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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_BATCH_CSR_HPP_
6 #define GKO_PUBLIC_CORE_MATRIX_BATCH_CSR_HPP_
9 #include <initializer_list>
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>
47 template <
typename ValueType = default_precision,
typename IndexType =
int32>
50 public ConvertibleTo<Csr<next_precision<ValueType>, IndexType>> {
54 static_assert(std::is_same<IndexType, int32>::value,
55 "IndexType must be a 32 bit integer");
61 using value_type = ValueType;
62 using index_type = IndexType;
179 GKO_ASSERT(batch_id < this->get_num_batch_items());
196 GKO_ASSERT(batch_id < this->get_num_batch_items());
218 static std::unique_ptr<Csr>
create(
219 std::shared_ptr<const Executor> exec,
239 static std::unique_ptr<Csr>
create(std::shared_ptr<const Executor> exec,
250 template <
typename InputValueType,
typename ColIndexType,
253 "explicitly construct the gko::array arguments instead of passing "
257 std::initializer_list<InputValueType> values,
258 std::initializer_list<ColIndexType> col_idxs,
259 std::initializer_list<RowPtrType> row_ptrs)
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);
354 Csr(std::shared_ptr<const Executor> exec,
358 Csr(std::shared_ptr<const Executor> exec,
const batch_dim<2>& size,
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)}
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);
375 void apply_impl(
const MultiVector<value_type>* b,
376 MultiVector<value_type>* x)
const;
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;
383 array<value_type> values_;
384 array<index_type> col_idxs_;
385 array<index_type> row_ptrs_;
394 #endif // GKO_PUBLIC_CORE_MATRIX_BATCH_CSR_HPP_
The EnableBatchLinOp mixin can be used to provide sensible default implementations of the majority of...
Definition: batch_lin_op.hpp:251
index_type * get_col_idxs() noexcept
Returns a pointer to the array of column indices of the matrix.
Definition: batch_csr.hpp:114
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...
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
CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...
Definition: matrix.hpp:27
Definition: batch_lin_op.hpp:60
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...
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.
void scale(const array< value_type > &row_scale, const array< value_type > &col_scale)
Performs in-place row and column scaling for this matrix.
std::size_t size_type
Integral type used for allocation quantities.
Definition: types.hpp:108
Csr is a general sparse matrix format that stores the column indices for each nonzero entry and a cum...
Definition: batch_csr.hpp:48
MultiVector stores multiple vectors in a batched fashion and is useful for batched operations.
Definition: batch_multi_vector.hpp:53
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
Csr * apply(ptr_param< const MultiVector< value_type >> b, ptr_param< MultiVector< value_type >> x)
Apply the matrix to a multi-vector.
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
size_type get_num_elements_per_item() const noexcept
Returns the number of stored elements in each batch item.
Definition: batch_csr.hpp:164
index_type * get_row_ptrs() noexcept
Returns a pointer to the array of row pointers of the matrix.
Definition: batch_csr.hpp:133
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
typename detail::next_precision_impl< T >::type next_precision
Obtains the next type in the singly-linked precision list.
Definition: math.hpp:462
This class is used for function parameters in the place of raw pointers.
Definition: utils_helper.hpp:43
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
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.
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
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
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.
ConvertibleTo interface is used to mark that the implementer can be converted to the object of Result...
Definition: polymorphic_object.hpp:471
const value_type * get_const_values() const noexcept
Returns a pointer to the array of values of the matrix.
Definition: batch_csr.hpp:104
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
size_type get_size() const noexcept
Returns the number of elements in the array.
Definition: array.hpp:657
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
value_type * get_values() noexcept
Returns a pointer to the array of values of the matrix.
Definition: batch_csr.hpp:95
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