WR2 Class Reference

Public Member Functions
WR2	__add__ (WR2 self, WR2 arg0)
WR2	__add__ (WR2 self, Scalar arg0)
WR2	__add__ (WR2 self, float arg0)
WR2	__iadd__ (WR2 self, float arg0)
WR2	__imul__ (WR2 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)
WR2	__isub__ (WR2 self, float arg0)
WR2	__itruediv__ (WR2 self, float arg0)
WR2	__mul__ (WR2 self, Scalar arg0)
WR2	__mul__ (WR2 self, float arg0)
WR2	__neg__ (WR2 self)
WR2	__pow__ (WR2 self, float arg0)
WR2	__radd__ (WR2 self, Scalar arg0)
WR2	__radd__ (WR2 self, float arg0)
str	__repr__ (WR2 self)
WR2	__rmul__ (WR2 self, Scalar arg0)
WR2	__rmul__ (WR2 self, float arg0)
WR2	__rsub__ (WR2 self, Scalar arg0)
WR2	__rsub__ (WR2 self, float arg0)
WR2	__rtruediv__ (WR2 self, Scalar arg0)
WR2	__rtruediv__ (WR2 self, float arg0)
str	__str__ (WR2 self)
WR2	__sub__ (WR2 self, WR2 arg0)
WR2	__sub__ (WR2 self, Scalar arg0)
WR2	__sub__ (WR2 self, float arg0)
WR2	__truediv__ (WR2 self, Scalar arg0)
WR2	__truediv__ (WR2 self, float arg0)
WR2	clone (WR2 self)
WR2	contiguous (WR2 self)
torch.Tensor	copy_ (WR2 self, torch.Tensor arg0, bool arg1)
bool	defined (WR2 self)
WR2	detach (WR2 self)
torch.Tensor	detach_ (WR2 self)
int	dim (WR2 self)
Number|torch.SymInt|torch.SymFloat|torch.SymBool	item (WR2 self)
Scalar	norm (WR2 self)
torch.Tensor	requires_grad_ (WR2 self, bool arg0)
Tensor	tensor (WR2 self)
WR2	to (WR2 self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
torch.Tensor	torch (WR2 self)
torch.Tensor	zero_ (WR2 self)
WR2BaseView	base (self)
WR2BatchView	batch (self)
torch.device	device (self)
torch.dtype	dtype (self)
WR2DynamicView	dynamic (self)
torch.Tensor	grad (self)
WR2IntmdView	intmd (self)
bool	requires_grad (self)
tuple[int,...]	shape (self)
WR2StaticView	static (self)

Static Public Member Functions
WR2	dynamic_linspace (WR2 start, WR2 end, int step, int dim=0)
WR2	dynamic_logspace (WR2 start, WR2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
WR2	empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	empty_like (WR2 arg0)
WR2	full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	full (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	full_like (WR2 other, float fill_value)
WR2	intmd_linspace (WR2 start, WR2 end, int step, int dim=0)
WR2	intmd_logspace (WR2 start, WR2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
WR2	ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	ones (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	ones_like (WR2 arg0)
WR2	rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	rand_like (WR2 arg0)
WR2	zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	zeros (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	zeros_like (WR2 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]

WR2 __add__	(	WR2	self,
		float	arg0 )

__add__() [2/3]

WR2 __add__	(	WR2	self,
		Scalar	arg0 )

__add__() [3/3]

WR2 __add__	(	WR2	self,
		WR2	arg0 )

__iadd__()

WR2 __iadd__	(	WR2	self,
		float	arg0 )

__imul__()

WR2 __imul__	(	WR2	self,
		float	arg0 )

__isub__()

WR2 __isub__	(	WR2	self,
		float	arg0 )

__itruediv__()

WR2 __itruediv__	(	WR2	self,
		float	arg0 )

__mul__() [1/2]

WR2 __mul__	(	WR2	self,
		float	arg0 )

__mul__() [2/2]

WR2 __mul__	(	WR2	self,
		Scalar	arg0 )

__neg__()

WR2 __neg__

(

WR2

self

)

__pow__()

WR2 __pow__	(	WR2	self,
		float	arg0 )

__radd__() [1/2]

WR2 __radd__	(	WR2	self,
		float	arg0 )

__radd__() [2/2]

WR2 __radd__	(	WR2	self,
		Scalar	arg0 )

__repr__()

str __repr__

(

WR2

self

)

__rmul__() [1/2]

WR2 __rmul__	(	WR2	self,
		float	arg0 )

__rmul__() [2/2]

WR2 __rmul__	(	WR2	self,
		Scalar	arg0 )

__rsub__() [1/2]

WR2 __rsub__	(	WR2	self,
		float	arg0 )

__rsub__() [2/2]

WR2 __rsub__	(	WR2	self,
		Scalar	arg0 )

__rtruediv__() [1/2]

WR2 __rtruediv__	(	WR2	self,
		float	arg0 )

__rtruediv__() [2/2]

WR2 __rtruediv__	(	WR2	self,
		Scalar	arg0 )

__str__()

str __str__

(

WR2

self

)

__sub__() [1/3]

WR2 __sub__	(	WR2	self,
		float	arg0 )

__sub__() [2/3]

WR2 __sub__	(	WR2	self,
		Scalar	arg0 )

__sub__() [3/3]

WR2 __sub__	(	WR2	self,
		WR2	arg0 )

__truediv__() [1/2]

WR2 __truediv__	(	WR2	self,
		float	arg0 )

__truediv__() [2/2]

WR2 __truediv__	(	WR2	self,
		Scalar	arg0 )

base()

WR2BaseView base

(

self

)

batch()

WR2BatchView batch

(

self

)

clone()

WR2 clone

(

WR2

self

)

contiguous()

WR2 contiguous

(

WR2

self

)

copy_()

torch.Tensor copy_	(	WR2	self,
		torch.Tensor	arg0,
		bool	arg1 )

defined()

bool defined

(

WR2

self

)

detach()

WR2 detach

(

WR2

self

)

detach_()

torch.Tensor detach_

(

WR2

self

)

device()

torch.device device

(

self

)

dim()

int dim

(

WR2

self

)

dtype()

torch.dtype dtype

(

self

)

dynamic()

WR2DynamicView dynamic

(

self

)

dynamic_linspace()

WR2 dynamic_linspace ( WR2 start, WR2 end, int step, int dim = 0 )

static

dynamic_logspace()

WR2 dynamic_logspace ( WR2 start, WR2 end, int step, int dim = 0, Number | torch.SymInt | torch.SymFloat | torch.SymBool base = 10.0 )

static

empty() [1/2]

WR2 empty ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty() [2/2]

WR2 empty ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty_like()

WR2 empty_like ( WR2 arg0 )

static

full() [1/2]

WR2 full ( float fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full() [2/2]

WR2 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()

WR2 full_like ( WR2 other, float fill_value )

static

grad()

torch.Tensor grad

(

self

)

intmd()

WR2IntmdView intmd

(

self

)

intmd_linspace()

WR2 intmd_linspace ( WR2 start, WR2 end, int step, int dim = 0 )

static

intmd_logspace()

WR2 intmd_logspace ( WR2 start, WR2 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

(

WR2

self

)

norm()

Scalar norm

(

WR2

self

)

ones() [1/2]

WR2 ones ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones() [2/2]

WR2 ones ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones_like()

WR2 ones_like ( WR2 arg0 )

static

rand() [1/2]

WR2 rand ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

rand() [2/2]

WR2 rand ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

rand_like()

WR2 rand_like ( WR2 arg0 )

static

requires_grad()

bool requires_grad

(

self

)

requires_grad_()

torch.Tensor requires_grad_	(	WR2	self,
		bool	arg0 )

shape()

tuple[int, ...] shape

(

self

)

static()

WR2StaticView static

(

self

)

tensor()

Tensor tensor

(

WR2

self

)

to()

WR2 to	(	WR2	self,
		*	,
		torch.dtype	dtype = ...,
		torch.device	device = ...,
		bool	requires_grad = False )

torch()

torch.Tensor torch

(

WR2

self

)

zero_()

torch.Tensor zero_

(

WR2

self

)

zeros() [1/2]

WR2 zeros ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros() [2/2]

WR2 zeros ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros_like()

WR2 zeros_like ( WR2 arg0 )

static