#include <monolish_tensor_dense.hpp>

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

Public Member Functions
template<typename... Args>
Float	at (const size_t dim, const Args... args)
	get element A[pos[0]][pos[1]]... (onlu CPU) More...

template<typename... Args>
Float	at (const size_t dim, const Args... args) const
	get element A[pos[0]][pos[1]]... More...

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...

template<typename... Args>
Float	at (const std::vector< size_t > &pos, const Args... args)
	get element A[pos[0]][pos[1]]... (onlu CPU) More...

template<typename... Args>
Float	at (const std::vector< size_t > &pos, const size_t dim, const Args... args) const
	get element A[pos[0]][pos[1]]... More...

void	convert (const matrix::Dense< Float > &dense)
	create tensor_Dense tensor from Dense matrix More...

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

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

void	convert (const vector< Float > &vec)
	create tensor_Dense tensor from vector More...

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

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

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

void	diag_add (const Float alpha)
	Scalar and diag. vector of Dense format matrix add. More...

void	diag_add (const vector< Float > &vec)
	Vector and diag. vector of Dense format matrix add. More...

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

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

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

void	diag_div (const Float alpha)
	Scalar and diag. vector of Dense format matrix div. More...

void	diag_div (const vector< Float > &vec)
	Vector and diag. vector of Dense format matrix div. More...

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

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

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

void	diag_mul (const Float alpha)
	Scalar and diag. vector of Dense format matrix mul. More...

void	diag_mul (const vector< Float > &vec)
	Vector and diag. vector of Dense format matrix mul. More...

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

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

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

void	diag_sub (const Float alpha)
	Scalar and diag. vector of Dense format matrix sub. More...

void	diag_sub (const vector< Float > &vec)
	Vector and diag. vector of Dense format matrix sub. More...

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

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

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

bool	equal (const tensor_Dense< 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) const
	get vector index from aligned index (A[pos[0]][pos[1]]... = A[ind]) More...

size_t	get_index (const std::vector< size_t > &pos) const
	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)
	set element A[pos[0]][pos[1]]... More...

void	move (const matrix::Dense< Float > &dense)
	move tensor_Dense tensor from Dense matrix More...

void	move (const vector< Float > &vec)
	move tensor_Dense tensor from vector More...

void	nonfree_recv ()
	recv. data to GPU (w/o free) More...

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

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

bool	operator== (const tensor_Dense< 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	recv ()
	recv. data to GPU, and free data on GPU More...

template<typename... Args>
void	reshape (const int dim, const Args... args)
	Reshape tensor. More...

void	reshape (const std::vector< int > &shape)
	Reshape tensor. More...

template<typename... Args>
void	reshape (const std::vector< int > &shape, const size_t dim, const Args... args)
	Reshape tensor. More...

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

void	resize (const std::vector< size_t > &shape, Float val=0)
	resize tensor value More...

void	send () const
	send data to GPU More...

void	set_ptr (const std::vector< size_t > &shape, const Float *value)
	Set tensor_Dense array from array. More...

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

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

	tensor_Dense ()

	tensor_Dense (const matrix::Dense< Float > &dense)
	Create tensor_Dense tensor from Dense matrix. More...

	tensor_Dense (const std::vector< size_t > &shape)
	Allocate dense tensor. More...

	tensor_Dense (const std::vector< size_t > &shape, const Float *value)
	Allocate dense tensor. More...

	tensor_Dense (const std::vector< size_t > &shape, const Float min, const Float max)
	Allocate tensor_Dense tensor. More...

	tensor_Dense (const std::vector< size_t > &shape, const Float min, const Float max, const std::uint32_t seed)
	Allocate tensor_Dense tensor. More...

	tensor_Dense (const std::vector< size_t > &shape, const std::vector< Float > &value)
	Allocate tensor_Dense tensor. More...

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

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

	tensor_Dense (const tensor_Dense< Float > &tens, Float value)
	Create tensor_Dense tensor of the same size as input tensor. More...

	tensor_Dense (const vector< Float > &vec)
	create tensor_Dense tensor from vector More...

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

	~tensor_Dense ()
	destructor of dense tensor, free GPU memory More...

Public Attributes
size_t	alloc_nnz = 0
	allocated tensor size More...

std::shared_ptr< Float >	val
	Dense tensor format value (pointer) More...

bool	val_create_flag = false
	tensor create flag More...

size_t	val_nnz = 0
	# of non-zero element (M * N) More...

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_Dense< Float >

Definition at line 11 of file monolish_tensor_dense.hpp.

Constructor & Destructor Documentation

◆ tensor_Dense() [1/11]

template<typename Float >

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

inline

Definition at line 44 of file monolish_tensor_dense.hpp.

◆ tensor_Dense() [2/11]

template<typename Float >

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

Create tensor_Dense tensor from tensor_Dense tensor.

Parameters

tens	tensor_Dense format tensor

Note

# of computation: size
Multi-threading: true
GPU acceleration: true
- # of data transfer: size (only allocation)
  - if dense.gpu_status == true; coping data on CPU and GPU respectively
  - else; coping data only on CPU

◆ tensor_Dense() [3/11]

template<typename Float >

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

inline

Create tensor_Dense tensor from tensor_COO tensor.

Parameters

tens	input tensor_COO tensor

Note

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

Definition at line 88 of file monolish_tensor_dense.hpp.

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◆ tensor_Dense() [4/11]

template<typename Float >

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

inline

Create tensor_Dense tensor from Dense matrix.

Parameters

dense

input Dense matrix (size M x N)

# of computation: M*N
Multi-threading: true
GPU acceleration: false

Definition at line 109 of file monolish_tensor_dense.hpp.

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◆ tensor_Dense() [5/11]

template<typename Float >

monolish::tensor::tensor_Dense< Float >::tensor_Dense ( const vector< Float > & vec )

inline

create tensor_Dense tensor from vector

Parameters

vec	input vector (size M) # of computation: M Multi-threading: true GPU acceleration: false

Definition at line 130 of file monolish_tensor_dense.hpp.

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◆ tensor_Dense() [6/11]

template<typename Float >

monolish::tensor::tensor_Dense< Float >::tensor_Dense ( const std::vector< size_t > & shape )

Allocate dense tensor.

Parameters

shape shape of tensor

Note

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

◆ tensor_Dense() [7/11]

template<typename Float >

monolish::tensor::tensor_Dense< Float >::tensor_Dense	(	const std::vector< size_t > &	shape,
		const Float *	value
	)

Allocate dense tensor.

Parameters

shape shape of tensor

Note

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

◆ tensor_Dense() [8/11]

template<typename Float >

monolish::tensor::tensor_Dense< Float >::tensor_Dense	(	const std::vector< size_t > &	shape,
		const std::vector< Float > &	value
	)

Allocate tensor_Dense tensor.

Parameters

shape	shape of tensor
value	value std::vector

Note

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

◆ tensor_Dense() [9/11]

template<typename Float >

monolish::tensor::tensor_Dense< Float >::tensor_Dense	(	const std::vector< size_t > &	shape,
		const Float	min,
		const Float	max
	)

Allocate tensor_Dense tensor.

Parameters

shape	shape of tensor
min	rand min
max	rand max

Note

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

◆ tensor_Dense() [10/11]

template<typename Float >

monolish::tensor::tensor_Dense< Float >::tensor_Dense	(	const std::vector< size_t > &	shape,
		const Float	min,
		const Float	max,
		const std::uint32_t	seed
	)

Allocate tensor_Dense tensor.

Parameters

shape	shape of tensor
min	rand min
max	rand max
seed	random seed

Note

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

◆ tensor_Dense() [11/11]

template<typename Float >

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

Create tensor_Dense tensor of the same size as input tensor.

Parameters

tens	input tensor_Dense tensor
value	the value to initialize elements

Note

# of computation: size
Multi-threading: true
GPU acceleration: true
- # of data transfer: size (only allocation)
  - if dense.gpu_status == true; coping data on CPU and GPU respectively
  - else; coping data only on CPU

◆ ~tensor_Dense()

template<typename Float >

monolish::tensor::tensor_Dense< Float >::~tensor_Dense ( )

inline

destructor of dense tensor, free GPU memory

Note

Multi-threading: false
GPU acceleration: true
- # of data transfer: 0

Definition at line 437 of file monolish_tensor_dense.hpp.

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Member Function Documentation

◆ at() [1/6]

template<typename Float >

template<typename... Args>

Float monolish::tensor::tensor_Dense< Float >::at	(	const size_t	dim,
		const Args...	args
	)

inline

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

Parameters

pos	std::vector position

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

Note

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

Definition at line 361 of file monolish_tensor_dense.hpp.

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◆ at() [2/6]

template<typename Float >

template<typename... Args>

Float monolish::tensor::tensor_Dense< Float >::at	(	const size_t	dim,
		const Args...	args
	)		const

inline

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

Parameters

pos	std::vector position

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

Note

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

Definition at line 318 of file monolish_tensor_dense.hpp.

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◆ at() [3/6]

template<typename Float >

Float monolish::tensor::tensor_Dense< 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: 1
Multi-threading: false
GPU acceleration: false

Definition at line 333 of file monolish_tensor_dense.hpp.

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◆ at() [4/6]

template<typename Float >

Float monolish::tensor::tensor_Dense< 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: 1
Multi-threading: false
GPU acceleration: false

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◆ at() [5/6]

template<typename Float >

template<typename... Args>

Float monolish::tensor::tensor_Dense< Float >::at	(	const std::vector< size_t > &	pos,
		const Args...	args
	)

inline

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

Parameters

pos	std::vector position

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

Note

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

Definition at line 347 of file monolish_tensor_dense.hpp.

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◆ at() [6/6]

template<typename Float >

template<typename... Args>

Float monolish::tensor::tensor_Dense< Float >::at	(	const std::vector< size_t > &	pos,
		const size_t	dim,
		const Args...	args
	)		const

inline

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

Parameters

pos	std::vector position

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

Note

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

Definition at line 301 of file monolish_tensor_dense.hpp.

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◆ convert() [1/4]

template<typename Float >

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

create tensor_Dense tensor from Dense matrix

Parameters

dense

input Dense matrix (size M x N)

# of computation: M*N
Multi-threading: true
GPU acceleration: false

◆ convert() [2/4]

template<typename Float >

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

Create tensor_Dense tensor from tensor_COO tensor.

Parameters

tens	input tensor_Dense tensor

Note

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

◆ convert() [3/4]

template<typename Float >

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

Create tensor_Dense tensor from tensor_Dense tensor.

Parameters

tens	input tensor_Dense tensor

Note

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

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◆ convert() [4/4]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::convert ( const vector< Float > & vec )

create tensor_Dense tensor from vector

Parameters

vec	input vector (size M) # of computation: M Multi-threading: true GPU acceleration: false

◆ data() [1/2]

template<typename Float >

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

inline

returns a direct pointer to the tensor

Returns: A pointer to the first element

Note

# of computation: 1

Definition at line 459 of file monolish_tensor_dense.hpp.

◆ data() [2/2]

template<typename Float >

const Float* monolish::tensor::tensor_Dense< 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 451 of file monolish_tensor_dense.hpp.

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◆ device_free()

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::device_free ( ) const

free data on GPU

Note

Multi-threading: false
GPU acceleration: true
- # of data transfer: 0

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◆ diag_add() [1/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_add ( const Float alpha )

Scalar and diag. vector of Dense format matrix add.

Parameters

alpha scalar

Note

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

◆ diag_add() [2/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_add ( const vector< Float > & vec )

Vector and diag. vector of Dense format matrix add.

Parameters

vec vector

Note

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

◆ diag_add() [3/5]

template<typename Float >

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

◆ diag_add() [4/5]

template<typename Float >

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

◆ diag_add() [5/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_add ( const view1D< vector< Float >, Float > & vec )

◆ diag_div() [1/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_div ( const Float alpha )

Scalar and diag. vector of Dense format matrix div.

Parameters

alpha scalar

Note

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

◆ diag_div() [2/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_div ( const vector< Float > & vec )

Vector and diag. vector of Dense format matrix div.

Parameters

vec vector

Note

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

◆ diag_div() [3/5]

template<typename Float >

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

◆ diag_div() [4/5]

template<typename Float >

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

◆ diag_div() [5/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_div ( const view1D< vector< Float >, Float > & vec )

◆ diag_mul() [1/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_mul ( const Float alpha )

Scalar and diag. vector of Dense format matrix mul.

Parameters

alpha scalar

Note

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

◆ diag_mul() [2/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_mul ( const vector< Float > & vec )

Vector and diag. vector of Dense format matrix mul.

Parameters

vec vector

Note

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

◆ diag_mul() [3/5]

template<typename Float >

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

◆ diag_mul() [4/5]

template<typename Float >

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

◆ diag_mul() [5/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_mul ( const view1D< vector< Float >, Float > & vec )

◆ diag_sub() [1/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_sub ( const Float alpha )

Scalar and diag. vector of Dense format matrix sub.

Parameters

alpha scalar

Note

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

◆ diag_sub() [2/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_sub ( const vector< Float > & vec )

Vector and diag. vector of Dense format matrix sub.

Parameters

vec vector

Note

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

◆ diag_sub() [3/5]

template<typename Float >

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

◆ diag_sub() [4/5]

template<typename Float >

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

◆ diag_sub() [5/5]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::diag_sub ( const view1D< vector< Float >, Float > & vec )

◆ equal()

template<typename Float >

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

Comparing tensors (A == tens)

Parameters

tens	tensor_Dense 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_Dense< Float >::fill ( Float value )

fill tensor elements with a scalar value

Parameters

value scalar value

Note

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

◆ get_data_size()

template<typename Float >

double monolish::tensor::tensor_Dense< 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 276 of file monolish_tensor_dense.hpp.

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◆ get_device_mem_stat()

template<typename Float >

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

inline

true: sended, false: not send

Returns: gpu status

Definition at line 428 of file monolish_tensor_dense.hpp.

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◆ get_index() [1/2]

template<typename Float >

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

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 630 of file monolish_tensor_dense.hpp.

◆ get_index() [2/2]

template<typename Float >

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

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 609 of file monolish_tensor_dense.hpp.

◆ get_nnz()

template<typename Float >

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

inline

get # of non-zeros

Note

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

Definition at line 248 of file monolish_tensor_dense.hpp.

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◆ get_shape()

template<typename Float >

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

inline

get shape

Note

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

Definition at line 239 of file monolish_tensor_dense.hpp.

◆ insert()

template<typename Float >

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

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

Parameters

pos	std::vector position
Val	scalar value

Note

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

◆ move() [1/2]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::move ( const matrix::Dense< Float > & dense )

move tensor_Dense tensor from Dense matrix

Parameters

dense

input Dense matrix (size M x N)

# of computation: 1

◆ move() [2/2]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::move ( const vector< Float > & vec )

move tensor_Dense tensor from vector

Parameters

vec	input vector (size M) # of computation: 1

◆ nonfree_recv()

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::nonfree_recv ( )

recv. data to GPU (w/o free)

Note

Multi-threading: false
GPU acceleration: true
- # of data transfer: size

◆ operator!=()

template<typename Float >

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

Comparing tensors (A != tens)

Parameters

tens	tensor_Dense 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_Dense< Float >::operator= ( const tensor_Dense< Float > & tens )

tensor copy

Parameters

tens	Dense tensor

Returns: copied dense tensor

Note

# of computation: size
Multi-threading: true
GPU acceleration: true
- # of data transfer: 0
  - if gpu_statius == true; coping data on CPU
  - else; coping data on CPU

◆ operator==()

template<typename Float >

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

Comparing tensors (A == tens)

Parameters

tens	tensor_Dense 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_Dense< 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 554 of file monolish_tensor_dense.hpp.

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◆ print_all()

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::print_all ( bool force_cpu = false ) const

print all elements to standard I/O

Parameters

force_cpu Ignore device status and output CPU data

Note

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

◆ recv()

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::recv ( )

recv. data to GPU, and free data on GPU

Note

Multi-threading: false
GPU acceleration: true
- # of data transfer: size

◆ reshape() [1/3]

template<typename Float >

template<typename... Args>

void monolish::tensor::tensor_Dense< Float >::reshape	(	const int	dim,
		const Args...	args
	)

inline

Reshape tensor.

Parameters

shape

Note

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

Definition at line 675 of file monolish_tensor_dense.hpp.

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◆ reshape() [2/3]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::reshape ( const std::vector< int > & shape )

Reshape tensor.

Parameters

shape

Note

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

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◆ reshape() [3/3]

template<typename Float >

template<typename... Args>

void monolish::tensor::tensor_Dense< Float >::reshape	(	const std::vector< int > &	shape,
		const size_t	dim,
		const Args...	args
	)

inline

Reshape tensor.

Parameters

shape

Note

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

Definition at line 659 of file monolish_tensor_dense.hpp.

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◆ resize() [1/2]

template<typename Float >

void monolish::tensor::tensor_Dense< 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 469 of file monolish_tensor_dense.hpp.

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◆ resize() [2/2]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::resize	(	const std::vector< size_t > &	shape,
		Float	val = `0`
	)

inline

resize tensor value

Parameters

shape tensor shape

Note

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

Definition at line 498 of file monolish_tensor_dense.hpp.

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◆ send()

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::send ( ) const

send data to GPU

Note

Multi-threading: false
GPU acceleration: true
- # of data transfer: size

◆ set_ptr() [1/2]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::set_ptr	(	const std::vector< size_t > &	shape,
		const Float *	value
	)

Set tensor_Dense array from array.

Parameters

shape	shape of tensor
value	value (size nnz)

Note

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

◆ set_ptr() [2/2]

template<typename Float >

void monolish::tensor::tensor_Dense< Float >::set_ptr	(	const std::vector< size_t > &	shape,
		const std::vector< Float > &	value
	)

Set tensor_Dense array from std::vector.

Parameters

shape	shape of tensor
value	value (size nnz)

Note

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

◆ set_shape()

template<typename Float >

void monolish::tensor::tensor_Dense< 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 257 of file monolish_tensor_dense.hpp.

◆ type()

template<typename Float >

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

inline

get format name "tensor_Dense"

Note

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

Definition at line 266 of file monolish_tensor_dense.hpp.

Member Data Documentation

◆ alloc_nnz

template<typename Float >

size_t monolish::tensor::tensor_Dense< Float >::alloc_nnz = 0

allocated tensor size

Definition at line 37 of file monolish_tensor_dense.hpp.

◆ gpu_status

template<typename Float >

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

mutableprivate

true: sended, false: not send

Definition at line 21 of file monolish_tensor_dense.hpp.

◆ shape

template<typename Float >

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

private

shape

Definition at line 16 of file monolish_tensor_dense.hpp.

◆ val

template<typename Float >

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

Dense tensor format value (pointer)

Definition at line 27 of file monolish_tensor_dense.hpp.

◆ val_create_flag

template<typename Float >

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

tensor create flag

Definition at line 42 of file monolish_tensor_dense.hpp.

◆ val_nnz

template<typename Float >

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

# of non-zero element (M * N)

Definition at line 32 of file monolish_tensor_dense.hpp.

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

Public Member Functions

Public Attributes

Private Attributes

Detailed Description

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

Constructor & Destructor Documentation

◆ tensor_Dense() [1/11]

◆ tensor_Dense() [2/11]

◆ tensor_Dense() [3/11]

◆ tensor_Dense() [4/11]

◆ tensor_Dense() [5/11]

◆ tensor_Dense() [6/11]

◆ tensor_Dense() [7/11]

◆ tensor_Dense() [8/11]

◆ tensor_Dense() [9/11]

◆ tensor_Dense() [10/11]

◆ tensor_Dense() [11/11]

◆ ~tensor_Dense()

Member Function Documentation

◆ at() [1/6]

◆ at() [2/6]

◆ at() [3/6]

◆ at() [4/6]

◆ at() [5/6]

◆ at() [6/6]

◆ convert() [1/4]

◆ convert() [2/4]

◆ convert() [3/4]

◆ convert() [4/4]

◆ data() [1/2]

◆ data() [2/2]

◆ device_free()

◆ diag_add() [1/5]

◆ diag_add() [2/5]

◆ diag_add() [3/5]

◆ diag_add() [4/5]

◆ diag_add() [5/5]

◆ diag_div() [1/5]

◆ diag_div() [2/5]

◆ diag_div() [3/5]

◆ diag_div() [4/5]

◆ diag_div() [5/5]

◆ diag_mul() [1/5]

◆ diag_mul() [2/5]

◆ diag_mul() [3/5]

◆ diag_mul() [4/5]

◆ diag_mul() [5/5]

◆ diag_sub() [1/5]

◆ diag_sub() [2/5]

◆ diag_sub() [3/5]

◆ diag_sub() [4/5]

◆ diag_sub() [5/5]

◆ equal()

◆ fill()

◆ get_data_size()

◆ get_device_mem_stat()

◆ get_index() [1/2]

◆ get_index() [2/2]

◆ get_nnz()

◆ get_shape()

◆ insert()

◆ move() [1/2]

◆ move() [2/2]

◆ nonfree_recv()

◆ operator!=()

◆ operator=()

◆ operator==()

◆ operator[]()

◆ print_all()

◆ recv()

◆ reshape() [1/3]

◆ reshape() [2/3]

◆ reshape() [3/3]

◆ resize() [1/2]

◆ resize() [2/2]

◆ send()

◆ set_ptr() [1/2]

◆ set_ptr() [2/2]

◆ set_shape()

◆ type()

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