WR2 Class Reference

Public Member Functions
WR2	__add__ (self, typing.SupportsFloat arg0)
WR2	__add__ (self, Scalar arg0)
WR2	__add__ (self, WR2 arg0)
Scalar	__call__ (self, typing.SupportsInt arg0, typing.SupportsInt arg1)
Scalar	__call__ (self, typing.SupportsInt arg0, typing.SupportsInt arg1)
WR2	__iadd__ (self, typing.SupportsFloat arg0)
WR2	__imul__ (self, typing.SupportsFloat arg0)
None	__init__ (self)
None	__init__ (self, torch.Tensor arg0, typing.SupportsInt arg1)
None	__init__ (self, WR2 arg0)
None	__init__ (self, torch.Tensor arg0)
None	__init__ (self, R2 arg0)
WR2	__isub__ (self, typing.SupportsFloat arg0)
WR2	__itruediv__ (self, typing.SupportsFloat arg0)
WR2	__mul__ (self, typing.SupportsFloat arg0)
WR2	__mul__ (self, Scalar arg0)
WR2	__neg__ (self)
WR2	__pow__ (self, typing.SupportsFloat arg0)
WR2	__pow__ (self, Scalar arg0)
WR2	__radd__ (self, typing.SupportsFloat arg0)
str	__repr__ (self)
WR2	__rmul__ (self, typing.SupportsFloat arg0)
Tensor	__rpow__ (self, typing.SupportsFloat arg0)
WR2	__rsub__ (self, typing.SupportsFloat arg0)
WR2	__rtruediv__ (self, typing.SupportsFloat arg0)
str	__str__ (self)
WR2	__sub__ (self, typing.SupportsFloat arg0)
WR2	__sub__ (self, Scalar arg0)
WR2	__sub__ (self, WR2 arg0)
WR2	__truediv__ (self, typing.SupportsFloat arg0)
WR2	__truediv__ (self, Scalar arg0)
torch.Tensor	__truediv__ (self, WR2 arg0)
bool	batched (self)
WR2	clone (self)
torch.Tensor	copy_ (self, torch.Tensor arg0, bool arg1)
bool	defined (self)
WR2	detach (self)
torch.Tensor	detach_ (self)
R2	dexp (self)
int	dim (self)
R2	drotate (self, Rot arg0)
Rot	exp (self)
Number|torch.SymInt|torch.SymFloat|torch.SymBool	item (self)
Scalar	norm (self)
Scalar	norm_sq (self)
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 (typing.SupportsFloat x, typing.SupportsFloat y, typing.SupportsFloat z, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	fill (Scalar x, Scalar y, Scalar z)
WR2	full (typing.SupportsFloat fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	full (tuple[int,...] batch_shape, typing.SupportsFloat fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	full_like (WR2 other, typing.SupportsFloat fill_value)
R2	identity_map (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
WR2	linspace (WR2 start, WR2 end, typing.SupportsInt nstep, typing.SupportsInt dim=0)
WR2	logspace (WR2 start, WR2 end, typing.SupportsInt nstep, typing.SupportsInt dim=0, typing.SupportsFloat 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,
		typing.SupportsInt	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,
		Scalar	arg0 )

__add__() [2/3]

WR2 __add__	(		self,
		typing.SupportsFloat	arg0 )

__add__() [3/3]

WR2 __add__	(		self,
		WR2	arg0 )

__call__() [1/2]

Scalar __call__	(		self,
		typing.SupportsInt	arg0,
		typing.SupportsInt	arg1 )

__call__() [2/2]

Scalar __call__	(		self,
		typing.SupportsInt	arg0,
		typing.SupportsInt	arg1 )

__iadd__()

WR2 __iadd__	(		self,
		typing.SupportsFloat	arg0 )

__imul__()

WR2 __imul__	(		self,
		typing.SupportsFloat	arg0 )

__isub__()

WR2 __isub__	(		self,
		typing.SupportsFloat	arg0 )

__itruediv__()

WR2 __itruediv__	(		self,
		typing.SupportsFloat	arg0 )

__mul__() [1/2]

WR2 __mul__	(		self,
		Scalar	arg0 )

__mul__() [2/2]

WR2 __mul__	(		self,
		typing.SupportsFloat	arg0 )

__neg__()

WR2 __neg__

(

self

)

__pow__() [1/2]

WR2 __pow__	(		self,
		Scalar	arg0 )

__pow__() [2/2]

WR2 __pow__	(		self,
		typing.SupportsFloat	arg0 )

__radd__()

WR2 __radd__	(		self,
		typing.SupportsFloat	arg0 )

__repr__()

str __repr__

(

self

)

__rmul__()

WR2 __rmul__	(		self,
		typing.SupportsFloat	arg0 )

__rpow__()

Tensor __rpow__	(		self,
		typing.SupportsFloat	arg0 )

__rsub__()

WR2 __rsub__	(		self,
		typing.SupportsFloat	arg0 )

__rtruediv__()

WR2 __rtruediv__	(		self,
		typing.SupportsFloat	arg0 )

__str__()

str __str__

(

self

)

__sub__() [1/3]

WR2 __sub__	(		self,
		Scalar	arg0 )

__sub__() [2/3]

WR2 __sub__	(		self,
		typing.SupportsFloat	arg0 )

__sub__() [3/3]

WR2 __sub__	(		self,
		WR2	arg0 )

__truediv__() [1/3]

WR2 __truediv__	(		self,
		Scalar	arg0 )

__truediv__() [2/3]

WR2 __truediv__	(		self,
		typing.SupportsFloat	arg0 )

__truediv__() [3/3]

torch.Tensor __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 )

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

)

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 ( Scalar x, Scalar y, Scalar z )

static

fill() [2/2]

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

static

full() [1/2]

WR2 full ( tuple[int, ...] batch_shape, typing.SupportsFloat fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full() [2/2]

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

static

full_like()

WR2 full_like ( WR2 other, typing.SupportsFloat fill_value )

static

grad()

torch.Tensor grad

(

self

)

identity_map()

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

static

item()

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

(

self

)

linspace()

WR2 linspace ( WR2 start, WR2 end, typing.SupportsInt nstep, typing.SupportsInt dim = 0 )

static

logspace()

WR2 logspace ( WR2 start, WR2 end, typing.SupportsInt nstep, typing.SupportsInt dim = 0, typing.SupportsFloat 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

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