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Ginkgo
Generated from pipelines/2779843039 branch based on develop. Ginkgo version 2.0.0
A numerical linear algebra library targeting many-core architectures
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5 #ifndef GKO_PUBLIC_CORE_MATRIX_CSR_HPP_
6 #define GKO_PUBLIC_CORE_MATRIX_CSR_HPP_
9 #include <ginkgo/core/base/array.hpp>
10 #include <ginkgo/core/base/index_set.hpp>
11 #include <ginkgo/core/base/lin_op.hpp>
12 #include <ginkgo/core/base/math.hpp>
13 #include <ginkgo/core/matrix/device_views.hpp>
14 #include <ginkgo/core/matrix/permutation.hpp>
15 #include <ginkgo/core/matrix/scaled_permutation.hpp>
22 template <
typename ValueType>
25 template <
typename ValueType>
28 template <
typename ValueType,
typename IndexType>
31 template <
typename ValueType,
typename IndexType>
34 template <
typename ValueType,
typename IndexType>
37 template <
typename ValueType,
typename IndexType>
40 template <
typename ValueType,
typename IndexType>
43 template <
typename ValueType,
typename IndexType>
46 template <
typename ValueType,
typename IndexType>
49 template <
typename ValueType,
typename IndexType>
52 template <
typename IndexType>
62 enum class spmv_strategy {
142 template <
typename ValueType = default_precision,
typename IndexType =
int32>
143 class Csr :
public LinOp,
145 public ConvertibleTo<Csr<next_precision<ValueType>, IndexType>>,
146 #if GINKGO_ENABLE_HALF || GINKGO_ENABLE_BFLOAT16
147 public ConvertibleTo<Csr<next_precision<ValueType, 2>, IndexType>>,
149 #if GINKGO_ENABLE_HALF && GINKGO_ENABLE_BFLOAT16
150 public ConvertibleTo<Csr<next_precision<ValueType, 3>, IndexType>>,
165 remove_complex<Csr<ValueType, IndexType>>>,
168 friend class Coo<ValueType, IndexType>;
169 friend class Dense<ValueType>;
170 friend class Diagonal<ValueType>;
171 friend class Ell<ValueType, IndexType>;
172 friend class Hybrid<ValueType, IndexType>;
173 friend class Sellp<ValueType, IndexType>;
174 friend class SparsityCsr<ValueType, IndexType>;
175 friend class Fbcsr<ValueType, IndexType>;
176 friend class CsrBuilder<ValueType, IndexType>;
178 GKO_ASSERT_SUPPORTED_VALUE_AND_INDEX_TYPE;
201 using value_type = ValueType;
202 using index_type = IndexType;
203 using transposed_type = Csr<ValueType, IndexType>;
207 using device_view = view::csr<value_type, index_type>;
208 using const_device_view = view::csr<const value_type, const index_type>;
210 class GKO_DEPRECATED(
211 "please use enum
gko::matrix::csr::spmv_strategy::<strategy>")
217 virtual csr::spmv_strategy get_enum()
const = 0;
220 class GKO_DEPRECATED(
221 "please use enum
gko::matrix::csr::spmv_strategy::classical")
classical
224 csr::spmv_strategy get_enum()
const override
226 return csr::spmv_strategy::classical;
230 class GKO_DEPRECATED(
231 "please use enum
gko::matrix::csr::spmv_strategy::merge_path")
234 csr::spmv_strategy get_enum()
const override
236 return csr::spmv_strategy::merge_path;
240 class GKO_DEPRECATED(
241 "please use enum
gko::matrix::csr::spmv_strategy::sparselib")
cusparse
244 csr::spmv_strategy get_enum()
const override
246 return csr::spmv_strategy::sparselib;
250 class GKO_DEPRECATED(
251 "please use enum
gko::matrix::csr::spmv_strategy::sparselib")
sparselib
254 csr::spmv_strategy get_enum()
const override
256 return csr::spmv_strategy::sparselib;
260 class GKO_DEPRECATED(
261 "please use enum
gko::matrix::csr::spmv_strategy::load_balance")
266 csr::spmv_strategy get_enum()
const override
268 return csr::spmv_strategy::load_balance;
272 class GKO_DEPRECATED(
273 "please use enum
gko::matrix::csr::spmv_strategy::automatic")
278 csr::spmv_strategy get_enum()
const override
280 return csr::spmv_strategy::automatic;
292 #if GINKGO_ENABLE_HALF || GINKGO_ENABLE_BFLOAT16
304 #if GINKGO_ENABLE_HALF && GINKGO_ENABLE_BFLOAT16
352 std::unique_ptr<LinOp>
transpose()
const override;
404 std::unique_ptr<lookup_data>
internal;
479 std::unique_ptr<lookup_data>
internal;
567 std::unique_ptr<lookup_data>
internal;
637 std::unique_ptr<Permutation<IndexType>> value_permutation;
689 bool invert =
false)
const;
736 bool invert =
false)
const;
768 bool invert =
false)
const;
770 std::unique_ptr<LinOp>
permute(
805 bool is_sorted_by_column_index()
const;
929 strategy_ = strategy;
942 GKO_ASSERT_EQUAL_DIMENSIONS(alpha,
dim<2>(1, 1));
955 GKO_ASSERT_EQUAL_DIMENSIONS(alpha,
dim<2>(1, 1));
967 static std::unique_ptr<Csr>
create(std::shared_ptr<const Executor> exec,
968 csr::spmv_strategy strategy);
981 static std::unique_ptr<Csr>
create(
982 std::shared_ptr<const Executor> exec,
const dim<2>& size = {},
984 csr::spmv_strategy strategy = csr::spmv_strategy::automatic);
1006 static std::unique_ptr<Csr>
create(
1007 std::shared_ptr<const Executor> exec,
const dim<2>& size,
1008 array<value_type> values, array<index_type> col_idxs,
1009 array<index_type> row_ptrs,
1010 csr::spmv_strategy strategy = csr::spmv_strategy::automatic);
1016 template <
typename InputValueType,
typename InputColumnIndexType,
1017 typename InputRowPtrType>
1019 "explicitly construct the gko::array argument instead of passing "
1020 "initializer lists")
1022 std::shared_ptr<const
Executor> exec, const
dim<2>& size,
1023 std::initializer_list<InputValueType> values,
1024 std::initializer_list<InputColumnIndexType> col_idxs,
1025 std::initializer_list<InputRowPtrType> row_ptrs)
1049 std::shared_ptr<const Executor> exec,
const dim<2>& size,
1050 gko::detail::const_array_view<ValueType>&& values,
1051 gko::detail::const_array_view<IndexType>&& col_idxs,
1052 gko::detail::const_array_view<IndexType>&& row_ptrs,
1053 csr::spmv_strategy strategy = csr::spmv_strategy::automatic);
1055 GKO_BEGIN_DISABLE_DEPRECATION_WARNINGS
1061 [[deprecated(
"please use enum version")]]
static std::unique_ptr<Csr>
1062 create(std::shared_ptr<const Executor> exec,
1063 std::shared_ptr<strategy_type> strategy);
1070 [[deprecated(
"please use enum version")]]
static std::unique_ptr<Csr>
1071 create(std::shared_ptr<const Executor> exec,
const dim<2>& size,
1081 [[deprecated(
"please use enum version")]]
static std::unique_ptr<const Csr>
1083 gko::detail::const_array_view<ValueType>&& values,
1084 gko::detail::const_array_view<IndexType>&& col_idxs,
1085 gko::detail::const_array_view<IndexType>&& row_ptrs,
1086 std::shared_ptr<strategy_type> strategy);
1088 GKO_END_DISABLE_DEPRECATION_WARNINGS
1118 const span& row_span,
const span& column_span)
const;
1145 Csr(std::shared_ptr<const Executor> exec,
const dim<2>& size = {},
1147 csr::spmv_strategy strategy = csr::spmv_strategy::automatic);
1149 Csr(std::shared_ptr<const Executor> exec,
const dim<2>& size,
1150 array<value_type> values, array<index_type> col_idxs,
1151 array<index_type> row_ptrs,
1152 csr::spmv_strategy strategy = csr::spmv_strategy::automatic);
1154 void apply_impl(
const LinOp* b,
LinOp* x)
const override;
1156 void apply_impl(
const LinOp* alpha,
const LinOp* b,
const LinOp* beta,
1157 LinOp* x)
const override;
1170 virtual void scale_impl(
const LinOp* alpha);
1178 virtual void inv_scale_impl(
const LinOp* alpha);
1187 csr::spmv_strategy get_actual_strategy() const noexcept;
1190 csr::spmv_strategy strategy_;
1191 array<value_type> values_;
1192 array<index_type> col_idxs_;
1193 array<index_type> row_ptrs_;
1194 array<index_type> srow_;
1195 index_type max_nnz_per_row_;
1197 void add_scaled_identity_impl(const
LinOp* a, const
LinOp* b) override;
1205 #endif // GKO_PUBLIC_CORE_MATRIX_CSR_HPP_
const index_type * get_const_srow() const noexcept
Returns the starting rows.
Definition: csr.hpp:890
Csr & operator=(const Csr &)
Copy-assigns a Csr matrix.
index_type * get_col_idxs() noexcept
Returns the column indexes of the matrix.
Definition: csr.hpp:843
Fixed-block compressed sparse row storage matrix format.
Definition: csr.hpp:47
CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...
Definition: matrix.hpp:30
const index_type * get_const_row_ptrs() const noexcept
Returns the row pointers of the matrix.
Definition: csr.hpp:871
std::unique_ptr< Csr > multiply(ptr_param< const Csr > other) const
Computes the sparse matrix product this * other on the executor of this matrix.
Definition: lin_op.hpp:117
std::pair< std::unique_ptr< Csr >, scale_add_reuse_info > add_scale_reuse(ptr_param< const Dense< value_type >> scale_this, ptr_param< const Dense< value_type >> scale_other, ptr_param< const Csr > mtx_other) const
Computes the sparse matrix sum scale_this * this + scale_other * mtx_add on the executor of this matr...
std::pair< std::unique_ptr< Csr >, permuting_reuse_info > permute_reuse(ptr_param< const Permutation< index_type >> permutation, permute_mode mode=permute_mode::symmetric) const
Computes the operations necessary to propagate changed values from a matrix A to a permuted matrix.
Dense is a matrix format which explicitly stores all values of the matrix.
Definition: dense_cache.hpp:28
Class describing the internal lookup structures created by multiply_add_reuse to recompute a sparse m...
Definition: csr.hpp:443
std::unique_ptr< LinOp > inverse_row_permute(const array< IndexType > *inverse_permutation_indices) const override
Returns a LinOp representing the row permutation of the inverse permuted object.
SparsityCsr is a matrix format which stores only the sparsity pattern of a sparse matrix by compressi...
Definition: csr.hpp:41
std::pair< std::unique_ptr< Csr >, multiply_reuse_info > multiply_reuse(ptr_param< const Csr > other) const
Computes the sparse matrix product this * other on the executor of this matrix, and necessary data fo...
Events get reported to loggers attached to the triggering object and propagating loggers (Logger::nee...
void update_values(ptr_param< const Csr > mtx, ptr_param< const Dense< value_type >> scale_mult, ptr_param< const Csr > mtx_mult, ptr_param< const Dense< value_type >> scale_add, ptr_param< const Csr > mtx_add, ptr_param< Csr > out) const
Recomputes the sparse matrix-matrix product out = scale_mult * mtx * mtx_mult + scale_add * mtx_add w...
void scale(ptr_param< const LinOp > alpha)
Scales the matrix with a scalar.
Definition: csr.hpp:939
const_device_view get_const_device_view() const
Returns a non-owning const device view of this matrix.
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:392
std::unique_ptr< LinOp > column_permute(const array< IndexType > *permutation_indices) const override
Returns a LinOp representing the column permutation of the Permutable object.
ScaledPermutation is a matrix combining a permutation with scaling factors.
Definition: scaled_permutation.hpp:36
std::size_t size_type
Integral type used for allocation quantities.
Definition: types.hpp:101
index_type * get_srow() noexcept
Returns the starting rows.
Definition: csr.hpp:881
std::pair< std::unique_ptr< Csr >, permuting_reuse_info > transpose_reuse() const
Computes the necessary data to update a transposed matrix from its original matrix.
Permutation is a matrix format that represents a permutation matrix, i.e.
Definition: csr.hpp:53
permuting_reuse_info()
Creates an empty reuse info.
std::unique_ptr< LinOp > row_permute(const array< IndexType > *permutation_indices) const override
Returns a LinOp representing the row permutation of the Permutable object.
Linear operators which support permutation should implement the Permutable interface.
Definition: lin_op.hpp:443
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
static std::unique_ptr< Csr > create(std::shared_ptr< const Executor > exec, csr::spmv_strategy strategy)
Creates an uninitialized CSR matrix of the specified size.
void inv_scale(ptr_param< const LinOp > alpha)
Scales the matrix with the inverse of a scalar.
Definition: csr.hpp:952
std::unique_ptr< Diagonal< ValueType > > extract_diagonal() const override
Extracts the diagonal entries of the matrix into a vector.
std::unique_ptr< Csr > multiply_add(ptr_param< const Dense< value_type >> scale_mult, ptr_param< const Csr > mtx_mult, ptr_param< const Dense< value_type >> scale_add, ptr_param< const Csr > mtx_add) const
Computes the sparse matrix product scale_mult * this * mtx_mult + scale_add * mtx_add on the executor...
std::unique_ptr< LinOp > inverse_permute(const array< IndexType > *inverse_permutation_indices) const override
Returns a LinOp representing the symmetric inverse row and column permutation of the Permutable objec...
index_type * get_row_ptrs() noexcept
Returns the row pointers of the matrix.
Definition: csr.hpp:862
A span is a lightweight structure used to create sub-ranges from other ranges.
Definition: range.hpp:46
This structure is used as an intermediate data type to store a sparse matrix.
Definition: matrix_data.hpp:126
std::unique_ptr< Csr > permute(ptr_param< const Permutation< index_type >> permutation, permute_mode mode=permute_mode::symmetric) const
Creates a permuted copy of this matrix with the given permutation .
An index set class represents an ordered set of intervals.
Definition: index_set.hpp:56
void set_strategy(csr::spmv_strategy strategy)
Set the strategy.
Definition: csr.hpp:927
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:687
A LinOp implementing this interface can read its data from a matrix_data structure.
Definition: lin_op.hpp:564
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:619
The rows and columns will be permuted.
const value_type * get_const_values() const noexcept
Returns the values of the matrix.
Definition: csr.hpp:821
mode
The mode for the residual norm criterion.
Definition: residual_norm.hpp:37
size_type get_num_stored_elements() const noexcept
Returns the number of elements explicitly stored in the matrix.
Definition: csr.hpp:910
std::unique_ptr< Csr< ValueType, IndexType > > create_submatrix(const index_set< IndexType > &row_index_set, const index_set< IndexType > &column_index_set) const
Creates a submatrix from this Csr matrix given row and column index_set objects.
Adds the operation M <- a I + b M for matrix M, identity operator I and scalars a and b,...
Definition: lin_op.hpp:777
A struct describing a transformation of the matrix that reorders the values of the matrix into the tr...
Definition: csr.hpp:619
typename detail::find_precision_impl< T, step >::type next_precision
Obtains the next move type of T in the singly-linked precision corresponding bfloat16/half.
Definition: math.hpp:466
void sort_by_column_index()
Sorts all (value, col_idx) pairs in each row by column index.
std::unique_ptr< Csr > scale_add(ptr_param< const Dense< value_type >> scale_this, ptr_param< const Dense< value_type >> scale_other, ptr_param< const Csr > mtx_other) const
Computes the sparse matrix sum scale_this * this + scale_other * mtx_add on the executor of this matr...
typename detail::find_precision_impl< T, -step >::type previous_precision
Obtains the previous move type of T in the singly-linked precision corresponding bfloat16/half.
Definition: math.hpp:473
csr::spmv_strategy get_strategy() const noexcept
Returns the strategy.
void update_values(ptr_param< const Csr > input, ptr_param< Csr > output) const
Propagates the values from an input matrix to the transformed matrix.
This mixin is used to enable a default Cloneable::clone() implementation and similar for objects that...
Definition: polymorphic_object.hpp:369
void update_values(ptr_param< const Dense< value_type >> scale1, ptr_param< const Csr > mtx1, ptr_param< const Dense< value_type >> scale2, ptr_param< const Csr > mtx2, ptr_param< Csr > out) const
Recomputes the sparse matrix-matrix sum out = scale1 * mtx1 + scale2 * mtx2 when only the values of m...
device_view get_device_view()
Returns a non-owning device view of this matrix.
ELL is a matrix format where stride with explicit zeros is used such that all rows have the same numb...
Definition: csr.hpp:32
std::unique_ptr< const Dense< ValueType > > create_const_value_view() const
Creates a const Dense view of the value array of this matrix as a column vector of dimensions nnz x 1...
ConvertibleTo interface is used to mark that the implementer can be converted to the object of Result...
Definition: polymorphic_object.hpp:140
std::unique_ptr< absolute_type > compute_absolute() const override
Gets the AbsoluteLinOp.
detail::temporary_clone< detail::pointee< Ptr > > make_temporary_clone(std::shared_ptr< const Executor > exec, Ptr &&ptr)
Creates a temporary_clone.
Definition: temporary_clone.hpp:208
std::pair< std::unique_ptr< Csr >, multiply_add_reuse_info > multiply_add_reuse(ptr_param< const Dense< value_type >> scale_mult, ptr_param< const Csr > mtx_mult, ptr_param< const Dense< value_type >> scale_add, ptr_param< const Csr > mtx_add) const
Computes the sparse matrix product scale_mult * this * mtx_mult + scale_add * mtx_add on the executor...
The first step in using the Ginkgo library consists of creating an executor.
Definition: executor.hpp:615
HYBRID is a matrix format which splits the matrix into ELLPACK and COO format.
Definition: coo.hpp:33
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:696
void write(mat_data &data) const override
Writes a matrix to a matrix_data structure.
permute_mode
Specifies how a permutation will be applied to a matrix.
Definition: permutation.hpp:42
void update_values(ptr_param< const Csr > mtx1, ptr_param< const Csr > mtx2, ptr_param< Csr > out) const
Recomputes the sparse matrix-matrix product out = mtx1 * mtx2 when only the values of mtx1 and mtx2 c...
SELL-P is a matrix format similar to ELL format.
Definition: csr.hpp:38
const index_type * get_const_col_idxs() const noexcept
Returns the column indexes of the matrix.
Definition: csr.hpp:852
The EnableAbsoluteComputation mixin provides the default implementations of compute_absolute_linop an...
Definition: lin_op.hpp:753
static std::unique_ptr< const Csr > create_const(std::shared_ptr< const Executor > exec, const dim< 2 > &size, gko::detail::const_array_view< ValueType > &&values, gko::detail::const_array_view< IndexType > &&col_idxs, gko::detail::const_array_view< IndexType > &&row_ptrs, csr::spmv_strategy strategy=csr::spmv_strategy::automatic)
Creates a constant (immutable) Csr matrix from a set of constant arrays.
std::unique_ptr< LinOp > inverse_column_permute(const array< IndexType > *inverse_permutation_indices) const override
Returns a LinOp representing the row permutation of the inverse permuted object.
Csr(const Csr &)
Copy-constructs a Csr matrix.
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:62
size_type get_size() const noexcept
Returns the number of elements in the array.
Definition: array.hpp:670
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:264
void compute_absolute_inplace() override
Compute absolute inplace on each element.
std::unique_ptr< Csr > scale_permute(ptr_param< const ScaledPermutation< value_type, index_type >> permutation, permute_mode=permute_mode::symmetric) const
Creates a scaled and permuted copy of this matrix.
This type is a device-side equivalent to matrix_data.
Definition: device_matrix_data.hpp:36
void read(const mat_data &data) override
Reads a matrix from a matrix_data structure.
Non-owning view of a matrix::Csr to be used inside device kernels.
Definition: device_views.hpp:98
std::unique_ptr< Dense< ValueType > > create_value_view()
Creates a Dense view of the value array of this matrix as a column vector of dimensions nnz x 1.
value_type * get_values() noexcept
Returns the values of the matrix.
Definition: csr.hpp:812
Class describing the internal lookup structures created by multiply_reuse(const Csr*) to recompute a ...
Definition: csr.hpp:375
size_type get_num_srow_elements() const noexcept
Returns the number of the srow stored elements (involved warps)
Definition: csr.hpp:900
Class describing the internal lookup structures created by scale_add_reuse to recompute a sparse matr...
Definition: csr.hpp:535
LinOp(const LinOp &)=default
Copy-constructs a LinOp.
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:283
COO stores a matrix in the coordinate matrix format.
Definition: coo.hpp:51