vector class More...

#include <monolish_vector.hpp>

Collaboration diagram for monolish::vector< Float >:

Public Member Functions
Float *	begin ()
	returns a begin iterator More...

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

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

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

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

bool	equal (const view1D< matrix::Dense< Float >, Float > &vec, bool compare_cpu_and_device=false) const
	Comparing matrices (A == mat) More...

bool	equal (const view1D< tensor::tensor_Dense< Float >, Float > &vec, bool compare_cpu_and_device=false) const
	Comparing matrices (A == mat) More...

bool	equal (const view1D< vector< Float >, Float > &vec, bool compare_cpu_and_device=false) const
	Comparing matrices (A == mat) More...

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

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

size_t	get_nnz () const
	get vector size More...

size_t	get_offset () const

void	move (const tensor::tensor_Dense< Float > &tensor_dense)

void	move (const tensor::tensor_Dense< Float > &tensor_dense, int N)

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

bool	operator!= (const vector< Float > &vec) const
	Comparing vectors (v != vec) More...

bool	operator!= (const view1D< matrix::Dense< Float >, Float > &vec) const
	Comparing vectors (v != vec) More...

bool	operator!= (const view1D< tensor::tensor_Dense< Float >, Float > &vec) const
	Comparing vectors (v != vec) More...

bool	operator!= (const view1D< vector< Float >, Float > &vec) const
	Comparing vectors (v != vec) More...

vector< Float >	operator- ()
	Sign inversion. More...

void	operator= (const std::vector< Float > &vec)
	copy vector from std::vector More...

void	operator= (const vector< Float > &vec)
	copy vector, It is same as copy ( Copy the memory on CPU and GPU ) More...

void	operator= (const view1D< matrix::Dense< Float >, Float > &vec)
	copy vector, It is same as copy ( Copy the memory on CPU and GPU ) More...

void	operator= (const view1D< tensor::tensor_Dense< Float >, Float > &vec)
	copy vector, It is same as copy ( Copy the memory on CPU and GPU ) More...

void	operator= (const view1D< vector< Float >, Float > &vec)
	copy vector, It is same as copy ( Copy the memory on CPU and GPU ) More...

bool	operator== (const vector< Float > &vec) const
	Comparing vectors (v == vec) More...

bool	operator== (const view1D< matrix::Dense< Float >, Float > &vec) const
	Comparing vectors (v == vec) More...

bool	operator== (const view1D< tensor::tensor_Dense< Float >, Float > &vec) const
	Comparing vectors (v == vec) More...

bool	operator== (const view1D< vector< Float >, Float > &vec) const
	Comparing vectors (v == vec) 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 standart I/O More...

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

void	push_back (Float Val)
	Add a new element at the end of the vector (only CPU) More...

void	recv ()
	recv data from GPU, and free data on GPU More...

void	resize (size_t N, Float Val=0)
	resize vector (only CPU) More...

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

size_t	size () const
	get vector size More...

	vector ()

	vector (const Float start, const Float end)
	copy from pointer More...

	vector (const size_t N)
	allocate size N vector More...

	vector (const size_t N, const Float min, const Float max)
	create N length rand(min~max) vector More...

	vector (const size_t N, const Float min, const Float max, const std::uint32_t seed)
	create N length rand(min~max) vector with random seed More...

	vector (const size_t N, const Float value)
	initialize size N vector, value to fill the container More...

	vector (const std::initializer_list< Float > &list)
	copy from initializer_list More...

	vector (const std::vector< Float > &vec)
	copy from std::vector More...

	vector (const vector< Float > &vec)
	copy from monolish::vector More...

	vector (const view1D< matrix::Dense< Float >, Float > &vec)
	copy from monolish::view1D from monolish::matrix::Dense More...

	vector (const view1D< tensor::tensor_Dense< Float >, Float > &vec)
	copy from monolish::view1D from monolish::tensor::tensor_Dense More...

	vector (const view1D< vector< Float >, Float > &vec)
	copy from monolish::view1D from vector More...

	~vector ()
	destructor of vector, free GPU memory More...

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

std::shared_ptr< Float >	val
	vector data (pointer) More...

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

std::size_t	val_nnz = 0
	vector size More...

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

Detailed Description

template<typename Float>
class monolish::vector< Float >

vector class

Note

Multi-threading: true
GPU acceleration: false

Definition at line 40 of file monolish_vector.hpp.

Constructor & Destructor Documentation

◆ vector() [1/12]

template<typename Float >

monolish::vector< Float >::vector ( )

inline

Definition at line 68 of file monolish_vector.hpp.

◆ vector() [2/12]

template<typename Float >

monolish::vector< Float >::vector ( const size_t N )

allocate size N vector

Parameters

N	vector length

Note

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

◆ vector() [3/12]

template<typename Float >

monolish::vector< Float >::vector	(	const size_t	N,
		const Float	value
	)

initialize size N vector, value to fill the container

Parameters

N	vector length
value	fill Float type value to all elements

Note

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

◆ vector() [4/12]

template<typename Float >

monolish::vector< Float >::vector ( const std::vector< Float > & vec )

copy from std::vector

Parameters

vec	input std::vector

Note

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

◆ vector() [5/12]

template<typename Float >

monolish::vector< Float >::vector ( const std::initializer_list< Float > & list )

copy from initializer_list

Parameters

list	input initializer_list

Note

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

◆ vector() [6/12]

template<typename Float >

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

copy from monolish::vector

Parameters

vec	input monolish::vector

Note

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

◆ vector() [7/12]

template<typename Float >

monolish::vector< Float >::vector ( const view1D< vector< Float >, Float > & vec )

copy from monolish::view1D from vector

Parameters

vec	input monolish::view1D from vector

Note

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

◆ vector() [8/12]

template<typename Float >

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

copy from monolish::view1D from monolish::matrix::Dense

Parameters

vec	input monolish::view1D from monolish::matrix::Dense

Note

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

◆ vector() [9/12]

template<typename Float >

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

copy from monolish::view1D from monolish::tensor::tensor_Dense

Parameters

vec	input monolish::view1D from monolish::tensor::tensor_Dense

Note

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

◆ vector() [10/12]

template<typename Float >

monolish::vector< Float >::vector	(	const Float *	start,
		const Float *	end
	)

copy from pointer

Parameters

start	start pointer
end	end pointer

Note

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

◆ vector() [11/12]

template<typename Float >

monolish::vector< Float >::vector	(	const size_t	N,
		const Float	min,
		const Float	max
	)

create N length rand(min~max) vector

Parameters

N	vector length
min	rand min
max	rand max

Note

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

◆ vector() [12/12]

template<typename Float >

monolish::vector< Float >::vector	(	const size_t	N,
		const Float	min,
		const Float	max,
		const std::uint32_t	seed
	)

create N length rand(min~max) vector with random seed

Parameters

N	vector length
min	rand min
max	rand max
seed	random seed

Note

The ramdom number generator is random generator is mt19937

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

◆ ~vector()

template<typename Float >

monolish::vector< Float >::~vector ( )

inline

destructor of vector, free GPU memory

Note

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

Definition at line 261 of file monolish_vector.hpp.

Here is the call graph for this function:

Member Function Documentation

◆ begin() [1/2]

template<typename Float >

Float* monolish::vector< Float >::begin ( )

inline

returns a begin iterator

Returns: begin iterator

Note

# of computation: 1

Definition at line 361 of file monolish_vector.hpp.

Here is the call graph for this function:

◆ begin() [2/2]

template<typename Float >

const Float* monolish::vector< Float >::begin ( ) const

inline

returns a begin iterator

Returns: begin iterator

Note

# of computation: 1

Definition at line 353 of file monolish_vector.hpp.

Here is the call graph for this function:

◆ data() [1/2]

template<typename Float >

Float* monolish::vector< Float >::data ( )

inline

returns a direct pointer to the vector

Returns: A pointer to the first element

Note

# of computation: 1

Definition at line 288 of file monolish_vector.hpp.

◆ data() [2/2]

template<typename Float >

const Float* monolish::vector< 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 280 of file monolish_vector.hpp.

Here is the caller graph for this function:

◆ device_free()

template<typename Float >

void monolish::vector< Float >::device_free ( ) const

free data on GPU

Note

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

Here is the caller graph for this function:

◆ end() [1/2]

template<typename Float >

Float* monolish::vector< Float >::end ( )

inline

returns a end iterator

Returns: end iterator

Note

# of computation: 1

Definition at line 377 of file monolish_vector.hpp.

Here is the call graph for this function:

◆ end() [2/2]

template<typename Float >

const Float* monolish::vector< Float >::end ( ) const

inline

returns a end iterator

Returns: end iterator

Note

# of computation: 1

Definition at line 369 of file monolish_vector.hpp.

Here is the call graph for this function:

◆ equal() [1/4]

template<typename Float >

bool monolish::vector< Float >::equal	(	const vector< Float > &	vec,
		bool	compare_cpu_and_device = `false`
	)		const

Comparing matrices (A == mat)

Parameters

vec	vector
compare_cpu_and_device	compare data on both CPU and GPU

Returns: true or false

Note

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

◆ equal() [2/4]

template<typename Float >

bool monolish::vector< Float >::equal	(	const view1D< matrix::Dense< Float >, Float > &	vec,
		bool	compare_cpu_and_device = `false`
	)		const

Comparing matrices (A == mat)

Parameters

vec	view1D from monolish::matrix::Dense
compare_cpu_and_device	compare data on both CPU and GPU

Returns: true or false

Note

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

◆ equal() [3/4]

template<typename Float >

bool monolish::vector< Float >::equal	(	const view1D< tensor::tensor_Dense< Float >, Float > &	vec,
		bool	compare_cpu_and_device = `false`
	)		const

Comparing matrices (A == mat)

Parameters

vec	view1D from monolish::tensor::tensor_Dense
compare_cpu_and_device	compare data on both CPU and GPU

Returns: true or false

Note

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

◆ equal() [4/4]

template<typename Float >

bool monolish::vector< Float >::equal	(	const view1D< vector< Float >, Float > &	vec,
		bool	compare_cpu_and_device = `false`
	)		const

Comparing matrices (A == mat)

Parameters

vec	view1D from monolish::vector
compare_cpu_and_device	compare data on both CPU and GPU

Returns: true or false

Note

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

◆ fill()

template<typename Float >

void monolish::vector< Float >::fill ( Float value )

fill vector elements with a scalar value

Parameters

value scalar value

Note

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

◆ get_device_mem_stat()

template<typename Float >

bool monolish::vector< Float >::get_device_mem_stat ( ) const

inline

true: sended, false: not send

Returns: gpu status

Note

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

Definition at line 252 of file monolish_vector.hpp.

Here is the caller graph for this function:

◆ get_nnz()

template<typename Float >

size_t monolish::vector< Float >::get_nnz ( ) const

inline

get vector size

Returns: vector size

Note

# of computation: 1

Definition at line 393 of file monolish_vector.hpp.

◆ get_offset()

template<typename Float >

size_t monolish::vector< Float >::get_offset ( ) const

inline

Definition at line 269 of file monolish_vector.hpp.

◆ move() [1/2]

template<typename Float >

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

◆ move() [2/2]

template<typename Float >

void monolish::vector< Float >::move	(	const tensor::tensor_Dense< Float > &	tensor_dense,
		int	N
	)

◆ nonfree_recv()

template<typename Float >

void monolish::vector< Float >::nonfree_recv ( )

recv data from GPU (w/o free)

Note

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

◆ operator!=() [1/4]

template<typename Float >

bool monolish::vector< Float >::operator!= ( const vector< Float > & vec ) const

Comparing vectors (v != vec)

Parameters

vec	vector (size N)

Returns: true or false

Note

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

◆ operator!=() [2/4]

template<typename Float >

bool monolish::vector< Float >::operator!= ( const view1D< matrix::Dense< Float >, Float > & vec ) const

Comparing vectors (v != vec)

Parameters

vec	vector (size N)

Returns: true or false

Note

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

◆ operator!=() [3/4]

template<typename Float >

bool monolish::vector< Float >::operator!= ( const view1D< tensor::tensor_Dense< Float >, Float > & vec ) const

Comparing vectors (v != vec)

Parameters

vec	vector (size N)

Returns: true or false

Note

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

◆ operator!=() [4/4]

template<typename Float >

bool monolish::vector< Float >::operator!= ( const view1D< vector< Float >, Float > & vec ) const

Comparing vectors (v != vec)

Parameters

vec	vector (size N)

Returns: true or false

Note

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

◆ operator-()

template<typename Float >

vector<Float> monolish::vector< Float >::operator- ( )

Sign inversion.

Returns: output vector

Note

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

◆ operator=() [1/5]

template<typename Float >

void monolish::vector< Float >::operator= ( const std::vector< Float > & vec )

copy vector from std::vector

Parameters

vec	source std::vector

Returns: output vector

Note

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

◆ operator=() [2/5]

template<typename Float >

void monolish::vector< Float >::operator= ( const vector< Float > & vec )

copy vector, It is same as copy ( Copy the memory on CPU and GPU )

Parameters

vec	source vector

Returns: output vector

Note

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

◆ operator=() [3/5]

template<typename Float >

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

copy vector, It is same as copy ( Copy the memory on CPU and GPU )

Parameters

vec	source view1D from monolish::matrix::Dense

Returns: output vector

Note

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

◆ operator=() [4/5]

template<typename Float >

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

copy vector, It is same as copy ( Copy the memory on CPU and GPU )

Parameters

vec	source view1D from monolish::tensor::tensor_Dense

Returns: output vector

Note

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

◆ operator=() [5/5]

template<typename Float >

void monolish::vector< Float >::operator= ( const view1D< vector< Float >, Float > & vec )

copy vector, It is same as copy ( Copy the memory on CPU and GPU )

Parameters

vec	source view1D from monolish::vector

Returns: output vector

Note

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

◆ operator==() [1/4]

template<typename Float >

bool monolish::vector< Float >::operator== ( const vector< Float > & vec ) const

Comparing vectors (v == vec)

Parameters

vec	vector (size N)

Returns: true or false

Note

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

◆ operator==() [2/4]

template<typename Float >

bool monolish::vector< Float >::operator== ( const view1D< matrix::Dense< Float >, Float > & vec ) const

Comparing vectors (v == vec)

Parameters

vec	view1D from monolish::matrix::Dense (size N)

Returns: true or false

Note

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

◆ operator==() [3/4]

template<typename Float >

bool monolish::vector< Float >::operator== ( const view1D< tensor::tensor_Dense< Float >, Float > & vec ) const

Comparing vectors (v == vec)

Parameters

vec	view1D from monolish::tensor::tensor_Dense (size N)

Returns: true or false

Note

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

◆ operator==() [4/4]

template<typename Float >

bool monolish::vector< Float >::operator== ( const view1D< vector< Float >, Float > & vec ) const

Comparing vectors (v == vec)

Parameters

vec	view1D from monolish::vector (size N)

Returns: true or false

Note

# of computation: N
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::vector< 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 514 of file monolish_vector.hpp.

Here is the call graph for this function:

◆ print_all() [1/2]

template<typename Float >

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

print all elements to standart I/O

Parameters

force_cpu Ignore device status and output CPU data

Note

# of computation: N
Multi-threading: false
GPU acceleration: true (doesn't work in parallel)

◆ print_all() [2/2]

template<typename Float >

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

print all elements to file

Parameters

filename output filename

Note

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

◆ push_back()

template<typename Float >

void monolish::vector< Float >::push_back ( Float Val )

inline

Add a new element at the end of the vector (only CPU)

Parameters

val	new element

Note

# of computation: 1

Definition at line 325 of file monolish_vector.hpp.

Here is the call graph for this function:

◆ recv()

template<typename Float >

void monolish::vector< Float >::recv ( )

recv data from GPU, and free data on GPU

Note

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

◆ resize()

template<typename Float >

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

inline

resize vector (only CPU)

Parameters

N	vector length

Note

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

Definition at line 298 of file monolish_vector.hpp.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ send()

template<typename Float >

void monolish::vector< Float >::send ( ) const

send data to GPU

Note

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

◆ size()

template<typename Float >

size_t monolish::vector< Float >::size ( ) const

inline

get vector size

Returns: vector size

Note

# of computation: 1

Definition at line 385 of file monolish_vector.hpp.

Here is the caller graph for this function:

Member Data Documentation

◆ alloc_nnz

template<typename Float >

std::size_t monolish::vector< Float >::alloc_nnz = 0

alloced vector size

Definition at line 61 of file monolish_vector.hpp.

◆ gpu_status

template<typename Float >

bool monolish::vector< Float >::gpu_status = false

mutableprivate

true: sended, false: not send

Definition at line 45 of file monolish_vector.hpp.

◆ val

template<typename Float >

std::shared_ptr<Float> monolish::vector< Float >::val

vector data (pointer)

Definition at line 51 of file monolish_vector.hpp.

◆ val_create_flag

template<typename Float >

bool monolish::vector< Float >::val_create_flag = false

vector create flag;

Definition at line 66 of file monolish_vector.hpp.

◆ val_nnz

template<typename Float >

std::size_t monolish::vector< Float >::val_nnz = 0

vector size

Definition at line 56 of file monolish_vector.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::vector< Float >

Constructor & Destructor Documentation

◆ vector() [1/12]

◆ vector() [2/12]

◆ vector() [3/12]

◆ vector() [4/12]

◆ vector() [5/12]

◆ vector() [6/12]

◆ vector() [7/12]

◆ vector() [8/12]

◆ vector() [9/12]

◆ vector() [10/12]

◆ vector() [11/12]

◆ vector() [12/12]

◆ ~vector()

Member Function Documentation

◆ begin() [1/2]

◆ begin() [2/2]

◆ data() [1/2]

◆ data() [2/2]

◆ device_free()

◆ end() [1/2]

◆ end() [2/2]

◆ equal() [1/4]

◆ equal() [2/4]

◆ equal() [3/4]

◆ equal() [4/4]

◆ fill()

◆ get_device_mem_stat()

◆ get_nnz()

◆ get_offset()

◆ move() [1/2]

◆ move() [2/2]

◆ nonfree_recv()

◆ operator!=() [1/4]

◆ operator!=() [2/4]

◆ operator!=() [3/4]

◆ operator!=() [4/4]

◆ operator-()

◆ operator=() [1/5]

◆ operator=() [2/5]

◆ operator=() [3/5]

◆ operator=() [4/5]

◆ operator=() [5/5]

◆ operator==() [1/4]

◆ operator==() [2/4]

◆ operator==() [3/4]

◆ operator==() [4/4]

◆ operator[]()

◆ print_all() [1/2]

◆ print_all() [2/2]

◆ push_back()

◆ recv()

◆ resize()

◆ send()

◆ size()

Member Data Documentation

◆ alloc_nnz

◆ gpu_status

◆ val

◆ val_create_flag

◆ val_nnz

template<typename Float>
class monolish::vector< Float >