R2 Class Reference

Public Member Functions
R2	__add__ (R2 self, R2 arg0)
R2	__add__ (R2 self, Scalar arg0)
R2	__add__ (R2 self, float arg0)
R2	__iadd__ (R2 self, float arg0)
R2	__imul__ (R2 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)
R2	__isub__ (R2 self, float arg0)
R2	__itruediv__ (R2 self, float arg0)
R2	__mul__ (R2 self, R2 arg0)
Vec	__mul__ (R2 self, Vec arg0)
R2	__mul__ (R2 self, Scalar arg0)
R2	__mul__ (R2 self, float arg0)
R2	__neg__ (R2 self)
R2	__pow__ (R2 self, float arg0)
R2	__radd__ (R2 self, Scalar arg0)
R2	__radd__ (R2 self, float arg0)
str	__repr__ (R2 self)
R2	__rmul__ (R2 self, Scalar arg0)
R2	__rmul__ (R2 self, float arg0)
R2	__rsub__ (R2 self, Scalar arg0)
R2	__rsub__ (R2 self, float arg0)
R2	__rtruediv__ (R2 self, Scalar arg0)
R2	__rtruediv__ (R2 self, float arg0)
str	__str__ (R2 self)
R2	__sub__ (R2 self, R2 arg0)
R2	__sub__ (R2 self, Scalar arg0)
R2	__sub__ (R2 self, float arg0)
R2	__truediv__ (R2 self, Scalar arg0)
R2	__truediv__ (R2 self, float arg0)
R2	clone (R2 self)
R2	contiguous (R2 self)
torch.Tensor	copy_ (R2 self, torch.Tensor arg0, bool arg1)
bool	defined (R2 self)
R2	detach (R2 self)
torch.Tensor	detach_ (R2 self)
int	dim (R2 self)
R2	inv (R2 self)
Number|torch.SymInt|torch.SymFloat|torch.SymBool	item (R2 self)
Scalar	norm (R2 self)
torch.Tensor	requires_grad_ (R2 self, bool arg0)
Tensor	tensor (R2 self)
R2	to (R2 self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
torch.Tensor	torch (R2 self)
torch.Tensor	zero_ (R2 self)
R2BaseView	base (self)
R2BatchView	batch (self)
torch.device	device (self)
torch.dtype	dtype (self)
R2DynamicView	dynamic (self)
torch.Tensor	grad (self)
R2IntmdView	intmd (self)
bool	requires_grad (self)
tuple[int,...]	shape (self)
R2StaticView	static (self)

Static Public Member Functions
R2	dynamic_linspace (R2 start, R2 end, int step, int dim=0)
R2	dynamic_logspace (R2 start, R2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
R2	empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	empty_like (R2 arg0)
SR2	fill (float a, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	fill (Scalar arg0)
SR2	fill (float a11, float a22, float a33, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	fill (Scalar arg0, Scalar arg1, Scalar arg2)
SR2	fill (float a11, float a22, float a33, float a23, float a13, float a12, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	fill (Scalar arg0, Scalar arg1, Scalar arg2, Scalar arg3, Scalar arg4, Scalar arg5)
R2	fill (float a11, float a12, float a13, float a21, float a22, float a23, float a31, float a32, float a33, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	fill (Scalar arg0, Scalar arg1, Scalar arg2, Scalar arg3, Scalar arg4, Scalar arg5, Scalar arg6, Scalar arg7, Scalar arg8)
R2	full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	full (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	full_like (R2 other, float fill_value)
R2	intmd_linspace (R2 start, R2 end, int step, int dim=0)
R2	intmd_logspace (R2 start, R2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)
R2	ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	ones (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	ones_like (R2 arg0)
R2	rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	rand_like (R2 arg0)
R2	zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	zeros (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R2	zeros_like (R2 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]

R2 __add__	(	R2	self,
		float	arg0 )

__add__() [2/3]

R2 __add__	(	R2	self,
		R2	arg0 )

__add__() [3/3]

R2 __add__	(	R2	self,
		Scalar	arg0 )

__iadd__()

R2 __iadd__	(	R2	self,
		float	arg0 )

__imul__()

R2 __imul__	(	R2	self,
		float	arg0 )

__isub__()

R2 __isub__	(	R2	self,
		float	arg0 )

__itruediv__()

R2 __itruediv__	(	R2	self,
		float	arg0 )

__mul__() [1/4]

R2 __mul__	(	R2	self,
		float	arg0 )

__mul__() [2/4]

R2 __mul__	(	R2	self,
		R2	arg0 )

__mul__() [3/4]

R2 __mul__	(	R2	self,
		Scalar	arg0 )

__mul__() [4/4]

Vec __mul__	(	R2	self,
		Vec	arg0 )

__neg__()

R2 __neg__

(

R2

self

)

__pow__()

R2 __pow__	(	R2	self,
		float	arg0 )

__radd__() [1/2]

R2 __radd__	(	R2	self,
		float	arg0 )

__radd__() [2/2]

R2 __radd__	(	R2	self,
		Scalar	arg0 )

__repr__()

str __repr__

(

R2

self

)

__rmul__() [1/2]

R2 __rmul__	(	R2	self,
		float	arg0 )

__rmul__() [2/2]

R2 __rmul__	(	R2	self,
		Scalar	arg0 )

__rsub__() [1/2]

R2 __rsub__	(	R2	self,
		float	arg0 )

__rsub__() [2/2]

R2 __rsub__	(	R2	self,
		Scalar	arg0 )

__rtruediv__() [1/2]

R2 __rtruediv__	(	R2	self,
		float	arg0 )

__rtruediv__() [2/2]

R2 __rtruediv__	(	R2	self,
		Scalar	arg0 )

__str__()

str __str__

(

R2

self

)

__sub__() [1/3]

R2 __sub__	(	R2	self,
		float	arg0 )

__sub__() [2/3]

R2 __sub__	(	R2	self,
		R2	arg0 )

__sub__() [3/3]

R2 __sub__	(	R2	self,
		Scalar	arg0 )

__truediv__() [1/2]

R2 __truediv__	(	R2	self,
		float	arg0 )

__truediv__() [2/2]

R2 __truediv__	(	R2	self,
		Scalar	arg0 )

base()

R2BaseView base

(

self

)

batch()

R2BatchView batch

(

self

)

clone()

R2 clone

(

R2

self

)

contiguous()

R2 contiguous

(

R2

self

)

copy_()

torch.Tensor copy_	(	R2	self,
		torch.Tensor	arg0,
		bool	arg1 )

defined()

bool defined

(

R2

self

)

detach()

R2 detach

(

R2

self

)

detach_()

torch.Tensor detach_

(

R2

self

)

device()

torch.device device

(

self

)

dim()

int dim

(

R2

self

)

dtype()

torch.dtype dtype

(

self

)

dynamic()

R2DynamicView dynamic

(

self

)

dynamic_linspace()

R2 dynamic_linspace ( R2 start, R2 end, int step, int dim = 0 )

static

dynamic_logspace()

R2 dynamic_logspace ( R2 start, R2 end, int step, int dim = 0, Number | torch.SymInt | torch.SymFloat | torch.SymBool base = 10.0 )

static

empty() [1/2]

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

static

empty() [2/2]

R2 empty ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty_like()

R2 empty_like ( R2 arg0 )

static

fill() [1/8]

SR2 fill ( float a, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

fill() [2/8]

R2 fill ( float a11, float a12, float a13, float a21, float a22, float a23, float a31, float a32, float a33, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

fill() [3/8]

SR2 fill ( float a11, float a22, float a33, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

fill() [4/8]

SR2 fill ( float a11, float a22, float a33, float a23, float a13, float a12, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

fill() [5/8]

SR2 fill ( Scalar arg0 )

static

fill() [6/8]

SR2 fill ( Scalar arg0, Scalar arg1, Scalar arg2 )

static

fill() [7/8]

SR2 fill ( Scalar arg0, Scalar arg1, Scalar arg2, Scalar arg3, Scalar arg4, Scalar arg5 )

static

fill() [8/8]

R2 fill ( Scalar arg0, Scalar arg1, Scalar arg2, Scalar arg3, Scalar arg4, Scalar arg5, Scalar arg6, Scalar arg7, Scalar arg8 )

static

full() [1/2]

R2 full ( float fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full() [2/2]

R2 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()

R2 full_like ( R2 other, float fill_value )

static

grad()

torch.Tensor grad

(

self

)

intmd()

R2IntmdView intmd

(

self

)

intmd_linspace()

R2 intmd_linspace ( R2 start, R2 end, int step, int dim = 0 )

static

intmd_logspace()

R2 intmd_logspace ( R2 start, R2 end, int step, int dim = 0, Number | torch.SymInt | torch.SymFloat | torch.SymBool base = 10.0 )

static

inv()

R2 inv

(

R2

self

)

item()

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

(

R2

self

)

norm()

Scalar norm

(

R2

self

)

ones() [1/2]

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

static

ones() [2/2]

R2 ones ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones_like()

R2 ones_like ( R2 arg0 )

static

rand() [1/2]

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

static

rand() [2/2]

R2 rand ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

rand_like()

R2 rand_like ( R2 arg0 )

static

requires_grad()

bool requires_grad

(

self

)

requires_grad_()

torch.Tensor requires_grad_	(	R2	self,
		bool	arg0 )

shape()

tuple[int, ...] shape

(

self

)

static()

R2StaticView static

(

self

)

tensor()

Tensor tensor

(

R2

self

)

to()

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

torch()

torch.Tensor torch

(

R2

self

)

zero_()

torch.Tensor zero_

(

R2

self

)

zeros() [1/2]

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

static

zeros() [2/2]

R2 zeros ( tuple[int, ...] dynamic_sizes, tuple[int, ...] intmd_sizes = (), * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros_like()

R2 zeros_like ( R2 arg0 )

static