WR2 Class Reference

Public Member Functions
WR2	__add__ (self, float arg0)
WR2	__add__ (self, Scalar arg0)
WR2	__add__ (self, WR2 arg0)
Scalar	__call__ (self, int arg0, int arg1)
Scalar	__call__ (self, int arg0, int arg1)
None	__init__ (self)
None	__init__ (self, torch.Tensor arg0, int arg1)
None	__init__ (self, WR2 arg0)
None	__init__ (self, torch.Tensor arg0)
None	__init__ (self, R2 arg0)
WR2	__mul__ (self, float arg0)
WR2	__mul__ (self, Scalar arg0)
WR2	__neg__ (self)
WR2	__pow__ (self, float arg0)
WR2	__pow__ (self, Scalar arg0)
WR2	__radd__ (self, float arg0)
str	__repr__ (self)
WR2	__rmul__ (self, float arg0)
Tensor	__rpow__ (self, float arg0)
WR2	__rsub__ (self, float arg0)
WR2	__rtruediv__ (self, float arg0)
str	__str__ (self)
WR2	__sub__ (self, float arg0)
WR2	__sub__ (self, Scalar arg0)
WR2	__sub__ (self, WR2 arg0)
WR2	__truediv__ (self, float arg0)
WR2	__truediv__ (self, Scalar arg0)
WR2	__truediv__ (self, WR2 arg0)
bool	batched (self)
WR2	clone (self)
torch.Tensor	copy_ (self, torch.Tensor arg0, bool arg1)
WR2	cross (self, Vec arg0)
WR2	cross (self, Rot arg0)
WR2	cross (self, WR2 arg0)
bool	defined (self)
WR2	detach (self)
torch.Tensor	detach_ (self)
R2	dexp (self)
int	dim (self)
Scalar	dot (self, Vec arg0)
Scalar	dot (self, Rot arg0)
Scalar	dot (self, WR2 arg0)
R2	drotate (self, Rot arg0)
Rot	exp (self)
Scalar	norm (self)
Scalar	norm_sq (self)
R2	outer (self, Vec arg0)
R2	outer (self, Rot arg0)
R2	outer (self, WR2 arg0)
torch.Tensor	requires_grad_ (self, bool arg0)
WR2	rotate (self, Rot arg0)
Tensor	tensor (self)
WR2	to (self, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
torch.Tensor	torch (self)
torch.Tensor	torch (self)
torch.Tensor	zero_ (self)
WR2BaseView	base (self)
WR2BatchView	batch (self)
torch.device	device (self)
torch.dtype	dtype (self)
torch.Tensor	grad (self)
bool	requires_grad (self)
tuple[int,...]	shape (self)

Static Public Member Functions
WR2	empty (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	empty (tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	empty_like (WR2 arg0)
WR2	fill (float x, float y, float z, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	fill (Scalar x, Scalar y, Scalar z)
WR2	full (float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	full (tuple[int,...] batch_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	full_like (WR2 arg0, float arg1)
R2	identity_map (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	linspace (WR2 start, WR2 end, int nstep, int dim=0, int batch_dim=-1)
WR2	logspace (WR2 start, WR2 end, int nstep, int dim=0, int batch_dim=-1, float base=10.0)
WR2	ones (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	ones (tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	ones_like (WR2 arg0)
WR2	zeros (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	zeros (tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	zeros_like (WR2 arg0)

Constructor & Destructor Documentation

__init__() [1/5]

None __init__

(

self

)

__init__() [2/5]

None __init__	(		self,
		torch.Tensor	arg0,
		int	arg1 )

__init__() [3/5]

None __init__	(		self,
		WR2	arg0 )

__init__() [4/5]

None __init__	(		self,
		torch.Tensor	arg0 )

__init__() [5/5]

None __init__	(		self,
		R2	arg0 )

Member Function Documentation

__add__() [1/3]

WR2 __add__	(		self,
		float	arg0 )

__add__() [2/3]

WR2 __add__	(		self,
		Scalar	arg0 )

__add__() [3/3]

WR2 __add__	(		self,
		WR2	arg0 )

__call__() [1/2]

Scalar __call__	(		self,
		int	arg0,
		int	arg1 )

__call__() [2/2]

Scalar __call__	(		self,
		int	arg0,
		int	arg1 )

__mul__() [1/2]

WR2 __mul__	(		self,
		float	arg0 )

__mul__() [2/2]

WR2 __mul__	(		self,
		Scalar	arg0 )

__neg__()

WR2 __neg__

(

self

)

__pow__() [1/2]

WR2 __pow__	(		self,
		float	arg0 )

__pow__() [2/2]

WR2 __pow__	(		self,
		Scalar	arg0 )

__radd__()

WR2 __radd__	(		self,
		float	arg0 )

__repr__()

str __repr__

(

self

)

__rmul__()

WR2 __rmul__	(		self,
		float	arg0 )

__rpow__()

Tensor __rpow__	(		self,
		float	arg0 )

__rsub__()

WR2 __rsub__	(		self,
		float	arg0 )

__rtruediv__()

WR2 __rtruediv__	(		self,
		float	arg0 )

__str__()

str __str__

(

self

)

__sub__() [1/3]

WR2 __sub__	(		self,
		float	arg0 )

__sub__() [2/3]

WR2 __sub__	(		self,
		Scalar	arg0 )

__sub__() [3/3]

WR2 __sub__	(		self,
		WR2	arg0 )

__truediv__() [1/3]

WR2 __truediv__	(		self,
		float	arg0 )

__truediv__() [2/3]

WR2 __truediv__	(		self,
		Scalar	arg0 )

__truediv__() [3/3]

WR2 __truediv__	(		self,
		WR2	arg0 )

base()

WR2BaseView base

(

self

)

batch()

WR2BatchView batch

(

self

)

batched()

bool batched

(

self

)

clone()

WR2 clone

(

self

)

copy_()

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

cross() [1/3]

WR2 cross	(		self,
		Rot	arg0 )

cross() [2/3]

WR2 cross	(		self,
		Vec	arg0 )

cross() [3/3]

WR2 cross	(		self,
		WR2	arg0 )

defined()

bool defined

(

self

)

detach()

WR2 detach

(

self

)

detach_()

torch.Tensor detach_

(

self

)

device()

torch.device device

(

self

)

dexp()

R2 dexp

(

self

)

dim()

int dim

(

self

)

dot() [1/3]

Scalar dot	(		self,
		Rot	arg0 )

dot() [2/3]

Scalar dot	(		self,
		Vec	arg0 )

dot() [3/3]

Scalar dot	(		self,
		WR2	arg0 )

drotate()

R2 drotate	(		self,
		Rot	arg0 )

dtype()

torch.dtype dtype

(

self

)

empty() [1/2]

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

static

empty() [2/2]

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

static

empty_like()

WR2 empty_like ( WR2 arg0 )

static

exp()

Rot exp

(

self

)

fill() [1/2]

WR2 fill ( float x, float y, float z, *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

fill() [2/2]

WR2 fill ( Scalar x, Scalar y, Scalar z )

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, ...] batch_shape, float fill_value, *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full_like()

WR2 full_like ( WR2 arg0, float arg1 )

static

grad()

torch.Tensor grad

(

self

)

identity_map()

R2 identity_map ( *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

linspace()

WR2 linspace ( WR2 start, WR2 end, int nstep, int dim = 0, int batch_dim = -1 )

static

logspace()

WR2 logspace ( WR2 start, WR2 end, int nstep, int dim = 0, int batch_dim = -1, float base = 10.0 )

static

norm()

Scalar norm

(

self

)

norm_sq()

Scalar norm_sq

(

self

)

ones() [1/2]

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

static

ones() [2/2]

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

static

ones_like()

WR2 ones_like ( WR2 arg0 )

static

outer() [1/3]

R2 outer	(		self,
		Rot	arg0 )

outer() [2/3]

R2 outer	(		self,
		Vec	arg0 )

outer() [3/3]

R2 outer	(		self,
		WR2	arg0 )

requires_grad()

bool requires_grad

(

self

)

requires_grad_()

torch.Tensor requires_grad_	(		self,
		bool	arg0 )

rotate()

WR2 rotate	(		self,
		Rot	arg0 )

shape()

tuple[int, ...] shape

(

self

)

tensor()

Tensor tensor

(

self

)

to()

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

torch() [1/2]

torch.Tensor torch

(

self

)

torch() [2/2]

torch.Tensor torch

(

self

)

zero_()

torch.Tensor zero_

(

self

)

zeros() [1/2]

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

static

zeros() [2/2]

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

static

zeros_like()

WR2 zeros_like ( WR2 arg0 )

static