cytnx Namespace Reference

Namespaces
namespace	algo
namespace	linalg
	linear algebra related functions.
namespace	physics
namespace	qgates
namespace	random
namespace	stat

Classes
class	Accessor
	object that mimic the python slice to access elements in C++ [this is for c++ API only]. More...
class	Bond
	the object contains auxiliary properties for each Tensor rank (bond) More...
class	LinOp
class	Network
class	Scalar
class	Storage
	an memeory storage with multi-type/multi-device support More...
class	Symmetry
	the symmetry object More...
class	Tensor
	an tensor (multi-dimensional array) More...
class	UniTensor
	An Enhanced tensor specifically designed for physical Tensor network simulation. More...

Typedefs
typedef double	cytnx_double
typedef float	cytnx_float
typedef uint64_t	cytnx_uint64
typedef uint32_t	cytnx_uint32
typedef uint16_t	cytnx_uint16
typedef int64_t	cytnx_int64
typedef int32_t	cytnx_int32
typedef int16_t	cytnx_int16
typedef size_t	cytnx_size_t
typedef std::complex< float >	cytnx_complex64
typedef std::complex< double >	cytnx_complex128
typedef bool	cytnx_bool
typedef Accessor	ac

Enumerations
enum	bondType : int { BD_KET = -1 , BD_BRA = 1 , BD_REG =0 }

Functions
Tensor	zeros (const cytnx_uint64 &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
	create an rank-1 Tensor with all the elements are initialized with zero.
Tensor	zeros (const std::vector< cytnx_uint64 > &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
	create an Tensor with all the elements are initialized with zero.
Tensor	identity (const cytnx_uint64 &Dim, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
	create an square rank-2 Tensor with all diagonal to be one.
Tensor	eye (const cytnx_uint64 &Dim, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
	create an square rank-2 Tensor with all diagonal to be one.
Tensor	ones (const cytnx_uint64 &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
	create an rank-1 Tensor with all the elements are initialized with one.
Tensor	ones (const std::vector< cytnx_uint64 > &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
	create an Tensor with all the elements are initialized with one.
Tensor	arange (const cytnx_int64 &Nelem)
	create an rank-1 Tensor with incremental unsigned integer elements start with [0,Nelem)
Tensor	arange (const cytnx_double &start, const cytnx_double &end, const cytnx_double &step=1, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
	create an rank-1 Tensor with elements defined in range [start,end) with assigned step-size
Tensor	linspace (const cytnx_double &start, const cytnx_double &end, const cytnx_uint64 &Nelem, const bool &endpoint=true, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
cytnx::UniTensor	operator+ (const cytnx::UniTensor &Lt, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator+ (const T &lc, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator+ (const cytnx::UniTensor &Lt, const T &rc)
cytnx::UniTensor	operator- (const cytnx::UniTensor &Lt, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator- (const T &lc, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator- (const cytnx::UniTensor &Lt, const T &rc)
cytnx::UniTensor	operator* (const cytnx::UniTensor &Lt, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator* (const T &lc, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator* (const cytnx::UniTensor &Lt, const T &rc)
cytnx::UniTensor	operator/ (const cytnx::UniTensor &Lt, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator/ (const T &lc, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator/ (const cytnx::UniTensor &Lt, const T &rc)
cytnx::UniTensor	operator% (const cytnx::UniTensor &Lt, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator% (const T &lc, const cytnx::UniTensor &Rt)
template<class T >
cytnx::UniTensor	operator% (const cytnx::UniTensor &Lt, const T &rc)
Tensor	operator+ (const Tensor &Lt, const Tensor &Rt)
template<class T >
Tensor	operator+ (const T &lc, const Tensor &Rt)
template<class T >
Tensor	operator+ (const Tensor &Lt, const T &rc)
Tensor	operator- (const Tensor &Lt, const Tensor &Rt)
template<class T >
Tensor	operator- (const T &lc, const Tensor &Rt)
template<class T >
Tensor	operator- (const Tensor &Lt, const T &rc)
Tensor	operator* (const Tensor &Lt, const Tensor &Rt)
template<class T >
Tensor	operator* (const T &lc, const Tensor &Rt)
template<class T >
Tensor	operator* (const Tensor &Lt, const T &rc)
Tensor	operator/ (const Tensor &Lt, const Tensor &Rt)
template<class T >
Tensor	operator/ (const T &lc, const Tensor &Rt)
template<class T >
Tensor	operator/ (const Tensor &Lt, const T &rc)
Tensor	operator% (const Tensor &Lt, const Tensor &Rt)
template<class T >
Tensor	operator% (const T &lc, const Tensor &Rt)
template<class T >
Tensor	operator% (const Tensor &Lt, const T &rc)
Tensor	operator== (const Tensor &Lt, const Tensor &Rt)
template<class T >
Tensor	operator== (const T &lc, const Tensor &Rt)
template<class T >
Tensor	operator== (const Tensor &Lt, const T &rc)
Scalar	operator+ (const Scalar &lc, const Scalar &rs)
Scalar	operator* (const Scalar &lc, const Scalar &rs)
Scalar	operator- (const Scalar &lc, const Scalar &rs)
Scalar	operator/ (const Scalar &lc, const Scalar &rs)
bool	operator< (const Scalar &lc, const Scalar &rs)
bool	operator> (const Scalar &lc, const Scalar &rs)
bool	operator<= (const Scalar &lc, const Scalar &rs)
bool	operator>= (const Scalar &lc, const Scalar &rs)
bool	operator== (const Scalar &lc, const Scalar &rs)
Scalar	abs (const Scalar &c)
Scalar	sqrt (const Scalar &c)
cytnx_complex128	complex128 (const Scalar &in)
cytnx_complex64	complex64 (const Scalar &in)
std::ostream &	operator<< (std::ostream &os, const Scalar &in)
std::ostream &	operator<< (std::ostream &os, const Symmetry &in)
Tensor	operator+ (const Tensor &lhs, const Tensor::Tproxy &rhs)
Tensor	operator- (const Tensor &lhs, const Tensor::Tproxy &rhs)
Tensor	operator* (const Tensor &lhs, const Tensor::Tproxy &rhs)
Tensor	operator/ (const Tensor &lhs, const Tensor::Tproxy &rhs)
Tensor	operator+ (const Tensor &lhs, const Scalar::Sproxy &rhs)
Tensor	operator- (const Tensor &lhs, const Scalar::Sproxy &rhs)
Tensor	operator* (const Tensor &lhs, const Scalar::Sproxy &rhs)
Tensor	operator/ (const Tensor &lhs, const Scalar::Sproxy &rhs)
std::ostream &	operator<< (std::ostream &os, const Tensor &in)
std::ostream &	operator<< (std::ostream &os, const Tensor::Tproxy &in)
UniTensor	Contract (const UniTensor &inL, const UniTensor &inR, const bool &cacheL=false, const bool &cacheR=false)
	Contract two UniTensor by tracing the ranks with common labels.
std::ostream &	operator<< (std::ostream &os, const Accessor &in)
std::ostream &	operator<< (std::ostream &os, const Bond &bin)
std::ostream &	operator<< (std::ostream &os, const Network &in)
void	_parse_ORDER_line_ (vector< string > &tokens, const string &line, const cytnx_uint64 &line_num)
void	_parse_TOUT_line_ (vector< cytnx_int64 > &lbls, cytnx_uint64 &TOUT_iBondNum, const string &line, const cytnx_uint64 &line_num)
void	tri (const char *text)
	This is debug function for printing special characters.
void	_parse_TN_line_ (vector< cytnx_int64 > &lbls, cytnx_uint64 &TN_iBondNum, const string &line, const cytnx_uint64 &line_num)
void	_extract_TNs_from_ORDER_ (vector< string > &TN_names, const vector< string > &tokens)
Scalar_base *	ScIInit_cd ()
Scalar_base *	ScIInit_cf ()
Scalar_base *	ScIInit_d ()
Scalar_base *	ScIInit_f ()
Scalar_base *	ScIInit_u64 ()
Scalar_base *	ScIInit_i64 ()
Scalar_base *	ScIInit_u32 ()
Scalar_base *	ScIInit_i32 ()
Scalar_base *	ScIInit_u16 ()
Scalar_base *	ScIInit_i16 ()
Scalar_base *	ScIInit_b ()
cytnx_float	get_cost (const PsudoUniTensor &t1, const PsudoUniTensor &t2)
PsudoUniTensor	pContract (PsudoUniTensor &t1, PsudoUniTensor &t2)
std::vector< cytnx_uint64 >	_locator_to_inner_ij (const std::vector< cytnx_uint64 > &locator, const std::vector< cytnx_uint64 > &current_shape, const cytnx_uint64 &inner_rowrank, const std::vector< cytnx_uint64 > &inv_mapper)
std::ostream &	operator<< (std::ostream &os, const Storage &in)
boost::intrusive_ptr< Storage_base >	SIInit_cd ()
boost::intrusive_ptr< Storage_base >	SIInit_cf ()
boost::intrusive_ptr< Storage_base >	SIInit_d ()
boost::intrusive_ptr< Storage_base >	SIInit_f ()
boost::intrusive_ptr< Storage_base >	SIInit_u64 ()
boost::intrusive_ptr< Storage_base >	SIInit_i64 ()
boost::intrusive_ptr< Storage_base >	SIInit_u32 ()
boost::intrusive_ptr< Storage_base >	SIInit_i32 ()
boost::intrusive_ptr< Storage_base >	SIInit_u16 ()
boost::intrusive_ptr< Storage_base >	SIInit_i16 ()
boost::intrusive_ptr< Storage_base >	SIInit_b ()
template<>
std::complex< double > *	Storage_base::data< std::complex< double > > () const
template<>
std::complex< float > *	Storage_base::data< std::complex< float > > () const
template<>
std::complex< float > &	Storage_base::at< std::complex< float > > (const cytnx_uint64 &idx) const
template<>
std::complex< double > &	Storage_base::at< std::complex< double > > (const cytnx_uint64 &idx) const
template<>
std::complex< float > &	Storage_base::back< std::complex< float > > () const
template<>
std::complex< double > &	Storage_base::back< std::complex< double > > () const
ostream &	operator<< (ostream &os, const Symmetry &in)
template<>
Tensor &	Tensor::operator+=<Tensor::Tproxy > (const Tensor::Tproxy &rc)
template<>
Tensor &	Tensor::operator+=<Scalar::Sproxy > (const Scalar::Sproxy &rc)
template<>
Tensor &	Tensor::operator-=<Tensor::Tproxy > (const Tensor::Tproxy &rc)
template<>
Tensor &	Tensor::operator-=<Scalar::Sproxy > (const Scalar::Sproxy &rc)
template<>
Tensor &	Tensor::operator*=<Tensor::Tproxy > (const Tensor::Tproxy &rc)
template<>
Tensor &	Tensor::operator*=<Scalar::Sproxy > (const Scalar::Sproxy &rc)
template<>
Tensor &	Tensor::operator/=<Tensor::Tproxy > (const Tensor::Tproxy &rc)
template<>
Tensor &	Tensor::operator/=<Scalar::Sproxy > (const Scalar::Sproxy &rc)
std::ostream &	operator<< (std::ostream &os, const UniTensor &in)

Variables
Device_class	Device
Type_class	Type
int	__blasINTsize__ = sizeof(lapack_int)
NetworkType_class	NtType
Scalar_init_interface	__ScII
Storage_init_interface	__SII
SymmetryType_class	SymType
UniTensorType_class	UTenType

Typedef Documentation

ac

typedef Accessor cytnx::ac

cytnx_bool

typedef bool cytnx::cytnx_bool

cytnx_complex128

typedef std::complex<double> cytnx::cytnx_complex128

cytnx_complex64

typedef std::complex<float> cytnx::cytnx_complex64

cytnx_double

typedef double cytnx::cytnx_double

cytnx_float

typedef float cytnx::cytnx_float

cytnx_int16

typedef int16_t cytnx::cytnx_int16

cytnx_int32

typedef int32_t cytnx::cytnx_int32

cytnx_int64

typedef int64_t cytnx::cytnx_int64

cytnx_size_t

typedef size_t cytnx::cytnx_size_t

cytnx_uint16

typedef uint16_t cytnx::cytnx_uint16

cytnx_uint32

typedef uint32_t cytnx::cytnx_uint32

cytnx_uint64

typedef uint64_t cytnx::cytnx_uint64

Enumeration Type Documentation

bondType

enum cytnx::bondType : int

Enumerator
BD_KET
BD_BRA
BD_REG

Function Documentation

_extract_TNs_from_ORDER_()

void cytnx::_extract_TNs_from_ORDER_	(	vector< string > &	TN_names,
		const vector< string > &	tokens
	)

_locator_to_inner_ij()

std::vector< cytnx_uint64 > cytnx::_locator_to_inner_ij	(	const std::vector< cytnx_uint64 > &	locator,
		const std::vector< cytnx_uint64 > &	current_shape,
		const cytnx_uint64 &	inner_rowrank,
		const std::vector< cytnx_uint64 > &	inv_mapper
	)

_parse_ORDER_line_()

void cytnx::_parse_ORDER_line_	(	vector< string > &	tokens,
		const string &	line,
		const cytnx_uint64 &	line_num
	)

_parse_TN_line_()

void cytnx::_parse_TN_line_	(	vector< cytnx_int64 > &	lbls,
		cytnx_uint64 &	TN_iBondNum,
		const string &	line,
		const cytnx_uint64 &	line_num
	)

_parse_TOUT_line_()

void cytnx::_parse_TOUT_line_	(	vector< cytnx_int64 > &	lbls,
		cytnx_uint64 &	TOUT_iBondNum,
		const string &	line,
		const cytnx_uint64 &	line_num
	)

abs()

Scalar cytnx::abs

(

const Scalar &

c

)

arange() [1/2]

Tensor cytnx::arange	(	const cytnx_double &	start,
		const cytnx_double &	end,
		const cytnx_double &	step = 1,
		const unsigned int &	dtype = Type.Double,
		const int &	device = Device.cpu
	)

create an rank-1 Tensor with elements defined in range [start,end) with assigned step-size

Parameters

start	the start value of the range
end	the end value of the range
step	the step-size of the range
dtype	the dtype of the Tensor. It can be any type defined in cytnx::Type
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device

Returns

[Tensor]

arange() [2/2]

Tensor cytnx::arange

(

const cytnx_int64 &

Nelem

)

create an rank-1 Tensor with incremental unsigned integer elements start with [0,Nelem)

Parameters

Nelem

the number of incremental elements to create.

Returns

[Tensor]

complex128()

cytnx_complex128 cytnx::complex128

(

const Scalar &

in

)

complex64()

cytnx_complex64 cytnx::complex64

(

const Scalar &

in

)

Contract()

UniTensor cytnx::Contract	(	const UniTensor &	inL,
		const UniTensor &	inR,
		const bool &	cacheL = false,
		const bool &	cacheR = false
	)

Contract two UniTensor by tracing the ranks with common labels.

Parameters

inL	the Tensor #1
inR	the Tensor #2

Returns

[UniTensor]

See also UniTensor.contract

eye()

Tensor cytnx::eye	(	const cytnx_uint64 &	Dim,
		const unsigned int &	dtype = Type.Double,
		const int &	device = Device.cpu
	)

create an square rank-2 Tensor with all diagonal to be one.

Parameters

Dim	the dimension of diagonal.
dtype	the dtype of the Tensor. It can be any type defined in cytnx::Type
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device

Returns

[Tensor]

Note: This function is a alias of cytnx::identity().

get_cost()

cytnx_float cytnx::get_cost	(	const PsudoUniTensor &	t1,
		const PsudoUniTensor &	t2
	)

identity()

Tensor cytnx::identity	(	const cytnx_uint64 &	Dim,
		const unsigned int &	dtype = Type.Double,
		const int &	device = Device.cpu
	)

create an square rank-2 Tensor with all diagonal to be one.

Parameters

Dim	the dimension of diagonal.
dtype	the dtype of the Tensor. It can be any type defined in cytnx::Type
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device

Returns

[Tensor]

linspace()

Tensor cytnx::linspace	(	const cytnx_double &	start,
		const cytnx_double &	end,
		const cytnx_uint64 &	Nelem,
		const bool &	endpoint = true,
		const unsigned int &	dtype = Type.Double,
		const int &	device = Device.cpu
	)

ones() [1/2]

Tensor cytnx::ones	(	const cytnx_uint64 &	Nelem,
		const unsigned int &	dtype = Type.Double,
		const int &	device = Device.cpu
	)

create an rank-1 Tensor with all the elements are initialized with one.

Parameters

Nelem	the number of elements
dtype	the dtype of the Tensor. It can be any type defined in cytnx::Type
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device

Returns

[Tensor]

ones() [2/2]

Tensor cytnx::ones	(	const std::vector< cytnx_uint64 > &	Nelem,
		const unsigned int &	dtype = Type.Double,
		const int &	device = Device.cpu
	)

create an Tensor with all the elements are initialized with one.

Parameters

Nelem	the shape of the Tensor
dtype	the dtype of the Tensor. It can be any type defined in cytnx::Type
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device

Returns

[Tensor]

operator%() [1/6]

cytnx::UniTensor cytnx::operator%	(	const cytnx::UniTensor &	Lt,
		const cytnx::UniTensor &	Rt
	)

operator%() [2/6]

template<class T >

cytnx::UniTensor cytnx::operator%	(	const cytnx::UniTensor &	Lt,
		const T &	rc
	)

operator%() [3/6]

template<class T >

cytnx::UniTensor cytnx::operator%	(	const T &	lc,
		const cytnx::UniTensor &	Rt
	)

operator%() [4/6]

template<class T >

Tensor cytnx::operator%	(	const T &	lc,
		const Tensor &	Rt
	)

operator%() [5/6]

template<class T >

Tensor cytnx::operator%	(	const Tensor &	Lt,
		const T &	rc
	)

operator%() [6/6]

Tensor cytnx::operator%	(	const Tensor &	Lt,
		const Tensor &	Rt
	)

operator*() [1/9]

cytnx::UniTensor cytnx::operator*	(	const cytnx::UniTensor &	Lt,
		const cytnx::UniTensor &	Rt
	)

operator*() [2/9]

template<class T >

cytnx::UniTensor cytnx::operator*	(	const cytnx::UniTensor &	Lt,
		const T &	rc
	)

operator*() [3/9]

Scalar cytnx::operator*	(	const Scalar &	lc,
		const Scalar &	rs
	)

operator*() [4/9]

template<class T >

cytnx::UniTensor cytnx::operator*	(	const T &	lc,
		const cytnx::UniTensor &	Rt
	)

operator*() [5/9]

template<class T >

Tensor cytnx::operator*	(	const T &	lc,
		const Tensor &	Rt
	)

operator*() [6/9]

Tensor cytnx::operator*	(	const Tensor &	lhs,
		const Scalar::Sproxy &	rhs
	)

operator*() [7/9]

Tensor cytnx::operator*	(	const Tensor &	lhs,
		const Tensor::Tproxy &	rhs
	)

operator*() [8/9]

template<class T >

Tensor cytnx::operator*	(	const Tensor &	Lt,
		const T &	rc
	)

operator*() [9/9]

Tensor cytnx::operator*	(	const Tensor &	Lt,
		const Tensor &	Rt
	)

operator+() [1/9]

cytnx::UniTensor cytnx::operator+	(	const cytnx::UniTensor &	Lt,
		const cytnx::UniTensor &	Rt
	)

operator+() [2/9]

template<class T >

cytnx::UniTensor cytnx::operator+	(	const cytnx::UniTensor &	Lt,
		const T &	rc
	)

operator+() [3/9]

Scalar cytnx::operator+	(	const Scalar &	lc,
		const Scalar &	rs
	)

operator+() [4/9]

template<class T >

cytnx::UniTensor cytnx::operator+	(	const T &	lc,
		const cytnx::UniTensor &	Rt
	)

operator+() [5/9]

template<class T >

Tensor cytnx::operator+	(	const T &	lc,
		const Tensor &	Rt
	)

operator+() [6/9]

Tensor cytnx::operator+	(	const Tensor &	lhs,
		const Scalar::Sproxy &	rhs
	)

operator+() [7/9]

Tensor cytnx::operator+	(	const Tensor &	lhs,
		const Tensor::Tproxy &	rhs
	)

operator+() [8/9]

template<class T >

Tensor cytnx::operator+	(	const Tensor &	Lt,
		const T &	rc
	)

operator+() [9/9]

Tensor cytnx::operator+	(	const Tensor &	Lt,
		const Tensor &	Rt
	)

operator-() [1/9]

cytnx::UniTensor cytnx::operator-	(	const cytnx::UniTensor &	Lt,
		const cytnx::UniTensor &	Rt
	)

operator-() [2/9]

template<class T >

cytnx::UniTensor cytnx::operator-	(	const cytnx::UniTensor &	Lt,
		const T &	rc
	)

operator-() [3/9]

Scalar cytnx::operator-	(	const Scalar &	lc,
		const Scalar &	rs
	)

operator-() [4/9]

template<class T >

cytnx::UniTensor cytnx::operator-	(	const T &	lc,
		const cytnx::UniTensor &	Rt
	)

operator-() [5/9]

template<class T >

Tensor cytnx::operator-	(	const T &	lc,
		const Tensor &	Rt
	)

operator-() [6/9]

Tensor cytnx::operator-	(	const Tensor &	lhs,
		const Scalar::Sproxy &	rhs
	)

operator-() [7/9]

Tensor cytnx::operator-	(	const Tensor &	lhs,
		const Tensor::Tproxy &	rhs
	)

operator-() [8/9]

template<class T >

Tensor cytnx::operator-	(	const Tensor &	Lt,
		const T &	rc
	)

operator-() [9/9]

Tensor cytnx::operator-	(	const Tensor &	Lt,
		const Tensor &	Rt
	)

operator/() [1/9]

cytnx::UniTensor cytnx::operator/	(	const cytnx::UniTensor &	Lt,
		const cytnx::UniTensor &	Rt
	)

operator/() [2/9]

template<class T >

cytnx::UniTensor cytnx::operator/	(	const cytnx::UniTensor &	Lt,
		const T &	rc
	)

operator/() [3/9]

Scalar cytnx::operator/	(	const Scalar &	lc,
		const Scalar &	rs
	)

operator/() [4/9]

template<class T >

cytnx::UniTensor cytnx::operator/	(	const T &	lc,
		const cytnx::UniTensor &	Rt
	)

operator/() [5/9]

template<class T >

Tensor cytnx::operator/	(	const T &	lc,
		const Tensor &	Rt
	)

operator/() [6/9]

Tensor cytnx::operator/	(	const Tensor &	lhs,
		const Scalar::Sproxy &	rhs
	)

operator/() [7/9]

Tensor cytnx::operator/	(	const Tensor &	lhs,
		const Tensor::Tproxy &	rhs
	)

operator/() [8/9]

template<class T >

Tensor cytnx::operator/	(	const Tensor &	Lt,
		const T &	rc
	)

operator/() [9/9]

Tensor cytnx::operator/	(	const Tensor &	Lt,
		const Tensor &	Rt
	)

operator<()

bool cytnx::operator<	(	const Scalar &	lc,
		const Scalar &	rs
	)

operator<<() [1/10]

ostream & cytnx::operator<<	(	ostream &	os,
		const Symmetry &	in
	)

operator<<() [2/10]

std::ostream & cytnx::operator<<	(	std::ostream &	os,
		const Accessor &	in
	)

operator<<() [3/10]

std::ostream & cytnx::operator<<	(	std::ostream &	os,
		const Bond &	bin
	)

operator<<() [4/10]

std::ostream & cytnx::operator<<	(	std::ostream &	os,
		const Network &	in
	)

operator<<() [5/10]

std::ostream & cytnx::operator<<	(	std::ostream &	os,
		const Scalar &	in
	)

operator<<() [6/10]

std::ostream & cytnx::operator<<	(	std::ostream &	os,
		const Storage &	in
	)

operator<<() [7/10]

std::ostream & cytnx::operator<<	(	std::ostream &	os,
		const Symmetry &	in
	)

operator<<() [8/10]

std::ostream & cytnx::operator<<	(	std::ostream &	os,
		const Tensor &	in
	)

operator<<() [9/10]

std::ostream & cytnx::operator<<	(	std::ostream &	os,
		const Tensor::Tproxy &	in
	)

operator<<() [10/10]

std::ostream & cytnx::operator<<	(	std::ostream &	os,
		const UniTensor &	in
	)

operator<=()

bool cytnx::operator<=	(	const Scalar &	lc,
		const Scalar &	rs
	)

operator==() [1/4]

bool cytnx::operator==	(	const Scalar &	lc,
		const Scalar &	rs
	)

operator==() [2/4]

template<class T >

Tensor cytnx::operator==	(	const T &	lc,
		const Tensor &	Rt
	)

operator==() [3/4]

template<class T >

Tensor cytnx::operator==	(	const Tensor &	Lt,
		const T &	rc
	)

operator==() [4/4]

Tensor cytnx::operator==	(	const Tensor &	Lt,
		const Tensor &	Rt
	)

operator>()

bool cytnx::operator>	(	const Scalar &	lc,
		const Scalar &	rs
	)

operator>=()

bool cytnx::operator>=	(	const Scalar &	lc,
		const Scalar &	rs
	)

pContract()

PsudoUniTensor cytnx::pContract	(	PsudoUniTensor &	t1,
		PsudoUniTensor &	t2
	)

ScIInit_b()

Scalar_base * cytnx::ScIInit_b

(

)

ScIInit_cd()

Scalar_base * cytnx::ScIInit_cd

(

)

ScIInit_cf()

Scalar_base * cytnx::ScIInit_cf

(

)

ScIInit_d()

Scalar_base * cytnx::ScIInit_d

(

)

ScIInit_f()

Scalar_base * cytnx::ScIInit_f

(

)

ScIInit_i16()

Scalar_base * cytnx::ScIInit_i16

(

)

ScIInit_i32()

Scalar_base * cytnx::ScIInit_i32

(

)

ScIInit_i64()

Scalar_base * cytnx::ScIInit_i64

(

)

ScIInit_u16()

Scalar_base * cytnx::ScIInit_u16

(

)

ScIInit_u32()

Scalar_base * cytnx::ScIInit_u32

(

)

ScIInit_u64()

Scalar_base * cytnx::ScIInit_u64

(

)

SIInit_b()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_b

(

)

SIInit_cd()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_cd

(

)

SIInit_cf()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_cf

(

)

SIInit_d()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_d

(

)

SIInit_f()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_f

(

)

SIInit_i16()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_i16

(

)

SIInit_i32()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_i32

(

)

SIInit_i64()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_i64

(

)

SIInit_u16()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_u16

(

)

SIInit_u32()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_u32

(

)

SIInit_u64()

boost::intrusive_ptr< Storage_base > cytnx::SIInit_u64

(

)

sqrt()

Scalar cytnx::sqrt

(

const Scalar &

c

)

Storage_base::at< std::complex< double > >()

template<>

std::complex< double > & cytnx::Storage_base::at< std::complex< double > >

(

const cytnx_uint64 &

idx

)

const

Storage_base::at< std::complex< float > >()

template<>

std::complex< float > & cytnx::Storage_base::at< std::complex< float > >

(

const cytnx_uint64 &

idx

)

const

Storage_base::back< std::complex< double > >()

template<>

std::complex< double > & cytnx::Storage_base::back< std::complex< double > >

(

)

const

Storage_base::back< std::complex< float > >()

template<>

std::complex< float > & cytnx::Storage_base::back< std::complex< float > >

(

)

const

Storage_base::data< std::complex< double > >()

template<>

std::complex< double > * cytnx::Storage_base::data< std::complex< double > >

(

)

const

Storage_base::data< std::complex< float > >()

template<>

std::complex< float > * cytnx::Storage_base::data< std::complex< float > >

(

)

const

Tensor::operator*=<Scalar::Sproxy >()

template<>

Tensor & cytnx::Tensor::operator*=<Scalar::Sproxy >

(

const Scalar::Sproxy &

rc

)

Tensor::operator*=<Tensor::Tproxy >()

template<>

Tensor & cytnx::Tensor::operator*=<Tensor::Tproxy >

(

const Tensor::Tproxy &

rc

)

Tensor::operator+=<Scalar::Sproxy >()

template<>

Tensor & cytnx::Tensor::operator+=<Scalar::Sproxy >

(

const Scalar::Sproxy &

rc

)

Tensor::operator+=<Tensor::Tproxy >()

template<>

Tensor & cytnx::Tensor::operator+=<Tensor::Tproxy >

(

const Tensor::Tproxy &

rc

)

Tensor::operator-=<Scalar::Sproxy >()

template<>

Tensor & cytnx::Tensor::operator-=<Scalar::Sproxy >

(

const Scalar::Sproxy &

rc

)

Tensor::operator-=<Tensor::Tproxy >()

template<>

Tensor & cytnx::Tensor::operator-=<Tensor::Tproxy >

(

const Tensor::Tproxy &

rc

)

Tensor::operator/=<Scalar::Sproxy >()

template<>

Tensor & cytnx::Tensor::operator/=<Scalar::Sproxy >

(

const Scalar::Sproxy &

rc

)

Tensor::operator/=<Tensor::Tproxy >()

template<>

Tensor & cytnx::Tensor::operator/=<Tensor::Tproxy >

(

const Tensor::Tproxy &

rc

)

tri()

void cytnx::tri

(

const char *

text

)

This is debug function for printing special characters.

zeros() [1/2]

Tensor cytnx::zeros	(	const cytnx_uint64 &	Nelem,
		const unsigned int &	dtype = Type.Double,
		const int &	device = Device.cpu
	)

create an rank-1 Tensor with all the elements are initialized with zero.

Parameters

Nelem	the number of elements
dtype	the dtype of the Tensor. It can be any type defined in cytnx::Type
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device

Returns

[Tensor]

zeros() [2/2]

Tensor cytnx::zeros	(	const std::vector< cytnx_uint64 > &	Nelem,
		const unsigned int &	dtype = Type.Double,
		const int &	device = Device.cpu
	)

create an Tensor with all the elements are initialized with zero.

Parameters

Nelem	the shape of the Tensor
dtype	the dtype of the Tensor. It can be any type defined in cytnx::Type
device	the device that the Tensor is put on. It can be any device defined in cytnx::Device

Returns

[Tensor]

Variable Documentation

__blasINTsize__

int cytnx::__blasINTsize__ = sizeof(lapack_int)

__ScII

Scalar_init_interface cytnx::__ScII

__SII

Storage_init_interface cytnx::__SII

Device

Device_class cytnx::Device

NtType

NetworkType_class cytnx::NtType

SymType

SymmetryType_class cytnx::SymType

Type

Type_class cytnx::Type

UTenType

UniTensorType_class cytnx::UTenType