SR2 Class Reference

Public Member Functions
SR2	__add__ (self, float arg0)
SR2	__add__ (self, Scalar arg0)
SR2	__add__ (self, SR2 arg0)
SR2	__iadd__ (self, float arg0)
SR2	__imul__ (self, float arg0)
None	__init__ (self)
None	__init__ (self, torch.Tensor arg0, int arg1)
None	__init__ (self, SR2 arg0)
None	__init__ (self, torch.Tensor arg0)
None	__init__ (self, R2 arg0)
SR2	__isub__ (self, float arg0)
SR2	__itruediv__ (self, float arg0)
SR2	__mul__ (self, float arg0)
SR2	__mul__ (self, Scalar arg0)
SR2	__neg__ (self)
SR2	__pow__ (self, float arg0)
SR2	__pow__ (self, Scalar arg0)
SR2	__radd__ (self, float arg0)
str	__repr__ (self)
SR2	__rmul__ (self, float arg0)
Tensor	__rpow__ (self, float arg0)
SR2	__rsub__ (self, float arg0)
SR2	__rtruediv__ (self, float arg0)
str	__str__ (self)
SR2	__sub__ (self, float arg0)
SR2	__sub__ (self, Scalar arg0)
SR2	__sub__ (self, SR2 arg0)
SR2	__truediv__ (self, float arg0)
SR2	__truediv__ (self, Scalar arg0)
torch.Tensor	__truediv__ (self, SR2 arg0)
bool	batched (self)
SR2	clone (self)
torch.Tensor	copy_ (self, torch.Tensor arg0, bool arg1)
bool	defined (self)
SR2	detach (self)
torch.Tensor	detach_ (self)
int	dim (self)
Number|torch.SymInt|torch.SymFloat|torch.SymBool	item (self)
torch.Tensor	requires_grad_ (self, bool arg0)
Tensor	tensor (self)
SR2	to (self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
torch.Tensor	torch (self)
torch.Tensor	torch (self)
torch.Tensor	zero_ (self)
SR2BaseView	base (self)
SR2BatchView	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
SR2	empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	empty (tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	empty_like (SR2 arg0)
SR2	fill (float value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	fill (Scalar value)
SR2	fill (float value_00, float value_11, float value_22, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	fill (Scalar value_00, Scalar value_11, Scalar value_22)
SR2	fill (float value_00, float value_11, float value_22, float value_12, float value_02, float value_01, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	fill (Scalar value_00, Scalar value_11, Scalar value_22, Scalar value_12, Scalar value_02, Scalar value_01)
SR2	full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	full (tuple[int,...] batch_shape, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	full_like (SR2 arg0, float arg1)
SR2	linspace (SR2 start, SR2 end, int nstep, int dim=0)
SR2	logspace (SR2 start, SR2 end, int nstep, int dim=0, float base=10.0)
SR2	ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	ones (tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	ones_like (SR2 arg0)
SR2	zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	zeros (tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
SR2	zeros_like (SR2 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,
		SR2	arg0 )

__init__() [4/5]

None __init__	(		self,
		torch.Tensor	arg0 )

__init__() [5/5]

None __init__	(		self,
		R2	arg0 )

Member Function Documentation

__add__() [1/3]

SR2 __add__	(		self,
		float	arg0 )

__add__() [2/3]

SR2 __add__	(		self,
		Scalar	arg0 )

__add__() [3/3]

SR2 __add__	(		self,
		SR2	arg0 )

__iadd__()

SR2 __iadd__	(		self,
		float	arg0 )

__imul__()

SR2 __imul__	(		self,
		float	arg0 )

__isub__()

SR2 __isub__	(		self,
		float	arg0 )

__itruediv__()

SR2 __itruediv__	(		self,
		float	arg0 )

__mul__() [1/2]

SR2 __mul__	(		self,
		float	arg0 )

__mul__() [2/2]

SR2 __mul__	(		self,
		Scalar	arg0 )

__neg__()

SR2 __neg__

(

self

)

__pow__() [1/2]

SR2 __pow__	(		self,
		float	arg0 )

__pow__() [2/2]

SR2 __pow__	(		self,
		Scalar	arg0 )

__radd__()

SR2 __radd__	(		self,
		float	arg0 )

__repr__()

str __repr__

(

self

)

__rmul__()

SR2 __rmul__	(		self,
		float	arg0 )

__rpow__()

Tensor __rpow__	(		self,
		float	arg0 )

__rsub__()

SR2 __rsub__	(		self,
		float	arg0 )

__rtruediv__()

SR2 __rtruediv__	(		self,
		float	arg0 )

__str__()

str __str__

(

self

)

__sub__() [1/3]

SR2 __sub__	(		self,
		float	arg0 )

__sub__() [2/3]

SR2 __sub__	(		self,
		Scalar	arg0 )

__sub__() [3/3]

SR2 __sub__	(		self,
		SR2	arg0 )

__truediv__() [1/3]

SR2 __truediv__	(		self,
		float	arg0 )

__truediv__() [2/3]

SR2 __truediv__	(		self,
		Scalar	arg0 )

__truediv__() [3/3]

torch.Tensor __truediv__	(		self,
		SR2	arg0 )

base()

SR2BaseView base

(

self

)

batch()

SR2BatchView batch

(

self

)

batched()

bool batched

(

self

)

clone()

SR2 clone

(

self

)

copy_()

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

defined()

bool defined

(

self

)

detach()

SR2 detach

(

self

)

detach_()

torch.Tensor detach_

(

self

)

device()

torch.device device

(

self

)

dim()

int dim

(

self

)

dtype()

torch.dtype dtype

(

self

)

empty() [1/2]

SR2 empty ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty() [2/2]

SR2 empty ( tuple[int, ...] batch_shape, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty_like()

SR2 empty_like ( SR2 arg0 )

static

fill() [1/6]

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

static

fill() [2/6]

SR2 fill ( float value_00, float value_11, float value_22, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

fill() [3/6]

SR2 fill ( float value_00, float value_11, float value_22, float value_12, float value_02, float value_01, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

fill() [4/6]

SR2 fill ( Scalar value )

static

fill() [5/6]

SR2 fill ( Scalar value_00, Scalar value_11, Scalar value_22 )

static

fill() [6/6]

SR2 fill ( Scalar value_00, Scalar value_11, Scalar value_22, Scalar value_12, Scalar value_02, Scalar value_01 )

static

full() [1/2]

SR2 full ( float fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full() [2/2]

SR2 full ( tuple[int, ...] batch_shape, float fill_value, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full_like()

SR2 full_like ( SR2 arg0, float arg1 )

static

grad()

torch.Tensor grad

(

self

)

item()

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

(

self

)

linspace()

SR2 linspace ( SR2 start, SR2 end, int nstep, int dim = 0 )

static

logspace()

SR2 logspace ( SR2 start, SR2 end, int nstep, int dim = 0, float base = 10.0 )

static

ones() [1/2]

SR2 ones ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones() [2/2]

SR2 ones ( tuple[int, ...] batch_shape, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones_like()

SR2 ones_like ( SR2 arg0 )

static

requires_grad()

bool requires_grad

(

self

)

requires_grad_()

torch.Tensor requires_grad_	(		self,
		bool	arg0 )

shape()

tuple[int, ...] shape

(

self

)

tensor()

Tensor tensor

(

self

)

to()

SR2 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]

SR2 zeros ( * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros() [2/2]

SR2 zeros ( tuple[int, ...] batch_shape, * , torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros_like()

SR2 zeros_like ( SR2 arg0 )

static