // namespace matrix
}  // namespace gko
 
 
#endif  // GKO_PUBLIC_CORE_MATRIX_COO_HPP_