#include <monolish_coo.hpp>

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

Public Member Functions
Float	at (const size_t i, const size_t j)
	get element A[i][j] (only CPU) More...

Float	at (const size_t i, const size_t j) const
	get 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< vector< Float >, Float > &vec) const

void	convert (const COO< Float > &coo)
	Create Dense matrix from COO matrix. More...

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

	Dense ()

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

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

	Dense (const size_t M, const size_t N)
	Allocate dense matrix. More...

	Dense (const size_t M, const size_t N, const Float *value)
	Create dense matrix from array. More...

	Dense (const size_t M, const size_t N, const Float min, const Float max)
	Create random dense matrix from dense matrix. More...

	Dense (const size_t M, const size_t N, const Float value)
	Create construct dense matrix. More...

	Dense (const size_t M, const size_t N, const std::initializer_list< Float > &list)
	Create dense matrix from std::initializer_list. More...

	Dense (const size_t M, const size_t N, const std::vector< Float > &value)
	Create dense matrix from std::vector. More...

	Dense (const size_t M, const size_t N, const vector< Float > &value)
	Create dense matrix from monolish::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< vector< Float >, Float > &vec) const

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

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

void	diag_add (const view1D< matrix::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 matrix div. More...

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

void	diag_div (const view1D< matrix::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 matrix mul. More...

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

void	diag_mul (const view1D< matrix::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 matrix sub. More...

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

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

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

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

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

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

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

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

void	insert (const size_t i, const size_t j, const Float Val)
	get element A[i][j] More...

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

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

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

bool	operator== (const Dense< Float > &mat) const
	Comparing matricies (A == mat) More...

Float *	operator[] (size_t m)
	reference to the pointer of the begining of the m-th row 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...

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< vector< Float >, Float > &vec) const

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

void	set_col (const size_t M)
	Set column number. More...

void	set_nnz (const size_t NZ)
	Set # of non-zero elements. More...

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

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

Dense &	transpose ()
	get transposed matrix (A^T) More...

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

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

	~Dense ()
	destructor of CRS matrix, free GPU memory More...

Public Attributes
std::vector< Float >	val
	Dense format value(size M x N) More...

Private Attributes
size_t	colN
	# of col More...

bool	gpu_status = false
	true: sended, false: not send More...

size_t	nnz
	# of non-zero element (M * N) More...

size_t	rowN
	# of row More...

Detailed Description

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

Dense format Matrix.

Note

Multi-threading: true
GPU acceleration: true

Definition at line 35 of file monolish_coo.hpp.

Constructor & Destructor Documentation

◆ Dense() [1/10]

template<typename Float >

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

inline

Definition at line 49 of file monolish_dense.hpp.

◆ Dense() [2/10]

template<typename Float >

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

inline

Create dense matrix from COO matrix.

Parameters

coo	input COO matrix (size M x N)

Note

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

Definition at line 79 of file monolish_dense.hpp.

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◆ Dense() [3/10]

template<typename Float >

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

Create Dense matrix from Dense matrix.

Parameters

dense Dense format matrix

Note

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

◆ Dense() [4/10]

template<typename T >

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

Allocate dense matrix.

Parameters

M	# of row
N	# of col

Note

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

Definition at line 12 of file dense_constructor.cpp.

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◆ Dense() [5/10]

template<typename Float >

monolish::matrix::Dense< Float >::Dense	(	const size_t	M,
		const size_t	N,
		const Float *	value
	)

Create dense matrix from array.

Parameters

M	# of row
N	# of col
value	value array

Note

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

◆ Dense() [6/10]

template<typename Float >

monolish::matrix::Dense< Float >::Dense	(	const size_t	M,
		const size_t	N,
		const std::vector< Float > &	value
	)

Create dense matrix from std::vector.

Parameters

M	# of row
N	# of col
value	value std::vector (size M x N)

Note

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

◆ Dense() [7/10]

template<typename Float >

monolish::matrix::Dense< Float >::Dense	(	const size_t	M,
		const size_t	N,
		const vector< Float > &	value
	)

Create dense matrix from monolish::vector.

Parameters

M	# of row
N	# of col
value	value std::vector (size M x N)

Note

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

◆ Dense() [8/10]

template<typename Float >

monolish::matrix::Dense< Float >::Dense	(	const size_t	M,
		const size_t	N,
		const std::initializer_list< Float > &	list
	)

Create dense matrix from std::initializer_list.

Parameters

M	# of row
N	# of col
list	value std::initializer_list (size M x N)

Note

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

◆ Dense() [9/10]

template<typename Float >

monolish::matrix::Dense< Float >::Dense	(	const size_t	M,
		const size_t	N,
		const Float	min,
		const Float	max
	)

Create random dense matrix from dense matrix.

Parameters

M	# of row
N	# of col
min	rand min
max	rand max

Note

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

◆ Dense() [10/10]

template<typename Float >

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

Create construct dense matrix.

Parameters

M	# of row
N	# of col
value	value

Note

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

◆ ~Dense()

template<typename Float >

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

inline

destructor of CRS matrix, free GPU memory

Note

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

Definition at line 388 of file monolish_dense.hpp.

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Member Function Documentation

◆ at() [1/2]

template<typename Float >

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

inline

get element A[i][j] (only CPU)

Parameters

i	row
j	col

Returns: A[i][j]

Note

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

Definition at line 310 of file monolish_dense.hpp.

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◆ at() [2/2]

template<typename T >

template float monolish::matrix::Dense< Float >::at	(	const size_t	i,
		const size_t	j
	)		const

get element A[i][j]

Parameters

i	row
j	col

Returns: A[i][j]

Note

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

Definition at line 9 of file at_insert_sort_dense.cpp.

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◆ col() [1/3]

template<typename Float >

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

get column vector

Parameters

c	column number
vec	column vector

Note

# of computation: about nnz
Multi-threading: true
GPU acceleration: true

◆ col() [2/3]

template<typename Float >

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

◆ col() [3/3]

template<typename Float >

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

◆ convert() [1/2]

template<typename Float >

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

Create Dense matrix from COO matrix.

Parameters

coo	input COO matrix (size M x N)

Note

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

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◆ convert() [2/2]

template<typename Float >

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

Create Dense matrix from Dense matrix.

Parameters

dense input Dense matrix (size M x N)

Note

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

◆ device_free()

template<typename T >

template void monolish::matrix::Dense< Float >::device_free ( ) const

free data on GPU

Note

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

Definition at line 238 of file gpu_comm.cpp.

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◆ diag() [1/3]

template<typename Float >

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

get diag. vector

Parameters

vec	diag. vector

Note

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

◆ diag() [2/3]

template<typename Float >

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

◆ diag() [3/3]

template<typename Float >

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

◆ diag_add() [1/4]

template<typename Float >

void monolish::matrix::Dense< Float >::diag_add ( const Float alpha )

Scalar and diag. vector of dense matrix add.

Parameters

alpha scalar

Note

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

◆ diag_add() [2/4]

template<typename Float >

void monolish::matrix::Dense< Float >::diag_add ( const vector< Float > & vec )

Vector and diag. vector of dense matrix add.

Parameters

vec vector

Note

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

◆ diag_add() [3/4]

template<typename Float >

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

◆ diag_add() [4/4]

template<typename Float >

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

◆ diag_div() [1/4]

template<typename Float >

void monolish::matrix::Dense< Float >::diag_div ( const Float alpha )

Scalar and diag. vector of dense matrix div.

Parameters

alpha scalar

Note

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

◆ diag_div() [2/4]

template<typename Float >

void monolish::matrix::Dense< Float >::diag_div ( const vector< Float > & vec )

Vector and diag. vector of dense matrix div.

Parameters

vec vector

Note

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

◆ diag_div() [3/4]

template<typename Float >

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

◆ diag_div() [4/4]

template<typename Float >

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

◆ diag_mul() [1/4]

template<typename Float >

void monolish::matrix::Dense< Float >::diag_mul ( const Float alpha )

Scalar and diag. vector of dense matrix mul.

Parameters

alpha scalar

Note

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

◆ diag_mul() [2/4]

template<typename Float >

void monolish::matrix::Dense< Float >::diag_mul ( const vector< Float > & vec )

Vector and diag. vector of dense matrix mul.

Parameters

vec vector

Note

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

◆ diag_mul() [3/4]

template<typename Float >

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

◆ diag_mul() [4/4]

template<typename Float >

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

◆ diag_sub() [1/4]

template<typename Float >

void monolish::matrix::Dense< Float >::diag_sub ( const Float alpha )

Scalar and diag. vector of dense matrix sub.

Parameters

alpha scalar

Note

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

◆ diag_sub() [2/4]

template<typename Float >

void monolish::matrix::Dense< Float >::diag_sub ( const vector< Float > & vec )

Vector and diag. vector of dense matrix sub.

Parameters

vec vector

Note

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

◆ diag_sub() [3/4]

template<typename Float >

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

◆ diag_sub() [4/4]

template<typename Float >

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

◆ equal()

template<typename Float >

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

Comparing matricies (A == mat)

Parameters

mat	Dense matrix
compare_cpu_and_device	compare data on both CPU and GPU

Returns: true or false

Note

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

Definition at line 10 of file compare_dense.cpp.

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◆ fill()

template<typename Float >

template void monolish::matrix::Dense< 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

Definition at line 9 of file fill_dense.cpp.

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◆ get_col()

template<typename Float >

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

inline

get # of col

Note

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

Definition at line 208 of file monolish_dense.hpp.

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◆ get_data_size()

template<typename Float >

double monolish::matrix::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 284 of file monolish_dense.hpp.

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◆ get_device_mem_stat()

template<typename Float >

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

inline

true: sended, false: not send

Returns: gpu status

Definition at line 379 of file monolish_dense.hpp.

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◆ get_nnz()

template<typename Float >

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

inline

get # of non-zeros

Note

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

Definition at line 217 of file monolish_dense.hpp.

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◆ get_row()

template<typename Float >

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

inline

get # of row

Note

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

Definition at line 199 of file monolish_dense.hpp.

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◆ insert()

template<typename Float >

template void monolish::matrix::Dense< Float >::insert	(	const size_t	i,
		const size_t	j,
		const Float	Val
	)

get element A[i][j]

Parameters

i	row
j	col
Val	scalar value

Returns: A[i][j]

Note

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

Definition at line 25 of file at_insert_sort_dense.cpp.

◆ nonfree_recv()

template<typename T >

template void monolish::matrix::Dense< Float >::nonfree_recv ( )

recv. data to GPU (w/o free)

Note

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

Definition at line 222 of file gpu_comm.cpp.

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◆ operator!=()

template<typename Float >

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

Comparing matricies (A != mat)

Parameters

mat	Dense matrix

Returns: true or false

Note

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

Definition at line 55 of file compare_dense.cpp.

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◆ operator=()

template<typename Float >

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

matrix copy

Returns: copied dense matrix

Note

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

Definition at line 10 of file copy_dense.cpp.

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◆ operator==()

template<typename Float >

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

Comparing matricies (A == mat)

Parameters

mat	Dense matrix

Returns: true or false

Note

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

Definition at line 43 of file compare_dense.cpp.

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◆ operator[]()

template<typename Float >

Float* monolish::matrix::Dense< Float >::operator[] ( size_t m )

inline

reference to the pointer of the begining of the m-th row

Parameters

m	Position of an pointer in the matrix

Returns: pointer at the begining of m-th row

Note

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

Warning: This function is only available for Dense.

Definition at line 469 of file monolish_dense.hpp.

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◆ print_all()

template<typename T >

template void monolish::matrix::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: M*N
Multi-threading: false
GPU acceleration: false

Definition at line 17 of file IO_dense.cpp.

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◆ recv()

template<typename T >

template void monolish::matrix::Dense< Float >::recv ( )

recv. data to GPU, and free data on GPU

Note

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

Definition at line 205 of file gpu_comm.cpp.

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◆ row() [1/3]

template<typename Float >

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

get row vector

Parameters

r	row number
vec	row vector

Note

# of computation: about nnz / M
Multi-threading: true
GPU acceleration: true

◆ row() [2/3]

template<typename Float >

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

◆ row() [3/3]

template<typename Float >

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

◆ send()

template<typename T >

template void monolish::matrix::Dense< Float >::send ( ) const

send data to GPU

Note

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

Definition at line 186 of file gpu_comm.cpp.

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◆ set_col()

template<typename Float >

void monolish::matrix::Dense< Float >::set_col ( const size_t M )

inline

Set column number.

Parameters

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

Definition at line 235 of file monolish_dense.hpp.

◆ set_nnz()

template<typename Float >

void monolish::matrix::Dense< Float >::set_nnz ( const size_t NZ )

inline

Set # of non-zero elements.

Parameters

NNZ	# of non-zero elements # of computation: 1 Multi-threading: false GPU acceleration: false

Definition at line 244 of file monolish_dense.hpp.

◆ set_ptr()

template<typename Float >

template void monolish::matrix::Dense< Float >::set_ptr	(	const size_t	M,
		const size_t	N,
		const std::vector< Float > &	value
	)

Set Dense array from std::vector.

Parameters

M	# of row
N	# of col
value	value (size nnz)

Note

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

Definition at line 32 of file copy_dense.cpp.

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◆ set_row()

template<typename Float >

void monolish::matrix::Dense< Float >::set_row ( const size_t N )

inline

Set row number.

Parameters

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

Definition at line 226 of file monolish_dense.hpp.

◆ transpose() [1/2]

template<typename T >

template Dense< float > & monolish::matrix::Dense< Float >::transpose ( )

get transposed matrix (A^T)

Returns: tranposed matrix A^T

Note

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

Warning: This function need to allocate tmp. matrix (size M x N)

Definition at line 9 of file transpose_dense.cpp.

Here is the call graph for this function:

◆ transpose() [2/2]

template<typename Float >

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

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

Parameters

B	COO matrix

Note

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

◆ type()

template<typename Float >

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

inline

get format name "Dense"

Note

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

Definition at line 253 of file monolish_dense.hpp.

Member Data Documentation

◆ colN

template<typename Float >

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

private

# of col

Definition at line 31 of file monolish_dense.hpp.

◆ gpu_status

template<typename Float >

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

mutableprivate

true: sended, false: not send

Definition at line 41 of file monolish_dense.hpp.

◆ nnz

template<typename Float >

size_t monolish::matrix::Dense< Float >::nnz

private

# of non-zero element (M * N)

Definition at line 36 of file monolish_dense.hpp.

◆ rowN

template<typename Float >

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

private

# of row

Definition at line 26 of file monolish_dense.hpp.

◆ val

template<typename Float >

std::vector<Float> monolish::matrix::Dense< Float >::val

Dense format value(size M x N)

Definition at line 47 of file monolish_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::matrix::Dense< Float >

Constructor & Destructor Documentation

◆ Dense() [1/10]

◆ Dense() [2/10]

◆ Dense() [3/10]

◆ Dense() [4/10]

◆ Dense() [5/10]

◆ Dense() [6/10]

◆ Dense() [7/10]

◆ Dense() [8/10]

◆ Dense() [9/10]

◆ Dense() [10/10]

◆ ~Dense()

Member Function Documentation

◆ at() [1/2]

◆ at() [2/2]

◆ col() [1/3]

◆ col() [2/3]

◆ col() [3/3]

◆ convert() [1/2]

◆ convert() [2/2]

◆ device_free()

◆ diag() [1/3]

◆ diag() [2/3]

◆ diag() [3/3]

◆ diag_add() [1/4]

◆ diag_add() [2/4]

◆ diag_add() [3/4]

◆ diag_add() [4/4]

◆ diag_div() [1/4]

◆ diag_div() [2/4]

◆ diag_div() [3/4]

◆ diag_div() [4/4]

◆ diag_mul() [1/4]

◆ diag_mul() [2/4]

◆ diag_mul() [3/4]

◆ diag_mul() [4/4]

◆ diag_sub() [1/4]

◆ diag_sub() [2/4]

◆ diag_sub() [3/4]

◆ diag_sub() [4/4]

◆ equal()

◆ fill()

◆ get_col()

◆ get_data_size()

◆ get_device_mem_stat()

◆ get_nnz()

◆ get_row()

◆ insert()

◆ nonfree_recv()

◆ operator!=()

◆ operator=()

◆ operator==()

◆ operator[]()

◆ print_all()

◆ recv()

◆ row() [1/3]

◆ row() [2/3]

◆ row() [3/3]

◆ send()

◆ set_col()

◆ set_nnz()

◆ set_ptr()

◆ set_row()

◆ transpose() [1/2]

◆ transpose() [2/2]

◆ type()

Member Data Documentation

◆ colN

◆ gpu_status

◆ nnz

◆ rowN

◆ val

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