Coodinate (COO) format Matrix (need to sort) More...

#include <monolish_coo.hpp>

Collaboration diagram for monolish::matrix::COO< Float >:

Public Member Functions
Float	at (const size_t i, const size_t j)
	Get matrix element (A(i,j)) More...

Float	at (const size_t i, const size_t j) const
	Get matrix element (A(i,j)) More...

void	col (const size_t c, vector< Float > &vec) const
	get column vector More...

void	col (const size_t c, view1D< matrix::Dense< Float >, Float > &vec) const

void	col (const size_t c, view1D< tensor::tensor_Dense< Float >, Float > &vec) const

void	col (const size_t c, view1D< vector< Float >, Float > &vec) const

void	convert (const matrix::CRS< Float > &crs)
	Create COO matrix from CRS matrix. More...

void	convert (const matrix::Dense< Float > &dense)
	Create COO matrix from Dense matrix (drop zero) More...

void	convert (const matrix::LinearOperator< Float > &linearoperator)

	COO ()

	COO (const matrix::COO< Float > &coo)
	Create COO matrix from COO matrix. More...

	COO (const matrix::COO< Float > &coo, Float value)
	Initialize COO matrix of the same size as input matrix. More...

	COO (const matrix::CRS< Float > &crs)
	Create COO matrix from CRS matrix. More...

	COO (const matrix::Dense< Float > &dense)
	Create COO matrix from Dense matrix (drop zero) More...

	COO (const matrix::LinearOperator< Float > &linearoperator)

	COO (const size_t M, const size_t N)
	Initialize M x N COO matrix. More...

	COO (const size_t M, const size_t N, const size_t NNZ, const int row, const int col, const Float *value)
	Create COO matrix from array. More...

	COO (const size_t M, const size_t N, const size_t NNZ, const int row, const int col, const Float *value, const size_t origin)
	Create COO matrix from n-origin array. More...

	COO (const size_t M, const size_t N, const size_t NNZ, const std::vector< int > &row, const std::vector< int > &col, const std::vector< Float > &value)
	Create COO matrix from std::vector. More...

	COO (const size_t M, const size_t N, const size_t NNZ, const std::vector< int > &row, const std::vector< int > &col, const std::vector< Float > &value, const size_t origin)
	Create COO matrix from n-origin array. More...

	COO (const size_t M, const size_t N, const size_t NNZ, const std::vector< int > &row, const std::vector< int > &col, const vector< Float > &value)
	Create COO matrix from monolish::vector. More...

	COO (const std::string filename)
	Create COO matrix from MatrixMarket format file (only real general) (MatrixMarket format: https://math.nist.gov/MatrixMarket/formats.html) More...

Float *	data ()
	returns a direct pointer to the vector More...

const Float *	data () const
	returns a direct pointer to the vector More...

void	device_free () const
	free data on GPU More...

void	diag (vector< Float > &vec) const
	get diag. vector More...

void	diag (view1D< matrix::Dense< Float >, Float > &vec) const

void	diag (view1D< tensor::tensor_Dense< Float >, Float > &vec) const

void	diag (view1D< vector< Float >, Float > &vec) const

bool	equal (const COO< Float > &mat, bool compare_cpu_and_device=false) const
	Comparing matrices (A == mat) More...

void	fill (Float value)
	fill matrix elements with a scalar value More...

size_t	get_col () const
	get # of col More...

std::vector< int > &	get_col_ind ()
	get column index More...

const std::vector< int > &	get_col_ind () const
	get column index More...

double	get_data_size () const
	Memory data space required by the matrix. More...

bool	get_device_mem_stat () const
	false; // true: sended, false: not send More...

size_t	get_nnz () const
	get # of non-zeros More...

size_t	get_row () const
	get # of row More...

std::vector< int > &	get_row_ptr ()
	get row index More...

const std::vector< int > &	get_row_ptr () const
	get row index More...

std::vector< Float >	get_val_ptr ()
	get value More...

const std::vector< Float >	get_val_ptr () const
	get value More...

void	input_mm (const std::string filename)
	Create COO matrix from MatrixMarket format file (only real general) (MatrixMarket format: https://math.nist.gov/MatrixMarket/formats.html) More...

void	insert (const size_t m, const size_t n, const Float val)
	insert element to (m, n) More...

bool	operator!= (const COO< Float > &mat) const
	Comparing matrices (A != mat) More...

void	operator= (const COO< Float > &mat)
	matrix copy More...

bool	operator== (const COO< Float > &mat) const
	Comparing matrices (A == mat) More...

Float &	operator[] (size_t i)
	reference to the element at position (v[i]) More...

void	output_mm (const std::string filename) const
	output matrix elements in MatrixMarket format (MatrixMarket format: https://math.nist.gov/MatrixMarket/formats.html) More...

void	print_all (bool force_cpu=false) const
	print all elements to standard I/O More...

void	print_all (const std::string filename) const
	print all elements to file More...

void	recv () const
	recv data from GPU More...

void	resize (size_t N, Float Val=0)
	resize matrix value More...

void	row (const size_t r, vector< Float > &vec) const
	get row vector More...

void	row (const size_t r, view1D< matrix::Dense< Float >, Float > &vec) const

void	row (const size_t r, view1D< tensor::tensor_Dense< Float >, Float > &vec) const

void	row (const size_t r, view1D< vector< Float >, Float > &vec) const

void	send () const
	Set # of non-zero elements. More...

void	set_col (const size_t N)
	Set col number. More...

void	set_ptr (const size_t rN, const size_t cN, const std::vector< int > &r, const std::vector< int > &c, const size_t vsize, const Float *v)
	Set COO array from std::vector. More...

void	set_ptr (const size_t rN, const size_t cN, const std::vector< int > &r, const std::vector< int > &c, const std::vector< Float > &v)
	Set COO array from std::vector. More...

void	set_row (const size_t M)
	Set row number. More...

void	sort (bool merge)
	sort COO matrix elements (and merge elements) More...

void	transpose ()
	get transposed matrix (A^T) More...

void	transpose (const COO &B)
	create transposed matrix from COO matrix (B = A^T) More...

std::string	type () const
	get format name "COO" More...

	~COO ()
	; free gpu mem. More...

Public Attributes
std::size_t	alloc_nnz = 0
	alloced matrix size More...

std::vector< int >	col_index
	Coodinate format column index, which stores column numbers of the non-zero elements (size nnz) More...

std::vector< int >	row_index
	Coodinate format row index, which stores row numbers of the non-zero elements (size nnz) More...

std::shared_ptr< Float >	val
	Coodinate format value array (pointer), which stores values of the non-zero elements. More...

bool	val_create_flag = false
	matrix create flag; More...

size_t	val_nnz = 0
	# of non-zero element More...

Private Member Functions
void	_q_sort (int lo, int hi)

Private Attributes
size_t	colN
	# of col More...

bool	gpu_status = false
	# of non-zero element More...

size_t	rowN
	# of row More...

Detailed Description

template<typename Float>
class monolish::matrix::COO< Float >

Coodinate (COO) format Matrix (need to sort)

Note

Multi-threading: true
GPU acceleration: false

Definition at line 47 of file monolish_coo.hpp.

Constructor & Destructor Documentation

◆ COO() [1/13]

template<typename Float >

monolish::matrix::COO< Float >::COO ( )

inline

Definition at line 103 of file monolish_coo.hpp.

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◆ COO() [2/13]

template<typename Float >

monolish::matrix::COO< Float >::COO	(	const size_t	M,
		const size_t	N
	)

inline

Initialize M x N COO matrix.

Parameters

M	# of row
N	# of col

Note

# of computation: 0
Multi-threading: false
GPU acceleration: false

Definition at line 118 of file monolish_coo.hpp.

◆ COO() [3/13]

template<typename Float >

monolish::matrix::COO< Float >::COO	(	const size_t	M,
		const size_t	N,
		const size_t	NNZ,
		const int *	row,
		const int *	col,
		const Float *	value
	)

Create COO matrix from array.

Parameters

M	# of row
N	# of col
NNZ	# of non-zero elements
row	row index, which stores the row numbers of the non-zero elements (size nnz)
col	col index, which stores the column numbers of the non-zero elements (size nnz)
value	value index, which stores the non-zero elements (size nnz)

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

◆ COO() [4/13]

template<typename Float >

monolish::matrix::COO< Float >::COO	(	const size_t	M,
		const size_t	N,
		const size_t	NNZ,
		const std::vector< int > &	row,
		const std::vector< int > &	col,
		const std::vector< Float > &	value
	)

inline

Create COO matrix from std::vector.

Parameters

M	# of row
N	# of col
NNZ	# of non-zero elements
row	row index, which stores the row numbers of the non-zero elements (size nnz)
col	col index, which stores the column numbers of the non-zero elements (size nnz)
value	value index, which stores the non-zero elements (size nnz)

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

Definition at line 157 of file monolish_coo.hpp.

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◆ COO() [5/13]

template<typename Float >

monolish::matrix::COO< Float >::COO	(	const size_t	M,
		const size_t	N,
		const size_t	NNZ,
		const std::vector< int > &	row,
		const std::vector< int > &	col,
		const vector< Float > &	value
	)

inline

Create COO matrix from monolish::vector.

Parameters

M	# of row
N	# of col
NNZ	# of non-zero elements
row	row index, which stores the row numbers of the non-zero elements (size nnz)
col	col index, which stores the column numbers of the non-zero elements (size nnz)
value	value index, which stores the non-zero elements (size nnz)

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

Warning: gpu_status of input vectors must be false

Definition at line 180 of file monolish_coo.hpp.

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◆ COO() [6/13]

template<typename Float >

monolish::matrix::COO< Float >::COO	(	const size_t	M,
		const size_t	N,
		const size_t	NNZ,
		const int *	row,
		const int *	col,
		const Float *	value,
		const size_t	origin
	)

Create COO matrix from n-origin array.

Parameters

M	# of row
N	# of col
NNZ	# of non-zero elements
row	n-origin row index, which stores the row numbers of the non-zero elements (size nnz)
col	n-origin col index, which stores the column numbers of the non-zero elements (size nnz)
value	n-origin value index, which stores the non-zero elements (size nnz)
origin	n-origin

Note

# of computation: 3nnz + 2nnz(adjust possition using origin)
Multi-threading: true
GPU acceleration: false

◆ COO() [7/13]

template<typename Float >

monolish::matrix::COO< Float >::COO	(	const size_t	M,
		const size_t	N,
		const size_t	NNZ,
		const std::vector< int > &	row,
		const std::vector< int > &	col,
		const std::vector< Float > &	value,
		const size_t	origin
	)

inline

Create COO matrix from n-origin array.

Parameters

M	# of row
N	# of col
NNZ	# of non-zero elements
row	n-origin row index, which stores the row numbers of the non-zero elements (size nnz)
col	n-origin col index, which stores the column numbers of the non-zero elements (size nnz)
value	n-origin value, which stores the non-zero elements (size nnz)
origin	n-origin

Note

# of computation: 3nnz + 2nnz(adjust possition using origin)
Multi-threading: true
GPU acceleration: false

Definition at line 224 of file monolish_coo.hpp.

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◆ COO() [8/13]

template<typename Float >

monolish::matrix::COO< Float >::COO ( const matrix::COO< Float > & coo )

Create COO matrix from COO matrix.

Parameters

coo	input COO matrix

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

◆ COO() [9/13]

template<typename Float >

monolish::matrix::COO< Float >::COO	(	const matrix::COO< Float > &	coo,
		Float	value
	)

Initialize COO matrix of the same size as input matrix.

Parameters

coo	input COO matrix
value	the value to initialize elements

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

◆ COO() [10/13]

template<typename Float >

monolish::matrix::COO< Float >::COO ( const matrix::CRS< Float > & crs )

inline

Create COO matrix from CRS matrix.

Parameters

crs	input COO matrix

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

Definition at line 269 of file monolish_coo.hpp.

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◆ COO() [11/13]

template<typename Float >

monolish::matrix::COO< Float >::COO ( const matrix::Dense< Float > & dense )

inline

Create COO matrix from Dense matrix (drop zero)

Parameters

dense input Dense matrix (size M x N)

Note

# of computation: 3NM
Multi-threading: false
GPU acceleration: false

Definition at line 292 of file monolish_coo.hpp.

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◆ COO() [12/13]

template<typename Float >

monolish::matrix::COO< Float >::COO ( const matrix::LinearOperator< Float > & linearoperator )

inline

Definition at line 299 of file monolish_coo.hpp.

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◆ ~COO()

template<typename Float >

monolish::matrix::COO< Float >::~COO ( )

inline

; free gpu mem.

Warning: COO format can not use GPU function

Definition at line 374 of file monolish_coo.hpp.

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◆ COO() [13/13]

template<typename Float >

monolish::matrix::COO< Float >::COO ( const std::string filename )

inline

Create COO matrix from MatrixMarket format file (only real general) (MatrixMarket format: https://math.nist.gov/MatrixMarket/formats.html)

Parameters

filename MatrixMarket format file name

Note

Multi-threading: false
GPU acceleration: false

Definition at line 451 of file monolish_coo.hpp.

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Member Function Documentation

◆ _q_sort()

template<typename Float >

void monolish::matrix::COO< Float >::_q_sort	(	int	lo,
		int	hi
	)

private

◆ at() [1/2]

template<typename Float >

Float monolish::matrix::COO< Float >::at	(	const size_t	i,
		const size_t	j
	)

inline

Get matrix element (A(i,j))

Note

# of computation: i*M+j
Multi-threading: false
GPU acceleration: false

Definition at line 499 of file monolish_coo.hpp.

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◆ at() [2/2]

template<typename Float >

Float monolish::matrix::COO< Float >::at	(	const size_t	i,
		const size_t	j
	)		const

Get matrix element (A(i,j))

Note

# of computation: i*M+j
Multi-threading: false
GPU acceleration: false

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◆ col() [1/4]

template<typename Float >

void monolish::matrix::COO< Float >::col	(	const size_t	c,
		vector< Float > &	vec
	)		const

get column vector

Parameters

c	column number
vec	column vector

Note

# of computation: nnz
Multi-threading: false
GPU acceleration: false

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◆ col() [2/4]

template<typename Float >

void monolish::matrix::COO< Float >::col	(	const size_t	c,
		view1D< matrix::Dense< Float >, Float > &	vec
	)		const

◆ col() [3/4]

template<typename Float >

void monolish::matrix::COO< Float >::col	(	const size_t	c,
		view1D< tensor::tensor_Dense< Float >, Float > &	vec
	)		const

◆ col() [4/4]

template<typename Float >

void monolish::matrix::COO< Float >::col	(	const size_t	c,
		view1D< vector< Float >, Float > &	vec
	)		const

◆ convert() [1/3]

template<typename Float >

void monolish::matrix::COO< Float >::convert ( const matrix::CRS< Float > & crs )

Create COO matrix from CRS matrix.

Parameters

crs	input COO matrix

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

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◆ convert() [2/3]

template<typename Float >

void monolish::matrix::COO< Float >::convert ( const matrix::Dense< Float > & dense )

Create COO matrix from Dense matrix (drop zero)

Parameters

dense input Dense matrix (size M x N)

Note

# of computation: 3NM
Multi-threading: false
GPU acceleration: false

◆ convert() [3/3]

template<typename Float >

void monolish::matrix::COO< Float >::convert ( const matrix::LinearOperator< Float > & linearoperator )

◆ data() [1/2]

template<typename Float >

Float* monolish::matrix::COO< Float >::data ( )

inline

returns a direct pointer to the vector

Returns: A pointer to the first element

Note

# of computation: 1

Definition at line 396 of file monolish_coo.hpp.

◆ data() [2/2]

template<typename Float >

const Float* monolish::matrix::COO< Float >::data ( ) const

inline

returns a direct pointer to the vector

Returns: A const pointer to the first element

Note

# of computation: 1

Definition at line 388 of file monolish_coo.hpp.

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◆ device_free()

template<typename Float >

void monolish::matrix::COO< Float >::device_free ( ) const

inline

free data on GPU

Warning: COO format can not use GPU function

Definition at line 359 of file monolish_coo.hpp.

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◆ diag() [1/4]

template<typename Float >

void monolish::matrix::COO< Float >::diag ( vector< Float > & vec ) const

get diag. vector

Parameters

vec	diag. vector

Note

# of computation: nnz
Multi-threading: false
GPU acceleration: false

◆ diag() [2/4]

template<typename Float >

void monolish::matrix::COO< Float >::diag ( view1D< matrix::Dense< Float >, Float > & vec ) const

◆ diag() [3/4]

template<typename Float >

void monolish::matrix::COO< Float >::diag ( view1D< tensor::tensor_Dense< Float >, Float > & vec ) const

◆ diag() [4/4]

template<typename Float >

void monolish::matrix::COO< Float >::diag ( view1D< vector< Float >, Float > & vec ) const

◆ equal()

template<typename Float >

bool monolish::matrix::COO< Float >::equal	(	const COO< Float > &	mat,
		bool	compare_cpu_and_device = `false`
	)		const

Comparing matrices (A == mat)

Parameters

mat	COO matrix
compare_cpu_and_device	Unused options for integrity

Returns: true or false

Note

# of computation: 3nnz
Multi-threading: true
GPU acceleration: false

◆ fill()

template<typename Float >

void monolish::matrix::COO< Float >::fill ( Float value )

fill matrix elements with a scalar value

Parameters

value scalar value

Note

# of computation: N
Multi-threading: true
GPU acceleration: true

◆ get_col()

template<typename Float >

size_t monolish::matrix::COO< Float >::get_col ( ) const

inline

get # of col

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

Definition at line 549 of file monolish_coo.hpp.

◆ get_col_ind() [1/2]

template<typename Float >

std::vector<int>& monolish::matrix::COO< Float >::get_col_ind ( )

inline

get column index

Returns: column index

Note

# of computation: nnz
Multi-threading: false
GPU acceleration: false

Definition at line 588 of file monolish_coo.hpp.

◆ get_col_ind() [2/2]

template<typename Float >

const std::vector<int>& monolish::matrix::COO< Float >::get_col_ind ( ) const

inline

get column index

Returns: column index

Note

# of computation: nnz
Multi-threading: false
GPU acceleration: false

Definition at line 626 of file monolish_coo.hpp.

◆ get_data_size()

template<typename Float >

double monolish::matrix::COO< Float >::get_data_size ( ) const

inline

Memory data space required by the matrix.

Note

# of computation: 3
Multi-threading: false
GPU acceleration: false

Definition at line 676 of file monolish_coo.hpp.

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◆ get_device_mem_stat()

template<typename Float >

bool monolish::matrix::COO< Float >::get_device_mem_stat ( ) const

inline

false; // true: sended, false: not send

Returns: true is sended.

Warning: COO format can not use GPU function

Definition at line 367 of file monolish_coo.hpp.

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◆ get_nnz()

template<typename Float >

size_t monolish::matrix::COO< Float >::get_nnz ( ) const

inline

get # of non-zeros

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

Definition at line 558 of file monolish_coo.hpp.

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◆ get_row()

template<typename Float >

size_t monolish::matrix::COO< Float >::get_row ( ) const

inline

get # of row

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

Definition at line 540 of file monolish_coo.hpp.

◆ get_row_ptr() [1/2]

template<typename Float >

std::vector<int>& monolish::matrix::COO< Float >::get_row_ptr ( )

inline

get row index

Returns: row index

Note

# of computation: nnz
Multi-threading: false
GPU acceleration: false

Definition at line 578 of file monolish_coo.hpp.

◆ get_row_ptr() [2/2]

template<typename Float >

const std::vector<int>& monolish::matrix::COO< Float >::get_row_ptr ( ) const

inline

get row index

Returns: row index

Note

# of computation: nnz
Multi-threading: false
GPU acceleration: false

Definition at line 614 of file monolish_coo.hpp.

◆ get_val_ptr() [1/2]

template<typename Float >

std::vector<Float> monolish::matrix::COO< Float >::get_val_ptr ( )

inline

get value

Returns: value

Note

# of computation: nnz
Multi-threading: false
GPU acceleration: false

Definition at line 598 of file monolish_coo.hpp.

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◆ get_val_ptr() [2/2]

template<typename Float >

const std::vector<Float> monolish::matrix::COO< Float >::get_val_ptr ( ) const

inline

get value

Returns: value

Note

# of computation: nnz
Multi-threading: false
GPU acceleration: false

Definition at line 638 of file monolish_coo.hpp.

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◆ input_mm()

template<typename Float >

void monolish::matrix::COO< Float >::input_mm ( const std::string filename )

Create COO matrix from MatrixMarket format file (only real general) (MatrixMarket format: https://math.nist.gov/MatrixMarket/formats.html)

Parameters

filename MatrixMarket format file name

Note

Multi-threading: false
GPU acceleration: false

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◆ insert()

template<typename Float >

void monolish::matrix::COO< Float >::insert	(	const size_t	m,
		const size_t	n,
		const Float	val
	)

insert element to (m, n)

Parameters

m	row number
n	col number
val	matrix value (if multiple element exists, value will be added together)

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

Warning: This function does not check for duplicate values. This adds an element to the end of the array. In most cases, calling sort() is required after this function.

◆ operator!=()

template<typename Float >

bool monolish::matrix::COO< Float >::operator!= ( const COO< Float > & mat ) const

Comparing matrices (A != mat)

Parameters

mat	COO matrix

Returns: true or false

Note

# of computation: 3nnz
Multi-threading: true
GPU acceleration: false

◆ operator=()

template<typename Float >

void monolish::matrix::COO< Float >::operator= ( const COO< Float > & mat )

matrix copy

Parameters

mat	COO matrix

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

Warning: src. and dst. must be same non-zero structure (dont check in this function)

◆ operator==()

template<typename Float >

bool monolish::matrix::COO< Float >::operator== ( const COO< Float > & mat ) const

Comparing matrices (A == mat)

Parameters

mat	COO matrix

Returns: true or false

Note

# of computation: 3nnz
Multi-threading: true
GPU acceleration: false

◆ operator[]()

template<typename Float >

Float& monolish::matrix::COO< Float >::operator[] ( size_t i )

inline

reference to the element at position (v[i])

Parameters

i	Position of an element in the vector

Returns: vector element (v[i])

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

Definition at line 755 of file monolish_coo.hpp.

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◆ output_mm()

template<typename Float >

void monolish::matrix::COO< Float >::output_mm ( const std::string filename ) const

output matrix elements in MatrixMarket format (MatrixMarket format: https://math.nist.gov/MatrixMarket/formats.html)

Parameters

filename MatrixMarket format file name

Note

Multi-threading: false
GPU acceleration: false

◆ print_all() [1/2]

template<typename Float >

void monolish::matrix::COO< Float >::print_all ( bool force_cpu = false ) const

print all elements to standard I/O

Parameters

force_cpu Unused options for integrity

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

◆ print_all() [2/2]

template<typename Float >

void monolish::matrix::COO< Float >::print_all ( const std::string filename ) const

print all elements to file

Parameters

filename output filename

Note

# of computation: 3nnz
Multi-threading: false
GPU acceleration: false

◆ recv()

template<typename Float >

void monolish::matrix::COO< Float >::recv ( ) const

inline

recv data from GPU

Warning: COO format can not use GPU function

Definition at line 350 of file monolish_coo.hpp.

◆ resize()

template<typename Float >

void monolish::matrix::COO< Float >::resize	(	size_t	N,
		Float	Val = `0`
	)

inline

resize matrix value

Parameters

N	matrix size

Note

# of computation: N
Multi-threading: false
GPU acceleration: false

Definition at line 406 of file monolish_coo.hpp.

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◆ row() [1/4]

template<typename Float >

void monolish::matrix::COO< Float >::row	(	const size_t	r,
		vector< Float > &	vec
	)		const

get row vector

Parameters

r	row number
vec	row vector

Note

# of computation: nnz
Multi-threading: false
GPU acceleration: false

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◆ row() [2/4]

template<typename Float >

void monolish::matrix::COO< Float >::row	(	const size_t	r,
		view1D< matrix::Dense< Float >, Float > &	vec
	)		const

◆ row() [3/4]

template<typename Float >

void monolish::matrix::COO< Float >::row	(	const size_t	r,
		view1D< tensor::tensor_Dense< Float >, Float > &	vec
	)		const

◆ row() [4/4]

template<typename Float >

void monolish::matrix::COO< Float >::row	(	const size_t	r,
		view1D< vector< Float >, Float > &	vec
	)		const

◆ send()

template<typename Float >

void monolish::matrix::COO< Float >::send ( ) const

inline

Set # of non-zero elements.

Parameters

NNZ	# of non-zero elements

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

send data to GPU

Warning: COO format can not use GPU function

Definition at line 341 of file monolish_coo.hpp.

◆ set_col()

template<typename Float >

void monolish::matrix::COO< Float >::set_col ( const size_t N )

inline

Set col number.

Parameters

N # of col

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

Definition at line 322 of file monolish_coo.hpp.

◆ set_ptr() [1/2]

template<typename Float >

void monolish::matrix::COO< Float >::set_ptr	(	const size_t	rN,
		const size_t	cN,
		const std::vector< int > &	r,
		const std::vector< int > &	c,
		const size_t	vsize,
		const Float *	v
	)

Set COO array from std::vector.

Parameters

rN	# of row
cN	# of column
r	row_index
c	col_index
v	value

Note

# of computation: 3
Multi-threading: false
GPU acceleration: false

◆ set_ptr() [2/2]

template<typename Float >

void monolish::matrix::COO< Float >::set_ptr	(	const size_t	rN,
		const size_t	cN,
		const std::vector< int > &	r,
		const std::vector< int > &	c,
		const std::vector< Float > &	v
	)

Set COO array from std::vector.

Parameters

rN	# of row
cN	# of column
r	row_index
c	col_index
v	value

Note

# of computation: 3
Multi-threading: false
GPU acceleration: false

◆ set_row()

template<typename Float >

void monolish::matrix::COO< Float >::set_row ( const size_t M )

inline

Set row number.

Parameters

M # of row

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

Definition at line 312 of file monolish_coo.hpp.

◆ sort()

template<typename Float >

void monolish::matrix::COO< Float >::sort ( bool merge )

sort COO matrix elements (and merge elements)

Parameters

merge need to merge (true or false)

Note

# of computation: 3nnz x log(3nnz) ~ 3nnz^2
Multi-threading: false
GPU acceleration: false

◆ transpose() [1/2]

template<typename Float >

void monolish::matrix::COO< Float >::transpose ( )

get transposed matrix (A^T)

Returns: tranposed matrix A^T

Note

# of computation: 2 * nnz
Multi-threading: false
GPU acceleration: false

◆ transpose() [2/2]

template<typename Float >

void monolish::matrix::COO< Float >::transpose ( const COO< Float > & B )

create transposed matrix from COO matrix (B = A^T)

Parameters

B	COO matrix

Note

# of computation: 3 * nnz
Multi-threading: false
GPU acceleration: false

◆ type()

template<typename Float >

std::string monolish::matrix::COO< Float >::type ( ) const

inline

get format name "COO"

Note

# of computation: 1
Multi-threading: false
GPU acceleration: false

Definition at line 687 of file monolish_coo.hpp.

Member Data Documentation

◆ alloc_nnz

template<typename Float >

std::size_t monolish::matrix::COO< Float >::alloc_nnz = 0

alloced matrix size

Definition at line 96 of file monolish_coo.hpp.

◆ col_index

template<typename Float >

std::vector<int> monolish::matrix::COO< Float >::col_index

Coodinate format column index, which stores column numbers of the non-zero elements (size nnz)

Definition at line 80 of file monolish_coo.hpp.

◆ colN

template<typename Float >

size_t monolish::matrix::COO< Float >::colN

private

# of col

Definition at line 57 of file monolish_coo.hpp.

◆ gpu_status

template<typename Float >

bool monolish::matrix::COO< Float >::gpu_status = false

mutableprivate

# of non-zero element

true: sended, false: not send

Definition at line 67 of file monolish_coo.hpp.

◆ row_index

template<typename Float >

std::vector<int> monolish::matrix::COO< Float >::row_index

Coodinate format row index, which stores row numbers of the non-zero elements (size nnz)

Definition at line 74 of file monolish_coo.hpp.

◆ rowN

template<typename Float >

size_t monolish::matrix::COO< Float >::rowN

private

# of row

Definition at line 52 of file monolish_coo.hpp.

◆ val

template<typename Float >

std::shared_ptr<Float> monolish::matrix::COO< Float >::val

Coodinate format value array (pointer), which stores values of the non-zero elements.

Definition at line 86 of file monolish_coo.hpp.

◆ val_create_flag

template<typename Float >

bool monolish::matrix::COO< Float >::val_create_flag = false

matrix create flag;

Definition at line 101 of file monolish_coo.hpp.

◆ val_nnz

template<typename Float >

size_t monolish::matrix::COO< Float >::val_nnz = 0

# of non-zero element

Definition at line 91 of file monolish_coo.hpp.

The documentation for this class was generated from the following file:

monolish_coo.hpp

Public Member Functions

Public Attributes

Private Member Functions

Private Attributes

Detailed Description

template<typename Float> class monolish::matrix::COO< Float >

Constructor & Destructor Documentation

◆ COO() [1/13]

◆ COO() [2/13]

◆ COO() [3/13]

◆ COO() [4/13]

◆ COO() [5/13]

◆ COO() [6/13]

◆ COO() [7/13]

◆ COO() [8/13]

◆ COO() [9/13]

◆ COO() [10/13]

◆ COO() [11/13]

◆ COO() [12/13]

◆ ~COO()

◆ COO() [13/13]

Member Function Documentation

◆ _q_sort()

◆ at() [1/2]

◆ at() [2/2]

◆ col() [1/4]

◆ col() [2/4]

◆ col() [3/4]

◆ col() [4/4]

◆ convert() [1/3]

◆ convert() [2/3]

◆ convert() [3/3]

◆ data() [1/2]

◆ data() [2/2]

◆ device_free()

◆ diag() [1/4]

◆ diag() [2/4]

◆ diag() [3/4]

◆ diag() [4/4]

◆ equal()

◆ fill()

◆ get_col()

◆ get_col_ind() [1/2]

◆ get_col_ind() [2/2]

◆ get_data_size()

◆ get_device_mem_stat()

◆ get_nnz()

◆ get_row()

◆ get_row_ptr() [1/2]

◆ get_row_ptr() [2/2]

◆ get_val_ptr() [1/2]

◆ get_val_ptr() [2/2]

◆ input_mm()

◆ insert()

◆ operator!=()

◆ operator=()

◆ operator==()

◆ operator[]()

◆ output_mm()

◆ print_all() [1/2]

◆ print_all() [2/2]

◆ recv()

◆ resize()

◆ row() [1/4]

◆ row() [2/4]

◆ row() [3/4]

◆ row() [4/4]

◆ send()

◆ set_col()

◆ set_ptr() [1/2]

◆ set_ptr() [2/2]

◆ set_row()

◆ sort()

◆ transpose() [1/2]

◆ transpose() [2/2]

◆ type()

Member Data Documentation

◆ alloc_nnz

◆ col_index

◆ colN

template<typename Float>
class monolish::matrix::COO< Float >