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Ginkgo
Generated from pipelines/1330831941 branch based on master. Ginkgo version 1.8.0
A numerical linear algebra library targeting many-core architectures
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5 #ifndef GKO_PUBLIC_CORE_MATRIX_FBCSR_HPP_
6 #define GKO_PUBLIC_CORE_MATRIX_FBCSR_HPP_
9 #include <ginkgo/core/base/array.hpp>
10 #include <ginkgo/core/base/lin_op.hpp>
11 #include <ginkgo/core/base/math.hpp>
18 template <
typename ValueType>
21 template <
typename ValueType,
typename IndexType>
24 template <
typename ValueType,
typename IndexType>
27 template <
typename ValueType,
typename IndexType>
30 template <
typename ValueType,
typename IndexType>
47 template <
typename IndexType>
48 inline IndexType get_num_blocks(
const int block_size,
const IndexType size)
50 GKO_ASSERT_BLOCK_SIZE_CONFORMANT(size, block_size);
51 return size / block_size;
98 template <
typename ValueType = default_precision,
typename IndexType =
int32>
99 class Fbcsr :
public EnableLinOp<Fbcsr<ValueType, IndexType>>,
100 public ConvertibleTo<Fbcsr<next_precision<ValueType>, IndexType>>,
109 remove_complex<Fbcsr<ValueType, IndexType>>> {
111 friend class Csr<ValueType, IndexType>;
112 friend class Dense<ValueType>;
113 friend class SparsityCsr<ValueType, IndexType>;
114 friend class FbcsrBuilder<ValueType, IndexType>;
118 using value_type = ValueType;
119 using index_type = IndexType;
120 using transposed_type = Fbcsr<ValueType, IndexType>;
139 Fbcsr<next_precision<ValueType>, IndexType>>::convert_to;
155 void convert_to(Dense<ValueType>* other)
const override;
157 void move_to(Dense<ValueType>* other)
override;
165 void convert_to(Csr<ValueType, IndexType>* result)
const override;
167 void move_to(Csr<ValueType, IndexType>* result)
override;
175 void convert_to(SparsityCsr<ValueType, IndexType>* result)
const override;
177 void move_to(SparsityCsr<ValueType, IndexType>* result)
override;
185 void read(
const mat_data& data)
override;
187 void read(
const device_mat_data& data)
override;
189 void read(device_mat_data&& data)
override;
191 void write(mat_data& data)
const override;
193 std::unique_ptr<LinOp>
transpose()
const override;
314 static std::unique_ptr<Fbcsr>
create(std::shared_ptr<const Executor> exec,
328 static std::unique_ptr<Fbcsr>
create(std::shared_ptr<const Executor> exec,
353 static std::unique_ptr<Fbcsr>
create(std::shared_ptr<const Executor> exec,
354 const dim<2>& size,
int block_size,
364 template <
typename InputValueType,
typename InputColumnIndexType,
365 typename InputRowPtrType>
367 "explicitly construct the gko::array argument instead of passing "
370 std::shared_ptr<const
Executor> exec, const
dim<2>& size,
371 int block_size, std::initializer_list<InputValueType> values,
372 std::initializer_list<InputColumnIndexType> col_idxs,
373 std::initializer_list<InputRowPtrType> row_ptrs)
375 return create(exec, size, block_size,
396 std::shared_ptr<const Executor> exec,
const dim<2>& size,
int blocksize,
397 gko::detail::const_array_view<ValueType>&& values,
398 gko::detail::const_array_view<IndexType>&& col_idxs,
399 gko::detail::const_array_view<IndexType>&& row_ptrs);
427 Fbcsr(std::shared_ptr<const Executor> exec,
int block_size = 1);
429 Fbcsr(std::shared_ptr<const Executor> exec,
const dim<2>& size,
432 Fbcsr(std::shared_ptr<const Executor> exec,
const dim<2>& size,
436 void apply_impl(
const LinOp* b,
LinOp* x)
const override;
439 LinOp* x)
const override;
453 #endif // GKO_PUBLIC_CORE_MATRIX_FBCSR_HPP_
Fixed-block compressed sparse row storage matrix format.
Definition: csr.hpp:46
Fbcsr(const Fbcsr &)
Copy-constructs an Ell matrix.
int get_block_size() const noexcept
Definition: fbcsr.hpp:287
Definition: lin_op.hpp:118
const value_type * get_const_values() const noexcept
Definition: fbcsr.hpp:229
std::unique_ptr< Diagonal< ValueType > > extract_diagonal() const override
Extracts the diagonal entries of the matrix into a vector.
size_type get_num_stored_elements() const noexcept
Definition: fbcsr.hpp:271
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:434
std::size_t size_type
Integral type used for allocation quantities.
Definition: types.hpp:108
bool is_sorted_by_column_index() const
Tests if all row entry pairs (value, col_idx) are sorted by column index.
value_type * get_values() noexcept
Definition: fbcsr.hpp:220
index_type * get_row_ptrs() noexcept
Definition: fbcsr.hpp:254
index_type get_num_block_cols() const noexcept
Definition: fbcsr.hpp:300
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
const index_type * get_const_col_idxs() const noexcept
Definition: fbcsr.hpp:246
This structure is used as an intermediate data type to store a sparse matrix.
Definition: matrix_data.hpp:127
void sort_by_column_index()
Sorts the values blocks and block-column indices in each row by column index.
typename detail::next_precision_impl< T >::type next_precision
Obtains the next type in the singly-linked precision list.
Definition: math.hpp:462
const index_type * get_const_row_ptrs() const noexcept
Definition: fbcsr.hpp:263
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
A LinOp implementing this interface can read its data from a matrix_data structure.
Definition: lin_op.hpp:606
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
A LinOp implementing this interface can write its data to a matrix_data structure.
Definition: lin_op.hpp:661
std::unique_ptr< absolute_type > compute_absolute() const override
Gets the AbsoluteLinOp.
index_type get_num_block_rows() const noexcept
Definition: fbcsr.hpp:292
static std::unique_ptr< Fbcsr > create(std::shared_ptr< const Executor > exec, int block_size=1)
Creates an uninitialized FBCSR matrix with the given block size.
Fbcsr & operator=(const Fbcsr &)
Copy-assigns an Fbcsr matrix.
size_type get_num_stored_blocks() const noexcept
Definition: fbcsr.hpp:279
ConvertibleTo interface is used to mark that the implementer can be converted to the object of Result...
Definition: polymorphic_object.hpp:471
index_type * get_col_idxs() noexcept
Definition: fbcsr.hpp:237
The first step in using the Ginkgo library consists of creating an executor.
Definition: executor.hpp:616
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
void compute_absolute_inplace() override
Compute absolute inplace on each element.
The EnableAbsoluteComputation mixin provides the default implementations of compute_absolute_linop an...
Definition: lin_op.hpp:795
static std::unique_ptr< const Fbcsr > create_const(std::shared_ptr< const Executor > exec, const dim< 2 > &size, int blocksize, gko::detail::const_array_view< ValueType > &&values, gko::detail::const_array_view< IndexType > &&col_idxs, gko::detail::const_array_view< IndexType > &&row_ptrs)
Creates a constant (immutable) Fbcsr matrix from a constant array.
size_type get_size() const noexcept
Returns the number of elements in the array.
Definition: array.hpp:657
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:211
void write(mat_data &data) const override
Writes a matrix to a matrix_data structure.
void read(const mat_data &data) override
Reads a matrix_data into Fbcsr format.
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
This type is a device-side equivalent to matrix_data.
Definition: device_matrix_data.hpp:36
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition: lin_op.hpp:878
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
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
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:662