#include <monolish_tensor_coo.hpp>

Collaboration diagram for monolish::tensor::tensor_COO< Float >:

Public Member Functions
Float	at (const std::vector< size_t > &pos)
	get element A[pos[0]][pos[1]]... (onlu CPU) More...

Float	at (const std::vector< size_t > &pos) const
	get element A[pos[0]][pos[1]]... More...

Float *	begin ()
	returns a begin iterator More...

const Float *	begin () const
	returns a begin iterator More...

void	convert (const tensor::tensor_Dense< Float > &tens)
	Create tensor_COO tensor from tensor_Dense tensor. More...

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

const Float *	data () const
	returns a direct pointer to the tensor 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

Float *	end ()
	returns a end iterator More...

const Float *	end () const
	returns a end iterator More...

bool	equal (const tensor_COO< Float > &tens, bool compare_cpu_and_device=false) const
	Comparing tensors (A == tens) More...

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

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

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

std::vector< size_t >	get_index (const size_t pos)
	get vector index from aligned index (A[pos[0]][pos[1]]... = A[ind]) More...

size_t	get_index (const std::vector< size_t > &pos)
	get aligned index from vector index (A[pos] = A[ind[0]][ind[1]]...) More...

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

std::vector< size_t >	get_shape () const
	get shape More...

void	insert (const std::vector< size_t > &pos, const Float val)
	insert element A[pos[0]][pos[1]]... More...

bool	operator!= (const tensor_COO< Float > &tens) const
	Comparing tensors (A != tens) More...

void	operator= (const tensor_COO< Float > &tens)
	tensor copy More...

bool	operator== (const tensor_COO< Float > &tens) const
	Comparing tensors (A == tens) More...

Float &	operator[] (size_t i)
	reference to the element at position (v[i]) 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	resize (const size_t N, Float Val=0)
	resize tensor value More...

void	set_ptr (const std::vector< size_t > &shape, const std::vector< std::vector< size_t >> &index, const size_t vsize, const Float *v)
	Set tensor_COO array from array. More...

void	set_ptr (const std::vector< size_t > &shape, const std::vector< std::vector< size_t >> &index, const size_t vsize, const Float v)
	Set tensor_COO array from array. More...

void	set_ptr (const std::vector< size_t > &shape, const std::vector< std::vector< size_t >> &index, const std::vector< Float > &v)
	Set tensor_COO array from std::vector. More...

void	set_shape (const std::vector< size_t > &shape)
	Set shape. More...

void	sort (bool merge)
	sort tensor_COO tensor elements (and merge elements) More...

	tensor_COO ()

	tensor_COO (const std::initializer_list< size_t > &shape_)
	Initialize tensor_COO tensor. More...

	tensor_COO (const std::vector< size_t > &shape_)
	Initialize tensor_COO tensor. More...

	tensor_COO (const std::vector< size_t > &shape_, const std::vector< std::vector< size_t >> &index_, const Float *value)
	Create tensor_COO tensor from n-origin array. More...

	tensor_COO (const tensor::tensor_Dense< Float > &tens)
	Create tensor_COO tensor from tensor_Dense tensor. More...

	tensor_COO (const tensor_COO< Float > &coo)
	Create tensor_COO tensor from tensor_COO tensor. More...

	tensor_COO (const tensor_COO< Float > &coo, Float value)
	Initialize tensor_COO tensor of the same size as input tensor. More...

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

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

std::vector< std::vector< size_t > >	index
	Coodinate format index, which stores index 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
bool	gpu_status = false
	true: sended, false: not send More...

std::vector< size_t >	shape
	shape More...

Detailed Description

template<typename Float>
class monolish::tensor::tensor_COO< Float >

Definition at line 11 of file monolish_tensor_coo.hpp.

Constructor & Destructor Documentation

◆ tensor_COO() [1/7]

template<typename Float >

monolish::tensor::tensor_COO< Float >::tensor_COO ( )

inline

Definition at line 51 of file monolish_tensor_coo.hpp.

◆ tensor_COO() [2/7]

template<typename Float >

monolish::tensor::tensor_COO< Float >::tensor_COO ( const std::vector< size_t > & shape_ )

inline

Initialize tensor_COO tensor.

Parameters

shape shape of tensor

Note

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

Definition at line 63 of file monolish_tensor_coo.hpp.

◆ tensor_COO() [3/7]

template<typename Float >

monolish::tensor::tensor_COO< Float >::tensor_COO ( const std::initializer_list< size_t > & shape_ )

inline

Initialize tensor_COO tensor.

Parameters

shape shape of tensor

Note

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

Definition at line 76 of file monolish_tensor_coo.hpp.

◆ tensor_COO() [4/7]

template<typename Float >

monolish::tensor::tensor_COO< Float >::tensor_COO ( const tensor::tensor_Dense< Float > & tens )

inline

Create tensor_COO tensor from tensor_Dense tensor.

Parameters

tens	input tensor_Dense tensor

Note

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

Definition at line 99 of file monolish_tensor_coo.hpp.

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◆ tensor_COO() [5/7]

template<typename Float >

monolish::tensor::tensor_COO< Float >::tensor_COO	(	const std::vector< size_t > &	shape_,
		const std::vector< std::vector< size_t >> &	index_,
		const Float *	value
	)

Create tensor_COO tensor from n-origin array.

Parameters

shape_	shape of tensor
index_	n-origin index, which stores the numbers of the non-zero elements (size nnz)
value	n-origin value, which stores the non-zero elements (size nnz)

Note

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

◆ tensor_COO() [6/7]

template<typename Float >

monolish::tensor::tensor_COO< Float >::tensor_COO ( const tensor_COO< Float > & coo )

Create tensor_COO tensor from tensor_COO tensor.

Parameters

tens	input tensor_COO tensor

Note

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

◆ tensor_COO() [7/7]

template<typename Float >

monolish::tensor::tensor_COO< Float >::tensor_COO	(	const tensor_COO< Float > &	coo,
		Float	value
	)

Initialize tensor_COO tensor of the same size as input tensor.

Parameters

tens	input tensor_COO tensor
value	the value to initialize elements

Note

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

Member Function Documentation

◆ _q_sort()

template<typename Float >

void monolish::tensor::tensor_COO< Float >::_q_sort	(	int	lo,
		int	hi
	)

private

◆ at() [1/2]

template<typename Float >

Float monolish::tensor::tensor_COO< Float >::at ( const std::vector< size_t > & pos )

inline

get element A[pos[0]][pos[1]]... (onlu CPU)

Parameters

pos	std::vector position

Returns: A[pos[0]][pos[1]]...

Note

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

Definition at line 192 of file monolish_tensor_coo.hpp.

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◆ at() [2/2]

template<typename Float >

Float monolish::tensor::tensor_COO< Float >::at ( const std::vector< size_t > & pos ) const

get element A[pos[0]][pos[1]]...

Parameters

pos	std::vector position

Returns: A[pos[0]][pos[1]]...

Note

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

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◆ begin() [1/2]

template<typename Float >

Float* monolish::tensor::tensor_COO< Float >::begin ( )

inline

returns a begin iterator

Returns: begin iterator

Note

# of computation: 1

Definition at line 353 of file monolish_tensor_coo.hpp.

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◆ begin() [2/2]

template<typename Float >

const Float* monolish::tensor::tensor_COO< Float >::begin ( ) const

inline

returns a begin iterator

Returns: begin iterator

Note

# of computation: 1

Definition at line 345 of file monolish_tensor_coo.hpp.

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◆ convert()

template<typename Float >

void monolish::tensor::tensor_COO< Float >::convert ( const tensor::tensor_Dense< Float > & tens )

Create tensor_COO tensor from tensor_Dense tensor.

Parameters

tens	input tensor_Dense tensor

Note

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

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◆ data() [1/2]

template<typename Float >

Float* monolish::tensor::tensor_COO< Float >::data ( )

inline

returns a direct pointer to the tensor

Returns: A pointer to the first element

Note

# of computation: 1

Definition at line 297 of file monolish_tensor_coo.hpp.

◆ data() [2/2]

template<typename Float >

const Float* monolish::tensor::tensor_COO< Float >::data ( ) const

inline

returns a direct pointer to the tensor

Returns: A const pointer to the first element

Note

# of computation: 1

Definition at line 289 of file monolish_tensor_coo.hpp.

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◆ diag() [1/4]

template<typename Float >

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

◆ diag() [3/4]

template<typename Float >

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

◆ diag() [4/4]

template<typename Float >

void monolish::tensor::tensor_COO< Float >::diag ( view1D< vector< Float >, Float > & vec ) const

◆ end() [1/2]

template<typename Float >

Float* monolish::tensor::tensor_COO< Float >::end ( )

inline

returns a end iterator

Returns: end iterator

Note

# of computation: 1

Definition at line 369 of file monolish_tensor_coo.hpp.

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◆ end() [2/2]

template<typename Float >

const Float* monolish::tensor::tensor_COO< Float >::end ( ) const

inline

returns a end iterator

Returns: end iterator

Note

# of computation: 1

Definition at line 361 of file monolish_tensor_coo.hpp.

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◆ equal()

template<typename Float >

bool monolish::tensor::tensor_COO< Float >::equal	(	const tensor_COO< Float > &	tens,
		bool	compare_cpu_and_device = `false`
	)		const

Comparing tensors (A == tens)

Parameters

tens	tensor_COO tensor
compare_cpu_and_device	compare data on both CPU and GPU

Returns: true or false

Note

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

◆ fill()

template<typename Float >

void monolish::tensor::tensor_COO< Float >::fill ( Float value )

fill tensor elements with a scalar value

Parameters

value scalar value

Note

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

◆ get_data_size()

template<typename Float >

double monolish::tensor::tensor_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 168 of file monolish_tensor_coo.hpp.

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◆ get_device_mem_stat()

template<typename Float >

bool monolish::tensor::tensor_COO< Float >::get_device_mem_stat ( ) const

inline

true: sended, false: not send

Returns: gpu status

Definition at line 281 of file monolish_tensor_coo.hpp.

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◆ get_index() [1/2]

template<typename Float >

std::vector<size_t> monolish::tensor::tensor_COO< Float >::get_index ( const size_t pos )

inline

get vector index from aligned index (A[pos[0]][pos[1]]... = A[ind])

Parameters

pos	position (scalar)

Returns: vector position

Note

# of computation: shape size
Multi-threading: false
GPU acceleration: false

Definition at line 481 of file monolish_tensor_coo.hpp.

◆ get_index() [2/2]

template<typename Float >

size_t monolish::tensor::tensor_COO< Float >::get_index ( const std::vector< size_t > & pos )

inline

get aligned index from vector index (A[pos] = A[ind[0]][ind[1]]...)

Parameters

pos	position (std::vector)

Returns: aligned position

Note

# of computation: shape size
Multi-threading: false
GPU acceleration: false

Definition at line 460 of file monolish_tensor_coo.hpp.

◆ get_nnz()

template<typename Float >

size_t monolish::tensor::tensor_COO< Float >::get_nnz ( ) const

inline

get # of non-zeros

Note

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

Definition at line 256 of file monolish_tensor_coo.hpp.

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◆ get_shape()

template<typename Float >

std::vector<size_t> monolish::tensor::tensor_COO< Float >::get_shape ( ) const

inline

get shape

Note

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

Definition at line 247 of file monolish_tensor_coo.hpp.

◆ insert()

template<typename Float >

void monolish::tensor::tensor_COO< Float >::insert	(	const std::vector< size_t > &	pos,
		const Float	val
	)

insert element A[pos[0]][pos[1]]...

Parameters

pos	std::vector position
val	scalar value

Note

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

◆ operator!=()

template<typename Float >

bool monolish::tensor::tensor_COO< Float >::operator!= ( const tensor_COO< Float > & tens ) const

Comparing tensors (A != tens)

Parameters

tens	tensor_COO tensor

Returns: true or false

Note

# of computation: size
Multi-threading: true
GPU acceleration: true
- if gpu_status == true; compare data on GPU
- else; compare data on CPU

◆ operator=()

template<typename Float >

void monolish::tensor::tensor_COO< Float >::operator= ( const tensor_COO< Float > & tens )

tensor copy

Parameters

tens	COO tensor

Note

# of computation: size
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::tensor::tensor_COO< Float >::operator== ( const tensor_COO< Float > & tens ) const

Comparing tensors (A == tens)

Parameters

tens	tensor_COO tensor

Returns: true or false

Note

# of computation: size
Multi-threading: true
GPU acceleration: true
- if gpu_status == true; compare data on GPU
- else; compare data on CPU

◆ operator[]()

template<typename Float >

Float& monolish::tensor::tensor_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 405 of file monolish_tensor_coo.hpp.

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◆ print_all() [1/2]

template<typename Float >

void monolish::tensor::tensor_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::tensor::tensor_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

◆ resize()

template<typename Float >

void monolish::tensor::tensor_COO< Float >::resize	(	const size_t	N,
		Float	Val = `0`
	)

inline

resize tensor value

Parameters

N	tensor size

Note

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

Definition at line 307 of file monolish_tensor_coo.hpp.

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◆ set_ptr() [1/3]

template<typename Float >

void monolish::tensor::tensor_COO< Float >::set_ptr	(	const std::vector< size_t > &	shape,
		const std::vector< std::vector< size_t >> &	index,
		const size_t	vsize,
		const Float *	v
	)

Set tensor_COO array from array.

Parameters

shape	shape of tensor
indix	index fo tensor
vsize	size of value
v	value

Note

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

◆ set_ptr() [2/3]

template<typename Float >

void monolish::tensor::tensor_COO< Float >::set_ptr	(	const std::vector< size_t > &	shape,
		const std::vector< std::vector< size_t >> &	index,
		const size_t	vsize,
		const Float	v
	)

Set tensor_COO array from array.

Parameters

shape	shape of tensor
indix	index fo tensor
vsize	size of value
v	value

Note

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

◆ set_ptr() [3/3]

template<typename Float >

void monolish::tensor::tensor_COO< Float >::set_ptr	(	const std::vector< size_t > &	shape,
		const std::vector< std::vector< size_t >> &	index,
		const std::vector< Float > &	v
	)

Set tensor_COO array from std::vector.

Parameters

shape	shape of tensor
indix	index fo tensor
v	value

Note

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

◆ set_shape()

template<typename Float >

void monolish::tensor::tensor_COO< Float >::set_shape ( const std::vector< size_t > & shape )

inline

Set shape.

Parameters

shape

shape of tensor

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

Definition at line 275 of file monolish_tensor_coo.hpp.

◆ sort()

template<typename Float >

void monolish::tensor::tensor_COO< Float >::sort ( bool merge )

sort tensor_COO tensor 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

◆ type()

template<typename Float >

std::string monolish::tensor::tensor_COO< Float >::type ( ) const

inline

get format name "tensor_COO"

Note

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

Definition at line 337 of file monolish_tensor_coo.hpp.

Member Data Documentation

◆ alloc_nnz

template<typename Float >

std::size_t monolish::tensor::tensor_COO< Float >::alloc_nnz = 0

alloced matrix size

Definition at line 44 of file monolish_tensor_coo.hpp.

◆ gpu_status

template<typename Float >

bool monolish::tensor::tensor_COO< Float >::gpu_status = false

mutableprivate

true: sended, false: not send

Definition at line 21 of file monolish_tensor_coo.hpp.

◆ index

template<typename Float >

std::vector<std::vector<size_t> > monolish::tensor::tensor_COO< Float >::index

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

Definition at line 28 of file monolish_tensor_coo.hpp.

◆ shape

template<typename Float >

std::vector<size_t> monolish::tensor::tensor_COO< Float >::shape

private

shape

Definition at line 16 of file monolish_tensor_coo.hpp.

◆ val

template<typename Float >

std::shared_ptr<Float> monolish::tensor::tensor_COO< Float >::val

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

Definition at line 34 of file monolish_tensor_coo.hpp.

◆ val_create_flag

template<typename Float >

bool monolish::tensor::tensor_COO< Float >::val_create_flag = false

matrix create flag;

Definition at line 49 of file monolish_tensor_coo.hpp.

◆ val_nnz

template<typename Float >

size_t monolish::tensor::tensor_COO< Float >::val_nnz = 0

# of non-zero element

Definition at line 39 of file monolish_tensor_coo.hpp.

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

Public Member Functions

Public Attributes

Private Member Functions

Private Attributes

Detailed Description

template<typename Float> class monolish::tensor::tensor_COO< Float >

Constructor & Destructor Documentation

◆ tensor_COO() [1/7]

◆ tensor_COO() [2/7]

◆ tensor_COO() [3/7]

◆ tensor_COO() [4/7]

◆ tensor_COO() [5/7]

◆ tensor_COO() [6/7]

◆ tensor_COO() [7/7]

Member Function Documentation

◆ _q_sort()

◆ at() [1/2]

◆ at() [2/2]

◆ begin() [1/2]

◆ begin() [2/2]

◆ convert()

◆ data() [1/2]

◆ data() [2/2]

◆ diag() [1/4]

◆ diag() [2/4]

◆ diag() [3/4]

◆ diag() [4/4]

◆ end() [1/2]

◆ end() [2/2]

◆ equal()

◆ fill()

◆ get_data_size()

◆ get_device_mem_stat()

◆ get_index() [1/2]

◆ get_index() [2/2]

◆ get_nnz()

◆ get_shape()

◆ insert()

◆ operator!=()

◆ operator=()

◆ operator==()

◆ operator[]()

◆ print_all() [1/2]

◆ print_all() [2/2]

◆ resize()

◆ set_ptr() [1/3]

◆ set_ptr() [2/3]

◆ set_ptr() [3/3]

◆ set_shape()

◆ sort()

◆ type()

Member Data Documentation

◆ alloc_nnz

◆ gpu_status

◆ index

◆ shape

◆ val

◆ val_create_flag

◆ val_nnz

template<typename Float>
class monolish::tensor::tensor_COO< Float >