5#ifndef GKO_PUBLIC_CORE_MATRIX_DIAGONAL_HPP_
6#define GKO_PUBLIC_CORE_MATRIX_DIAGONAL_HPP_
9#include <ginkgo/core/base/array.hpp>
10#include <ginkgo/core/base/lin_op.hpp>
17template <
typename ValueType,
typename IndexType>
20template <
typename ValueType>
39template <
typename ValueType = default_precision>
66 using value_type = ValueType;
67 using index_type =
int64;
124 GKO_ASSERT_REVERSE_CONFORMANT(
this, b);
125 GKO_ASSERT_EQUAL_ROWS(b, x);
126 GKO_ASSERT_EQUAL_COLS(
this, x);
128 this->rapply_impl(b.
get(), x.
get());
142 GKO_ASSERT_CONFORMANT(
this, b);
143 GKO_ASSERT_EQUAL_ROWS(b, x);
144 GKO_ASSERT_EQUAL_ROWS(
this, x);
146 this->inverse_apply_impl(b.
get(), x.
get());
149 void read(
const mat_data& data)
override;
151 void read(
const mat_data32& data)
override;
153 void read(
const device_mat_data& data)
override;
155 void read(
const device_mat_data32& data)
override;
157 void read(device_mat_data&& data)
override;
159 void read(device_mat_data32&& data)
override;
161 void write(mat_data& data)
const override;
163 void write(mat_data32& data)
const override;
174 std::shared_ptr<const Executor> exec,
size_type size = 0);
191 std::shared_ptr<const Executor> exec,
const size_type size,
198 template <
typename InputValueType>
200 "explicitly construct the gko::array argument instead of passing an"
204 std::initializer_list<InputValueType> values)
220 std::shared_ptr<const Executor> exec,
size_type size,
221 gko::detail::const_array_view<ValueType>&& values);
229 void apply_impl(
const LinOp* b,
LinOp* x)
const override;
232 LinOp* x)
const override;
234 void rapply_impl(
const LinOp* b,
LinOp* x)
const;
236 void inverse_apply_impl(
const LinOp* b,
LinOp* x)
const;
ConvertibleTo interface is used to mark that the implementer can be converted to the object of Result...
Definition polymorphic_object.hpp:471
The EnableAbsoluteComputation mixin provides the default implementations of compute_absolute_linop an...
Definition lin_op.hpp:795
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition lin_op.hpp:880
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition polymorphic_object.hpp:663
The first step in using the Ginkgo library consists of creating an executor.
Definition executor.hpp:616
Definition lin_op.hpp:118
A LinOp implementing this interface can read its data from a matrix_data structure.
Definition lin_op.hpp:606
Linear operators which support transposition should implement the Transposable interface.
Definition lin_op.hpp:434
A LinOp implementing this interface can write its data to a matrix_data structure.
Definition lin_op.hpp:661
An array is a container which encapsulates fixed-sized arrays, stored on the Executor tied to the arr...
Definition logger.hpp:25
value_type * get_data() noexcept
Returns a pointer to the block of memory used to store the elements of the array.
Definition array.hpp:674
const value_type * get_const_data() const noexcept
Returns a constant pointer to the block of memory used to store the elements of the array.
Definition array.hpp:683
This type is a device-side equivalent to matrix_data.
Definition device_matrix_data.hpp:36
CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...
Definition sparsity_csr.hpp:22
This class is a utility which efficiently implements the diagonal matrix (a linear operator which sca...
Definition diagonal.hpp:50
static std::unique_ptr< const Diagonal > create_const(std::shared_ptr< const Executor > exec, size_type size, gko::detail::const_array_view< ValueType > &&values)
Creates a constant (immutable) Diagonal matrix from a constant array.
void rapply(ptr_param< const LinOp > b, ptr_param< LinOp > x) const
Applies the diagonal matrix from the right side to a matrix b, which means scales the columns of b wi...
Definition diagonal.hpp:122
static std::unique_ptr< Diagonal > create(std::shared_ptr< const Executor > exec, size_type size=0)
Creates an Diagonal matrix of the specified size.
void inverse_apply(ptr_param< const LinOp > b, ptr_param< LinOp > x) const
Applies the inverse of the diagonal matrix to a matrix b, which means scales the columns of b with th...
Definition diagonal.hpp:140
value_type * get_values() noexcept
Returns a pointer to the array of values of the matrix.
Definition diagonal.hpp:101
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
static std::unique_ptr< Diagonal > create(std::shared_ptr< const Executor > exec, const size_type size, array< value_type > values)
Creates a Diagonal matrix from an already allocated (and initialized) array.
std::unique_ptr< absolute_type > compute_absolute() const override
Gets the AbsoluteLinOp.
const value_type * get_const_values() const noexcept
Returns a pointer to the array of values of the matrix.
Definition diagonal.hpp:110
void compute_absolute_inplace() override
Compute absolute inplace on each element.
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
This class is used for function parameters in the place of raw pointers.
Definition utils_helper.hpp:43
T * get() const
Definition utils_helper.hpp:77
The Ginkgo namespace.
Definition abstract_factory.hpp:20
typename detail::remove_complex_s< T >::type remove_complex
Obtain the type which removed the complex of complex/scalar type or the template parameter of class b...
Definition math.hpp:326
std::int32_t int32
32-bit signed integral type.
Definition types.hpp:103
typename detail::next_precision_impl< T >::type next_precision
Obtains the next type in the singly-linked precision list.
Definition math.hpp:462
typename detail::to_complex_s< T >::type to_complex
Obtain the type which adds the complex of complex/scalar type or the template parameter of class by a...
Definition math.hpp:345
std::int64_t int64
64-bit signed integral type.
Definition types.hpp:109
std::size_t size_type
Integral type used for allocation quantities.
Definition types.hpp:86
This structure is used as an intermediate data type to store a sparse matrix.
Definition matrix_data.hpp:127