WWR4 Class Reference

Public Member Functions
WWR4	__add__ (WWR4 self, WWR4 arg0)
WWR4	__add__ (WWR4 self, Scalar arg0)
WWR4	__add__ (WWR4 self, float arg0)
WWR4	__iadd__ (WWR4 self, float arg0)
WWR4	__imul__ (WWR4 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)
WWR4	__isub__ (WWR4 self, float arg0)
WWR4	__itruediv__ (WWR4 self, float arg0)
WWR4	__mul__ (WWR4 self, Scalar arg0)
WWR4	__mul__ (WWR4 self, float arg0)
WWR4	__neg__ (WWR4 self)
WWR4	__pow__ (WWR4 self, float arg0)
WWR4	__radd__ (WWR4 self, Scalar arg0)
WWR4	__radd__ (WWR4 self, float arg0)
str	__repr__ (WWR4 self)
WWR4	__rmul__ (WWR4 self, Scalar arg0)
WWR4	__rmul__ (WWR4 self, float arg0)
WWR4	__rsub__ (WWR4 self, Scalar arg0)
WWR4	__rsub__ (WWR4 self, float arg0)
WWR4	__rtruediv__ (WWR4 self, Scalar arg0)
WWR4	__rtruediv__ (WWR4 self, float arg0)
str	__str__ (WWR4 self)
WWR4	__sub__ (WWR4 self, WWR4 arg0)
WWR4	__sub__ (WWR4 self, Scalar arg0)
WWR4	__sub__ (WWR4 self, float arg0)
WWR4	__truediv__ (WWR4 self, Scalar arg0)
WWR4	__truediv__ (WWR4 self, float arg0)
WWR4	clone (WWR4 self)
WWR4	contiguous (WWR4 self)
torch.Tensor	copy_ (WWR4 self, torch.Tensor arg0, bool arg1)
bool	defined (WWR4 self)
WWR4	detach (WWR4 self)
torch.Tensor	detach_ (WWR4 self)
int	dim (WWR4 self)
Number|torch.SymInt|torch.SymFloat|torch.SymBool	item (WWR4 self)
Scalar	norm (WWR4 self)
torch.Tensor	requires_grad_ (WWR4 self, bool arg0)
Tensor	tensor (WWR4 self)
WWR4	to (WWR4 self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
torch.Tensor	torch (WWR4 self)
torch.Tensor	zero_ (WWR4 self)
WWR4BaseView	base (self)
WWR4BatchView	batch (self)
torch.device	device (self)
torch.dtype	dtype (self)
WWR4DynamicView	dynamic (self)
torch.Tensor	grad (self)
WWR4IntmdView	intmd (self)
bool	requires_grad (self)
tuple[int,...]	shape (self)
WWR4StaticView	static (self)

Static Public Member Functions
WWR4	dynamic_linspace (WWR4 start, WWR4 end, int step, int dim=0)
WWR4	dynamic_logspace (WWR4 start, WWR4 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
WWR4	empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	empty_like (WWR4 arg0)
WWR4	full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	full (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	full_like (WWR4 other, float fill_value)
WWR4	intmd_linspace (WWR4 start, WWR4 end, int step, int dim=0)
WWR4	intmd_logspace (WWR4 start, WWR4 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
WWR4	ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	ones (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	ones_like (WWR4 arg0)
WWR4	rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	rand_like (WWR4 arg0)
WWR4	zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	zeros (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WWR4	zeros_like (WWR4 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]

WWR4 __add__	(	WWR4	self,
		float	arg0 )

__add__() [2/3]

WWR4 __add__	(	WWR4	self,
		Scalar	arg0 )

__add__() [3/3]

WWR4 __add__	(	WWR4	self,
		WWR4	arg0 )

__iadd__()

WWR4 __iadd__	(	WWR4	self,
		float	arg0 )

__imul__()

WWR4 __imul__	(	WWR4	self,
		float	arg0 )

__isub__()

WWR4 __isub__	(	WWR4	self,
		float	arg0 )

__itruediv__()

WWR4 __itruediv__	(	WWR4	self,
		float	arg0 )

__mul__() [1/2]

WWR4 __mul__	(	WWR4	self,
		float	arg0 )

__mul__() [2/2]

WWR4 __mul__	(	WWR4	self,
		Scalar	arg0 )

__neg__()

WWR4 __neg__

(

WWR4

self

)

__pow__()

WWR4 __pow__	(	WWR4	self,
		float	arg0 )

__radd__() [1/2]

WWR4 __radd__	(	WWR4	self,
		float	arg0 )

__radd__() [2/2]

WWR4 __radd__	(	WWR4	self,
		Scalar	arg0 )

__repr__()

str __repr__

(

WWR4

self

)

__rmul__() [1/2]

WWR4 __rmul__	(	WWR4	self,
		float	arg0 )

__rmul__() [2/2]

WWR4 __rmul__	(	WWR4	self,
		Scalar	arg0 )

__rsub__() [1/2]

WWR4 __rsub__	(	WWR4	self,
		float	arg0 )

__rsub__() [2/2]

WWR4 __rsub__	(	WWR4	self,
		Scalar	arg0 )

__rtruediv__() [1/2]

WWR4 __rtruediv__	(	WWR4	self,
		float	arg0 )

__rtruediv__() [2/2]

WWR4 __rtruediv__	(	WWR4	self,
		Scalar	arg0 )

__str__()

str __str__

(

WWR4

self

)

__sub__() [1/3]

WWR4 __sub__	(	WWR4	self,
		float	arg0 )

__sub__() [2/3]

WWR4 __sub__	(	WWR4	self,
		Scalar	arg0 )

__sub__() [3/3]

WWR4 __sub__	(	WWR4	self,
		WWR4	arg0 )

__truediv__() [1/2]

WWR4 __truediv__	(	WWR4	self,
		float	arg0 )

__truediv__() [2/2]

WWR4 __truediv__	(	WWR4	self,
		Scalar	arg0 )

base()

WWR4BaseView base

(

self

)

batch()

WWR4BatchView batch

(

self

)

clone()

WWR4 clone

(

WWR4

self

)

contiguous()

WWR4 contiguous

(

WWR4

self

)

copy_()

torch.Tensor copy_	(	WWR4	self,
		torch.Tensor	arg0,
		bool	arg1 )

defined()

bool defined

(

WWR4

self

)

detach()

WWR4 detach

(

WWR4

self

)

detach_()

torch.Tensor detach_

(

WWR4

self

)

device()

torch.device device

(

self

)

dim()

int dim

(

WWR4

self

)

dtype()

torch.dtype dtype

(

self

)

dynamic()

WWR4DynamicView dynamic

(

self

)

dynamic_linspace()

WWR4 dynamic_linspace ( WWR4 start, WWR4 end, int step, int dim = 0 )

static

dynamic_logspace()

WWR4 dynamic_logspace ( WWR4 start, WWR4 end, int step, int dim = 0, Number | torch.SymInt | torch.SymFloat | torch.SymBool base = 10.0 )

static

empty() [1/2]

WWR4 empty ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty() [2/2]

WWR4 empty ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty_like()

WWR4 empty_like ( WWR4 arg0 )

static

full() [1/2]

WWR4 full ( float fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full() [2/2]

WWR4 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()

WWR4 full_like ( WWR4 other, float fill_value )

static

grad()

torch.Tensor grad

(

self

)

intmd()

WWR4IntmdView intmd

(

self

)

intmd_linspace()

WWR4 intmd_linspace ( WWR4 start, WWR4 end, int step, int dim = 0 )

static

intmd_logspace()

WWR4 intmd_logspace ( WWR4 start, WWR4 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

(

WWR4

self

)

norm()

Scalar norm

(

WWR4

self

)

ones() [1/2]

WWR4 ones ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones() [2/2]

WWR4 ones ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones_like()

WWR4 ones_like ( WWR4 arg0 )

static

rand() [1/2]

WWR4 rand ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

rand() [2/2]

WWR4 rand ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

rand_like()

WWR4 rand_like ( WWR4 arg0 )

static

requires_grad()

bool requires_grad

(

self

)

requires_grad_()

torch.Tensor requires_grad_	(	WWR4	self,
		bool	arg0 )

shape()

tuple[int, ...] shape

(

self

)

static()

WWR4StaticView static

(

self

)

tensor()

Tensor tensor

(

WWR4

self

)

to()

WWR4 to	(	WWR4	self,
		*	,
		torch.dtype	dtype = ...,
		torch.device	device = ...,
		bool	requires_grad = False )

torch()

torch.Tensor torch

(

WWR4

self

)

zero_()

torch.Tensor zero_

(

WWR4

self

)

zeros() [1/2]

WWR4 zeros ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros() [2/2]

WWR4 zeros ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros_like()

WWR4 zeros_like ( WWR4 arg0 )

static