WFFR4 Class Reference

Public Member Functions
WFFR4	__add__ (WFFR4 self, WFFR4 arg0)
WFFR4	__add__ (WFFR4 self, Scalar arg0)
WFFR4	__add__ (WFFR4 self, float arg0)
WFFR4	__iadd__ (WFFR4 self, float arg0)
WFFR4	__imul__ (WFFR4 self, float arg0)
None	__init__ (self)
None	__init__ (self, torch.Tensor tensor, int dynamic_dim, int intmd_dim)
None	__init__ (self, Vec other)
None	__init__ (self, Rot other)
None	__init__ (self, WR2 other)
None	__init__ (self, R2 other)
None	__init__ (self, SR2 other)
None	__init__ (self, R3 other)
None	__init__ (self, SFR3 other)
None	__init__ (self, R4 other)
None	__init__ (self, SFFR4 other)
None	__init__ (self, WFFR4 other)
None	__init__ (self, SSR4 other)
None	__init__ (self, SWR4 other)
None	__init__ (self, WSR4 other)
None	__init__ (self, WWR4 other)
None	__init__ (self, Quaternion other)
None	__init__ (self, MillerIndex other)
None	__init__ (self, Tensor other)
None	__init__ (self, Scalar other)
None	__init__ (self, torch.Tensor tensor, int intmd_dim=0)
WFFR4	__isub__ (WFFR4 self, float arg0)
WFFR4	__itruediv__ (WFFR4 self, float arg0)
WFFR4	__mul__ (WFFR4 self, Scalar arg0)
WFFR4	__mul__ (WFFR4 self, float arg0)
WFFR4	__neg__ (WFFR4 self)
WFFR4	__pow__ (WFFR4 self, float arg0)
WFFR4	__radd__ (WFFR4 self, Scalar arg0)
WFFR4	__radd__ (WFFR4 self, float arg0)
str	__repr__ (WFFR4 self)
WFFR4	__rmul__ (WFFR4 self, Scalar arg0)
WFFR4	__rmul__ (WFFR4 self, float arg0)
WFFR4	__rsub__ (WFFR4 self, Scalar arg0)
WFFR4	__rsub__ (WFFR4 self, float arg0)
WFFR4	__rtruediv__ (WFFR4 self, Scalar arg0)
WFFR4	__rtruediv__ (WFFR4 self, float arg0)
str	__str__ (WFFR4 self)
WFFR4	__sub__ (WFFR4 self, WFFR4 arg0)
WFFR4	__sub__ (WFFR4 self, Scalar arg0)
WFFR4	__sub__ (WFFR4 self, float arg0)
WFFR4	__truediv__ (WFFR4 self, Scalar arg0)
WFFR4	__truediv__ (WFFR4 self, float arg0)
WFFR4	clone (WFFR4 self)
WFFR4	contiguous (WFFR4 self)
torch.Tensor	copy_ (WFFR4 self, torch.Tensor arg0, bool arg1)
bool	defined (WFFR4 self)
WFFR4	detach (WFFR4 self)
torch.Tensor	detach_ (WFFR4 self)
int	dim (WFFR4 self)
Number|torch.SymInt|torch.SymFloat|torch.SymBool	item (WFFR4 self)
Scalar	norm (WFFR4 self)
torch.Tensor	requires_grad_ (WFFR4 self, bool arg0)
Tensor	tensor (WFFR4 self)
WFFR4	to (WFFR4 self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
torch.Tensor	torch (WFFR4 self)
torch.Tensor	zero_ (WFFR4 self)
WFFR4BaseView	base (self)
WFFR4BatchView	batch (self)
torch.device	device (self)
torch.dtype	dtype (self)
WFFR4DynamicView	dynamic (self)
torch.Tensor	grad (self)
WFFR4IntmdView	intmd (self)
bool	requires_grad (self)
tuple[int,...]	shape (self)
WFFR4StaticView	static (self)

Static Public Member Functions
WFFR4	dynamic_linspace (WFFR4 start, WFFR4 end, int step, int dim=0)
WFFR4	dynamic_logspace (WFFR4 start, WFFR4 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
WFFR4	empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	empty_like (WFFR4 arg0)
WFFR4	full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	full (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	full_like (WFFR4 other, float fill_value)
WFFR4	intmd_linspace (WFFR4 start, WFFR4 end, int step, int dim=0)
WFFR4	intmd_logspace (WFFR4 start, WFFR4 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
WFFR4	ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	ones (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	ones_like (WFFR4 arg0)
WFFR4	rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	rand_like (WFFR4 arg0)
WFFR4	zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	zeros (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WFFR4	zeros_like (WFFR4 arg0)

Constructor & Destructor Documentation

__init__() [1/21]

None __init__

(

self

)

__init__() [2/21]

None __init__	(		self,
		torch.Tensor	tensor,
		int	dynamic_dim,
		int	intmd_dim )

__init__() [3/21]

None __init__	(		self,
		Vec	other )

__init__() [4/21]

None __init__	(		self,
		Rot	other )

__init__() [5/21]

None __init__	(		self,
		WR2	other )

__init__() [6/21]

None __init__	(		self,
		R2	other )

__init__() [7/21]

None __init__	(		self,
		SR2	other )

__init__() [8/21]

None __init__	(		self,
		R3	other )

__init__() [9/21]

None __init__	(		self,
		SFR3	other )

__init__() [10/21]

None __init__	(		self,
		R4	other )

__init__() [11/21]

None __init__	(		self,
		SFFR4	other )

__init__() [12/21]

None __init__	(		self,
		WFFR4	other )

__init__() [13/21]

None __init__	(		self,
		SSR4	other )

__init__() [14/21]

None __init__	(		self,
		SWR4	other )

__init__() [15/21]

None __init__	(		self,
		WSR4	other )

__init__() [16/21]

None __init__	(		self,
		WWR4	other )

__init__() [17/21]

None __init__	(		self,
		Quaternion	other )

__init__() [18/21]

None __init__	(		self,
		MillerIndex	other )

__init__() [19/21]

None __init__	(		self,
		Tensor	other )

__init__() [20/21]

None __init__	(		self,
		Scalar	other )

__init__() [21/21]

None __init__	(		self,
		torch.Tensor	tensor,
		int	intmd_dim = 0 )

Member Function Documentation

__add__() [1/3]

WFFR4 __add__	(	WFFR4	self,
		float	arg0 )

__add__() [2/3]

WFFR4 __add__	(	WFFR4	self,
		Scalar	arg0 )

__add__() [3/3]

WFFR4 __add__	(	WFFR4	self,
		WFFR4	arg0 )

__iadd__()

WFFR4 __iadd__	(	WFFR4	self,
		float	arg0 )

__imul__()

WFFR4 __imul__	(	WFFR4	self,
		float	arg0 )

__isub__()

WFFR4 __isub__	(	WFFR4	self,
		float	arg0 )

__itruediv__()

WFFR4 __itruediv__	(	WFFR4	self,
		float	arg0 )

__mul__() [1/2]

WFFR4 __mul__	(	WFFR4	self,
		float	arg0 )

__mul__() [2/2]

WFFR4 __mul__	(	WFFR4	self,
		Scalar	arg0 )

__neg__()

WFFR4 __neg__

(

WFFR4

self

)

__pow__()

WFFR4 __pow__	(	WFFR4	self,
		float	arg0 )

__radd__() [1/2]

WFFR4 __radd__	(	WFFR4	self,
		float	arg0 )

__radd__() [2/2]

WFFR4 __radd__	(	WFFR4	self,
		Scalar	arg0 )

__repr__()

str __repr__

(

WFFR4

self

)

__rmul__() [1/2]

WFFR4 __rmul__	(	WFFR4	self,
		float	arg0 )

__rmul__() [2/2]

WFFR4 __rmul__	(	WFFR4	self,
		Scalar	arg0 )

__rsub__() [1/2]

WFFR4 __rsub__	(	WFFR4	self,
		float	arg0 )

__rsub__() [2/2]

WFFR4 __rsub__	(	WFFR4	self,
		Scalar	arg0 )

__rtruediv__() [1/2]

WFFR4 __rtruediv__	(	WFFR4	self,
		float	arg0 )

__rtruediv__() [2/2]

WFFR4 __rtruediv__	(	WFFR4	self,
		Scalar	arg0 )

__str__()

str __str__

(

WFFR4

self

)

__sub__() [1/3]

WFFR4 __sub__	(	WFFR4	self,
		float	arg0 )

__sub__() [2/3]

WFFR4 __sub__	(	WFFR4	self,
		Scalar	arg0 )

__sub__() [3/3]

WFFR4 __sub__	(	WFFR4	self,
		WFFR4	arg0 )

__truediv__() [1/2]

WFFR4 __truediv__	(	WFFR4	self,
		float	arg0 )

__truediv__() [2/2]

WFFR4 __truediv__	(	WFFR4	self,
		Scalar	arg0 )

base()

WFFR4BaseView base

(

self

)

batch()

WFFR4BatchView batch

(

self

)

clone()

WFFR4 clone

(

WFFR4

self

)

contiguous()

WFFR4 contiguous

(

WFFR4

self

)

copy_()

torch.Tensor copy_	(	WFFR4	self,
		torch.Tensor	arg0,
		bool	arg1 )

defined()

bool defined

(

WFFR4

self

)

detach()

WFFR4 detach

(

WFFR4

self

)

detach_()

torch.Tensor detach_

(

WFFR4

self

)

device()

torch.device device

(

self

)

dim()

int dim

(

WFFR4

self

)

dtype()

torch.dtype dtype

(

self

)

dynamic()

WFFR4DynamicView dynamic

(

self

)

dynamic_linspace()

WFFR4 dynamic_linspace ( WFFR4 start, WFFR4 end, int step, int dim = 0 )

static

dynamic_logspace()

WFFR4 dynamic_logspace ( WFFR4 start, WFFR4 end, int step, int dim = 0, Number | torch.SymInt | torch.SymFloat | torch.SymBool base = 10.0 )

static

empty() [1/2]

WFFR4 empty ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty() [2/2]

WFFR4 empty ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty_like()

WFFR4 empty_like ( WFFR4 arg0 )

static

full() [1/2]

WFFR4 full ( float fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full() [2/2]

WFFR4 full ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes, float fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full_like()

WFFR4 full_like ( WFFR4 other, float fill_value )

static

grad()

torch.Tensor grad

(

self

)

intmd()

WFFR4IntmdView intmd

(

self

)

intmd_linspace()

WFFR4 intmd_linspace ( WFFR4 start, WFFR4 end, int step, int dim = 0 )

static

intmd_logspace()

WFFR4 intmd_logspace ( WFFR4 start, WFFR4 end, int step, int dim = 0, Number | torch.SymInt | torch.SymFloat | torch.SymBool base = 10.0 )

static

item()

Number | torch.SymInt | torch.SymFloat | torch.SymBool item

(

WFFR4

self

)

norm()

Scalar norm

(

WFFR4

self

)

ones() [1/2]

WFFR4 ones ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones() [2/2]

WFFR4 ones ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones_like()

WFFR4 ones_like ( WFFR4 arg0 )

static

rand() [1/2]

WFFR4 rand ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

rand() [2/2]

WFFR4 rand ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

rand_like()

WFFR4 rand_like ( WFFR4 arg0 )

static

requires_grad()

bool requires_grad

(

self

)

requires_grad_()

torch.Tensor requires_grad_	(	WFFR4	self,
		bool	arg0 )

shape()

tuple[int, ...] shape

(

self

)

static()

WFFR4StaticView static

(

self

)

tensor()

Tensor tensor

(

WFFR4

self

)

to()

WFFR4 to	(	WFFR4	self,
		*	,
		torch.dtype	dtype = ...,
		torch.device	device = ...,
		bool	requires_grad = False )

torch()

torch.Tensor torch

(

WFFR4

self

)

zero_()

torch.Tensor zero_

(

WFFR4

self

)

zeros() [1/2]

WFFR4 zeros ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros() [2/2]

WFFR4 zeros ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros_like()

WFFR4 zeros_like ( WFFR4 arg0 )

static