Ginkgo  Generated from pipelines/1330831941 branch based on master. Ginkgo version 1.8.0
A numerical linear algebra library targeting many-core architectures
batch_csr.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_MATRIX_BATCH_CSR_HPP_
6 #define GKO_PUBLIC_CORE_MATRIX_BATCH_CSR_HPP_
7 
8 
9 #include <initializer_list>
10 #include <vector>
11 
12 
13 #include <ginkgo/core/base/array.hpp>
14 #include <ginkgo/core/base/batch_lin_op.hpp>
15 #include <ginkgo/core/base/batch_multi_vector.hpp>
16 #include <ginkgo/core/base/executor.hpp>
17 #include <ginkgo/core/base/mtx_io.hpp>
18 #include <ginkgo/core/base/types.hpp>
19 #include <ginkgo/core/base/utils.hpp>
20 #include <ginkgo/core/matrix/csr.hpp>
21 
22 
23 namespace gko {
24 namespace batch {
25 namespace matrix {
26 
27 
47 template <typename ValueType = default_precision, typename IndexType = int32>
48 class Csr final
49  : public EnableBatchLinOp<Csr<ValueType, IndexType>>,
50  public ConvertibleTo<Csr<next_precision<ValueType>, IndexType>> {
51  friend class EnablePolymorphicObject<Csr, BatchLinOp>;
52  friend class Csr<to_complex<ValueType>, IndexType>;
53  friend class Csr<next_precision<ValueType>, IndexType>;
54  static_assert(std::is_same<IndexType, int32>::value,
55  "IndexType must be a 32 bit integer");
56 
57 public:
60 
61  using value_type = ValueType;
62  using index_type = IndexType;
64  using absolute_type = remove_complex<Csr>;
65  using complex_type = to_complex<Csr>;
66 
67  void convert_to(
68  Csr<next_precision<ValueType>, IndexType>* result) const override;
69 
70  void move_to(Csr<next_precision<ValueType>, IndexType>* result) override;
71 
82  std::unique_ptr<unbatch_type> create_view_for_item(size_type item_id);
83 
87  std::unique_ptr<const unbatch_type> create_const_view_for_item(
88  size_type item_id) const;
89 
95  value_type* get_values() noexcept { return values_.get_data(); }
96 
104  const value_type* get_const_values() const noexcept
105  {
106  return values_.get_const_data();
107  }
108 
114  index_type* get_col_idxs() noexcept { return col_idxs_.get_data(); }
115 
123  const index_type* get_const_col_idxs() const noexcept
124  {
125  return col_idxs_.get_const_data();
126  }
127 
133  index_type* get_row_ptrs() noexcept { return row_ptrs_.get_data(); }
134 
142  const index_type* get_const_row_ptrs() const noexcept
143  {
144  return row_ptrs_.get_const_data();
145  }
146 
155  {
156  return values_.get_size();
157  }
158 
165  {
166  return this->get_num_stored_elements() / this->get_num_batch_items();
167  }
168 
177  value_type* get_values_for_item(size_type batch_id) noexcept
178  {
179  GKO_ASSERT(batch_id < this->get_num_batch_items());
180  GKO_ASSERT(values_.get_size() >=
181  batch_id * this->get_num_elements_per_item());
182  return values_.get_data() +
183  batch_id * this->get_num_elements_per_item();
184  }
185 
193  const value_type* get_const_values_for_item(
194  size_type batch_id) const noexcept
195  {
196  GKO_ASSERT(batch_id < this->get_num_batch_items());
197  GKO_ASSERT(values_.get_size() >=
198  batch_id * this->get_num_elements_per_item());
199  return values_.get_const_data() +
200  batch_id * this->get_num_elements_per_item();
201  }
202 
218  static std::unique_ptr<Csr> create(
219  std::shared_ptr<const Executor> exec,
220  const batch_dim<2>& size = batch_dim<2>{},
221  size_type num_nonzeros_per_item = {});
222 
239  static std::unique_ptr<Csr> create(std::shared_ptr<const Executor> exec,
240  const batch_dim<2>& size,
241  array<value_type> values,
242  array<index_type> col_idxs,
243  array<index_type> row_ptrs);
244 
250  template <typename InputValueType, typename ColIndexType,
251  typename RowPtrType>
252  GKO_DEPRECATED(
253  "explicitly construct the gko::array arguments instead of passing "
254  "initializer lists")
255  static std::unique_ptr<Csr> create(
256  std::shared_ptr<const Executor> exec, const batch_dim<2>& size,
257  std::initializer_list<InputValueType> values,
258  std::initializer_list<ColIndexType> col_idxs,
259  std::initializer_list<RowPtrType> row_ptrs)
260  {
261  return create(exec, size, array<value_type>{exec, std::move(values)},
262  array<index_type>{exec, std::move(col_idxs)},
263  array<index_type>{exec, std::move(row_ptrs)});
264  }
265 
284  static std::unique_ptr<const Csr> create_const(
285  std::shared_ptr<const Executor> exec, const batch_dim<2>& sizes,
286  gko::detail::const_array_view<value_type>&& values,
287  gko::detail::const_array_view<index_type>&& col_idxs,
288  gko::detail::const_array_view<index_type>&& row_ptrs);
289 
299 
314 
318  const Csr* apply(ptr_param<const MultiVector<value_type>> b,
320 
326  const Csr* apply(ptr_param<const MultiVector<value_type>> alpha,
330 
337  void scale(const array<value_type>& row_scale,
338  const array<value_type>& col_scale);
339 
351  ptr_param<const MultiVector<value_type>> beta);
352 
353 private:
354  Csr(std::shared_ptr<const Executor> exec,
355  const batch_dim<2>& size = batch_dim<2>{},
356  size_type num_nonzeros_per_item = {});
357 
358  Csr(std::shared_ptr<const Executor> exec, const batch_dim<2>& size,
359  array<value_type> values, array<index_type> col_idxs,
360  array<index_type> row_ptrs)
361  : EnableBatchLinOp<Csr>(exec, size),
362  values_{exec, std::move(values)},
363  col_idxs_{exec, std::move(col_idxs)},
364  row_ptrs_{exec, std::move(row_ptrs)}
365  {
366  // Ensure that the value and col_idxs arrays have the correct size
367  auto max_num_elems = this->get_common_size()[0] *
368  this->get_common_size()[1] *
369  this->get_num_batch_items();
370  GKO_ASSERT(values_.get_size() <= max_num_elems);
371  GKO_ASSERT_EQ(row_ptrs_.get_size(), this->get_common_size()[0] + 1);
372  GKO_ASSERT_EQ(this->get_num_elements_per_item(), col_idxs_.get_size());
373  }
374 
375  void apply_impl(const MultiVector<value_type>* b,
376  MultiVector<value_type>* x) const;
377 
378  void apply_impl(const MultiVector<value_type>* alpha,
379  const MultiVector<value_type>* b,
380  const MultiVector<value_type>* beta,
381  MultiVector<value_type>* x) const;
382 
383  array<value_type> values_;
384  array<index_type> col_idxs_;
385  array<index_type> row_ptrs_;
386 };
387 
388 
389 } // namespace matrix
390 } // namespace batch
391 } // namespace gko
392 
393 
394 #endif // GKO_PUBLIC_CORE_MATRIX_BATCH_CSR_HPP_
gko::batch::EnableBatchLinOp
The EnableBatchLinOp mixin can be used to provide sensible default implementations of the majority of...
Definition: batch_lin_op.hpp:251
gko::batch::matrix::Csr::get_col_idxs
index_type * get_col_idxs() noexcept
Returns a pointer to the array of column indices of the matrix.
Definition: batch_csr.hpp:114
gko::batch::matrix::Csr::create_const_view_for_item
std::unique_ptr< const unbatch_type > create_const_view_for_item(size_type item_id) const
Creates a mutable view (of matrix::Csr type) of one item of the batch::matrix::Csr<value_type> object...
gko::batch::matrix::Csr::get_values_for_item
value_type * get_values_for_item(size_type batch_id) noexcept
Returns a pointer to the array of values of the matrix for a specific batch item.
Definition: batch_csr.hpp:177
gko::matrix::Csr
CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...
Definition: matrix.hpp:27
gko::batch::BatchLinOp
Definition: batch_lin_op.hpp:60
gko::batch::matrix::Csr::create_view_for_item
std::unique_ptr< unbatch_type > create_view_for_item(size_type item_id)
Creates a mutable view (of matrix::Csr type) of one item of the batch::matrix::Csr<value_type> object...
gko::batch::matrix::Csr::create
static std::unique_ptr< Csr > create(std::shared_ptr< const Executor > exec, const batch_dim< 2 > &size=batch_dim< 2 >{}, size_type num_nonzeros_per_item={})
Creates an uninitialized Csr matrix of the specified size.
gko::batch::matrix::Csr::scale
void scale(const array< value_type > &row_scale, const array< value_type > &col_scale)
Performs in-place row and column scaling for this matrix.
gko::size_type
std::size_t size_type
Integral type used for allocation quantities.
Definition: types.hpp:108
gko::batch::matrix::Csr
Csr is a general sparse matrix format that stores the column indices for each nonzero entry and a cum...
Definition: batch_csr.hpp:48
gko::batch::MultiVector
MultiVector stores multiple vectors in a batched fashion and is useful for batched operations.
Definition: batch_multi_vector.hpp:53
gko
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
gko::batch::matrix::Csr::apply
Csr * apply(ptr_param< const MultiVector< value_type >> b, ptr_param< MultiVector< value_type >> x)
Apply the matrix to a multi-vector.
gko::array< value_type >
gko::batch_dim< 2 >
gko::batch::matrix::Csr::get_const_values_for_item
const value_type * get_const_values_for_item(size_type batch_id) const noexcept
Returns a pointer to the array of values of the matrix for a specific batch item.
Definition: batch_csr.hpp:193
gko::batch::matrix::Csr::get_num_elements_per_item
size_type get_num_elements_per_item() const noexcept
Returns the number of stored elements in each batch item.
Definition: batch_csr.hpp:164
gko::batch::matrix::Csr::get_row_ptrs
index_type * get_row_ptrs() noexcept
Returns a pointer to the array of row pointers of the matrix.
Definition: batch_csr.hpp:133
gko::batch::matrix::Csr::get_num_stored_elements
size_type get_num_stored_elements() const noexcept
Returns the number of elements explicitly stored in the batch matrix, cumulative across all the batch...
Definition: batch_csr.hpp:154
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::ptr_param
This class is used for function parameters in the place of raw pointers.
Definition: utils_helper.hpp:43
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::batch::matrix::Csr::add_scaled_identity
void add_scaled_identity(ptr_param< const MultiVector< value_type >> alpha, ptr_param< const MultiVector< value_type >> beta)
Performs the operation this = alpha*I + beta*this.
gko::batch::matrix::Csr::get_const_col_idxs
const index_type * get_const_col_idxs() const noexcept
Returns a pointer to the array of column indices of the matrix.
Definition: batch_csr.hpp:123
gko::batch::matrix::Csr::get_const_row_ptrs
const index_type * get_const_row_ptrs() const noexcept
Returns a pointer to the array of row pointers of the matrix.
Definition: batch_csr.hpp:142
gko::batch::matrix::Csr::create_const
static std::unique_ptr< const Csr > create_const(std::shared_ptr< const Executor > exec, const batch_dim< 2 > &sizes, gko::detail::const_array_view< value_type > &&values, gko::detail::const_array_view< index_type > &&col_idxs, gko::detail::const_array_view< index_type > &&row_ptrs)
Creates a constant (immutable) batch csr matrix from a constant array.
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::batch::matrix::Csr::get_const_values
const value_type * get_const_values() const noexcept
Returns a pointer to the array of values of the matrix.
Definition: batch_csr.hpp:104
gko::Executor
The first step in using the Ginkgo library consists of creating an executor.
Definition: executor.hpp:616
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::array::get_size
size_type get_size() const noexcept
Returns the number of elements in the array.
Definition: array.hpp:657
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::batch::matrix::Csr::get_values
value_type * get_values() noexcept
Returns a pointer to the array of values of the matrix.
Definition: batch_csr.hpp:95
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