Ginkgo  Generated from pipelines/1330831941 branch based on master. Ginkgo version 1.8.0
A numerical linear algebra library targeting many-core architectures
fbcsr.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_MATRIX_FBCSR_HPP_
6 #define GKO_PUBLIC_CORE_MATRIX_FBCSR_HPP_
7 
8 
9 #include <ginkgo/core/base/array.hpp>
10 #include <ginkgo/core/base/lin_op.hpp>
11 #include <ginkgo/core/base/math.hpp>
12 
13 
14 namespace gko {
15 namespace matrix {
16 
17 
18 template <typename ValueType>
19 class Dense;
20 
21 template <typename ValueType, typename IndexType>
22 class Csr;
23 
24 template <typename ValueType, typename IndexType>
25 class SparsityCsr;
26 
27 template <typename ValueType, typename IndexType>
28 class Fbcsr;
29 
30 template <typename ValueType, typename IndexType>
32 
33 
34 namespace detail {
35 
36 
47 template <typename IndexType>
48 inline IndexType get_num_blocks(const int block_size, const IndexType size)
49 {
50  GKO_ASSERT_BLOCK_SIZE_CONFORMANT(size, block_size);
51  return size / block_size;
52 }
53 
54 
55 } // namespace detail
56 
57 
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>>,
101  public ConvertibleTo<Dense<ValueType>>,
102  public ConvertibleTo<Csr<ValueType, IndexType>>,
103  public ConvertibleTo<SparsityCsr<ValueType, IndexType>>,
104  public DiagonalExtractable<ValueType>,
105  public ReadableFromMatrixData<ValueType, IndexType>,
106  public WritableToMatrixData<ValueType, IndexType>,
107  public Transposable,
109  remove_complex<Fbcsr<ValueType, IndexType>>> {
110  friend class EnablePolymorphicObject<Fbcsr, LinOp>;
111  friend class Csr<ValueType, IndexType>;
112  friend class Dense<ValueType>;
113  friend class SparsityCsr<ValueType, IndexType>;
114  friend class FbcsrBuilder<ValueType, IndexType>;
115  friend class Fbcsr<to_complex<ValueType>, IndexType>;
116 
117 public:
118  using value_type = ValueType;
119  using index_type = IndexType;
120  using transposed_type = Fbcsr<ValueType, IndexType>;
121  using mat_data = matrix_data<ValueType, IndexType>;
122  using device_mat_data = device_matrix_data<ValueType, IndexType>;
123  using absolute_type = remove_complex<Fbcsr>;
124 
131 
136  using EnableLinOp<Fbcsr<ValueType, IndexType>>::convert_to;
137 
138  using ConvertibleTo<
139  Fbcsr<next_precision<ValueType>, IndexType>>::convert_to;
140  using ConvertibleTo<Fbcsr<next_precision<ValueType>, IndexType>>::move_to;
141  using ConvertibleTo<Dense<ValueType>>::convert_to;
142  using ConvertibleTo<Dense<ValueType>>::move_to;
143  using ConvertibleTo<Csr<ValueType, IndexType>>::convert_to;
147 
148  friend class Fbcsr<next_precision<ValueType>, IndexType>;
149 
150  void convert_to(
151  Fbcsr<next_precision<ValueType>, IndexType>* result) const override;
152 
153  void move_to(Fbcsr<next_precision<ValueType>, IndexType>* result) override;
154 
155  void convert_to(Dense<ValueType>* other) const override;
156 
157  void move_to(Dense<ValueType>* other) override;
158 
165  void convert_to(Csr<ValueType, IndexType>* result) const override;
166 
167  void move_to(Csr<ValueType, IndexType>* result) override;
168 
175  void convert_to(SparsityCsr<ValueType, IndexType>* result) const override;
176 
177  void move_to(SparsityCsr<ValueType, IndexType>* result) override;
178 
185  void read(const mat_data& data) override;
186 
187  void read(const device_mat_data& data) override;
188 
189  void read(device_mat_data&& data) override;
190 
191  void write(mat_data& data) const override;
192 
193  std::unique_ptr<LinOp> transpose() const override;
194 
195  std::unique_ptr<LinOp> conj_transpose() const override;
196 
197  std::unique_ptr<Diagonal<ValueType>> extract_diagonal() const override;
198 
199  std::unique_ptr<absolute_type> compute_absolute() const override;
200 
201  void compute_absolute_inplace() override;
202 
207  void sort_by_column_index();
208 
215  bool is_sorted_by_column_index() const;
216 
220  value_type* get_values() noexcept { return values_.get_data(); }
221 
229  const value_type* get_const_values() const noexcept
230  {
231  return values_.get_const_data();
232  }
233 
237  index_type* get_col_idxs() noexcept { return col_idxs_.get_data(); }
238 
246  const index_type* get_const_col_idxs() const noexcept
247  {
248  return col_idxs_.get_const_data();
249  }
250 
254  index_type* get_row_ptrs() noexcept { return row_ptrs_.get_data(); }
255 
263  const index_type* get_const_row_ptrs() const noexcept
264  {
265  return row_ptrs_.get_const_data();
266  }
267 
272  {
273  return values_.get_size();
274  }
275 
280  {
281  return col_idxs_.get_size();
282  }
283 
287  int get_block_size() const noexcept { return bs_; }
288 
292  index_type get_num_block_rows() const noexcept
293  {
294  return this->get_size()[0] / bs_;
295  }
296 
300  index_type get_num_block_cols() const noexcept
301  {
302  return this->get_size()[1] / bs_;
303  }
304 
314  static std::unique_ptr<Fbcsr> create(std::shared_ptr<const Executor> exec,
315  int block_size = 1);
316 
328  static std::unique_ptr<Fbcsr> create(std::shared_ptr<const Executor> exec,
329  const dim<2>& size,
330  size_type num_nonzeros,
331  int block_size);
332 
353  static std::unique_ptr<Fbcsr> create(std::shared_ptr<const Executor> exec,
354  const dim<2>& size, int block_size,
355  array<value_type> values,
356  array<index_type> col_idxs,
357  array<index_type> row_ptrs);
358 
364  template <typename InputValueType, typename InputColumnIndexType,
365  typename InputRowPtrType>
366  GKO_DEPRECATED(
367  "explicitly construct the gko::array argument instead of passing "
368  "initializer lists")
369  static std::unique_ptr<Fbcsr> create(
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)
374  {
375  return create(exec, size, block_size,
376  array<value_type>{exec, std::move(values)},
377  array<index_type>{exec, std::move(col_idxs)},
378  array<index_type>{exec, std::move(row_ptrs)});
379  }
380 
395  static std::unique_ptr<const Fbcsr> create_const(
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);
400 
405  Fbcsr& operator=(const Fbcsr&);
406 
412  Fbcsr& operator=(Fbcsr&&);
413 
417  Fbcsr(const Fbcsr&);
418 
424  Fbcsr(Fbcsr&&);
425 
426 protected:
427  Fbcsr(std::shared_ptr<const Executor> exec, int block_size = 1);
428 
429  Fbcsr(std::shared_ptr<const Executor> exec, const dim<2>& size,
430  size_type num_nonzeros, int block_size);
431 
432  Fbcsr(std::shared_ptr<const Executor> exec, const dim<2>& size,
433  int block_size, array<value_type> values, array<index_type> col_idxs,
434  array<index_type> row_ptrs);
435 
436  void apply_impl(const LinOp* b, LinOp* x) const override;
437 
438  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
439  LinOp* x) const override;
440 
441 private:
442  int bs_;
443  array<value_type> values_;
444  array<index_type> col_idxs_;
445  array<index_type> row_ptrs_;
446 };
447 
448 
449 } // namespace matrix
450 } // namespace gko
451 
452 
453 #endif // GKO_PUBLIC_CORE_MATRIX_FBCSR_HPP_
gko::matrix::Fbcsr
Fixed-block compressed sparse row storage matrix format.
Definition: csr.hpp:46
gko::matrix::Fbcsr::Fbcsr
Fbcsr(const Fbcsr &)
Copy-constructs an Ell matrix.
gko::matrix::Fbcsr::get_block_size
int get_block_size() const noexcept
Definition: fbcsr.hpp:287
gko::LinOp
Definition: lin_op.hpp:118
gko::matrix::Fbcsr::get_const_values
const value_type * get_const_values() const noexcept
Definition: fbcsr.hpp:229
gko::DiagonalExtractable
The diagonal of a LinOp implementing this interface can be extracted.
Definition: lin_op.hpp:744
gko::matrix::Fbcsr::extract_diagonal
std::unique_ptr< Diagonal< ValueType > > extract_diagonal() const override
Extracts the diagonal entries of the matrix into a vector.
gko::matrix::Fbcsr::get_num_stored_elements
size_type get_num_stored_elements() const noexcept
Definition: fbcsr.hpp:271
gko::Transposable
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:434
gko::size_type
std::size_t size_type
Integral type used for allocation quantities.
Definition: types.hpp:108
gko::matrix::Fbcsr::is_sorted_by_column_index
bool is_sorted_by_column_index() const
Tests if all row entry pairs (value, col_idx) are sorted by column index.
gko::matrix::Fbcsr::get_values
value_type * get_values() noexcept
Definition: fbcsr.hpp:220
gko::matrix::Fbcsr::get_row_ptrs
index_type * get_row_ptrs() noexcept
Definition: fbcsr.hpp:254
gko::matrix::Fbcsr::get_num_block_cols
index_type get_num_block_cols() const noexcept
Definition: fbcsr.hpp:300
gko
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
gko::matrix::Fbcsr::get_const_col_idxs
const index_type * get_const_col_idxs() const noexcept
Definition: fbcsr.hpp:246
gko::array< value_type >
gko::dim< 2 >
gko::matrix_data
This structure is used as an intermediate data type to store a sparse matrix.
Definition: matrix_data.hpp:127
gko::matrix::Fbcsr::sort_by_column_index
void sort_by_column_index()
Sorts the values blocks and block-column indices in each row by column index.
gko::next_precision
typename detail::next_precision_impl< T >::type next_precision
Obtains the next type in the singly-linked precision list.
Definition: math.hpp:462
gko::matrix::Fbcsr::get_const_row_ptrs
const index_type * get_const_row_ptrs() const noexcept
Definition: fbcsr.hpp:263
gko::array::get_data
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
gko::ReadableFromMatrixData
A LinOp implementing this interface can read its data from a matrix_data structure.
Definition: lin_op.hpp:606
gko::matrix::Fbcsr::conj_transpose
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
gko::WritableToMatrixData
A LinOp implementing this interface can write its data to a matrix_data structure.
Definition: lin_op.hpp:661
gko::matrix::Fbcsr::compute_absolute
std::unique_ptr< absolute_type > compute_absolute() const override
Gets the AbsoluteLinOp.
gko::matrix::Fbcsr::get_num_block_rows
index_type get_num_block_rows() const noexcept
Definition: fbcsr.hpp:292
gko::matrix::Fbcsr::create
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.
gko::matrix::Fbcsr::operator=
Fbcsr & operator=(const Fbcsr &)
Copy-assigns an Fbcsr matrix.
gko::matrix::Fbcsr::get_num_stored_blocks
size_type get_num_stored_blocks() const noexcept
Definition: fbcsr.hpp:279
gko::ConvertibleTo
ConvertibleTo interface is used to mark that the implementer can be converted to the object of Result...
Definition: polymorphic_object.hpp:471
gko::matrix::Fbcsr::get_col_idxs
index_type * get_col_idxs() noexcept
Definition: fbcsr.hpp:237
gko::Executor
The first step in using the Ginkgo library consists of creating an executor.
Definition: executor.hpp:616
gko::matrix::FbcsrBuilder
Definition: fbcsr.hpp:31
gko::array::get_const_data
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
gko::matrix::Fbcsr::compute_absolute_inplace
void compute_absolute_inplace() override
Compute absolute inplace on each element.
gko::EnableAbsoluteComputation
The EnableAbsoluteComputation mixin provides the default implementations of compute_absolute_linop an...
Definition: lin_op.hpp:795
gko::matrix::Fbcsr::create_const
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.
gko::array::get_size
size_type get_size() const noexcept
Returns the number of elements in the array.
Definition: array.hpp:657
gko::LinOp::get_size
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:211
gko::matrix::Fbcsr::write
void write(mat_data &data) const override
Writes a matrix to a matrix_data structure.
gko::matrix::Fbcsr::read
void read(const mat_data &data) override
Reads a matrix_data into Fbcsr format.
gko::remove_complex
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
gko::device_matrix_data
This type is a device-side equivalent to matrix_data.
Definition: device_matrix_data.hpp:36
gko::EnableLinOp
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition: lin_op.hpp:878
gko::matrix::Fbcsr::transpose
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
gko::to_complex
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
gko::EnablePolymorphicObject
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:662