R5 Class Reference

Public Member Functions
R5	__add__ (self, float arg0)
R5	__add__ (self, Scalar arg0)
R5	__add__ (self, R5 arg0)
None	__init__ (self)
None	__init__ (self, torch.Tensor arg0, int arg1)
None	__init__ (self, R5 arg0)
None	__init__ (self, torch.Tensor arg0)
R5	__mul__ (self, float arg0)
R5	__mul__ (self, Scalar arg0)
R5	__neg__ (self)
R5	__pow__ (self, float arg0)
R5	__pow__ (self, Scalar arg0)
R5	__radd__ (self, float arg0)
str	__repr__ (self)
R5	__rmul__ (self, float arg0)
Tensor	__rpow__ (self, float arg0)
R5	__rsub__ (self, float arg0)
R5	__rtruediv__ (self, float arg0)
str	__str__ (self)
R5	__sub__ (self, float arg0)
R5	__sub__ (self, Scalar arg0)
R5	__sub__ (self, R5 arg0)
R5	__truediv__ (self, float arg0)
R5	__truediv__ (self, Scalar arg0)
R5	__truediv__ (self, R5 arg0)
bool	batched (self)
R5	clone (self)
torch.Tensor	copy_ (self, torch.Tensor arg0, bool arg1)
bool	defined (self)
R5	detach (self)
torch.Tensor	detach_ (self)
int	dim (self)
torch.Tensor	requires_grad_ (self, bool arg0)
Tensor	tensor (self)
R5	to (self, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
torch.Tensor	torch (self)
torch.Tensor	torch (self)
torch.Tensor	zero_ (self)
R5BaseView	base (self)
R5BatchView	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
R5	empty (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R5	empty (tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R5	empty_like (R5 arg0)
R5	full (float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R5	full (tuple[int,...] batch_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R5	full_like (R5 arg0, float arg1)
R5	linspace (R5 start, R5 end, int nstep, int dim=0, int batch_dim=-1)
R5	logspace (R5 start, R5 end, int nstep, int dim=0, int batch_dim=-1, float base=10.0)
R5	ones (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R5	ones (tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R5	ones_like (R5 arg0)
R5	zeros (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R5	zeros (tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
R5	zeros_like (R5 arg0)

Constructor & Destructor Documentation

__init__() [1/4]

None __init__

(

self

)

__init__() [2/4]

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

__init__() [3/4]

None __init__	(		self,
		R5	arg0 )

__init__() [4/4]

None __init__	(		self,
		torch.Tensor	arg0 )

Member Function Documentation

__add__() [1/3]

R5 __add__	(		self,
		float	arg0 )

__add__() [2/3]

R5 __add__	(		self,
		R5	arg0 )

__add__() [3/3]

R5 __add__	(		self,
		Scalar	arg0 )

__mul__() [1/2]

R5 __mul__	(		self,
		float	arg0 )

__mul__() [2/2]

R5 __mul__	(		self,
		Scalar	arg0 )

__neg__()

R5 __neg__

(

self

)

__pow__() [1/2]

R5 __pow__	(		self,
		float	arg0 )

__pow__() [2/2]

R5 __pow__	(		self,
		Scalar	arg0 )

__radd__()

R5 __radd__	(		self,
		float	arg0 )

__repr__()

str __repr__

(

self

)

__rmul__()

R5 __rmul__	(		self,
		float	arg0 )

__rpow__()

Tensor __rpow__	(		self,
		float	arg0 )

__rsub__()

R5 __rsub__	(		self,
		float	arg0 )

__rtruediv__()

R5 __rtruediv__	(		self,
		float	arg0 )

__str__()

str __str__

(

self

)

__sub__() [1/3]

R5 __sub__	(		self,
		float	arg0 )

__sub__() [2/3]

R5 __sub__	(		self,
		R5	arg0 )

__sub__() [3/3]

R5 __sub__	(		self,
		Scalar	arg0 )

__truediv__() [1/3]

R5 __truediv__	(		self,
		float	arg0 )

__truediv__() [2/3]

R5 __truediv__	(		self,
		R5	arg0 )

__truediv__() [3/3]

R5 __truediv__	(		self,
		Scalar	arg0 )

base()

R5BaseView base

(

self

)

batch()

R5BatchView batch

(

self

)

batched()

bool batched

(

self

)

clone()

R5 clone

(

self

)

copy_()

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

defined()

bool defined

(

self

)

detach()

R5 detach

(

self

)

detach_()

torch.Tensor detach_

(

self

)

device()

torch.device device

(

self

)

dim()

int dim

(

self

)

dtype()

torch.dtype dtype

(

self

)

empty() [1/2]

R5 empty ( *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty() [2/2]

R5 empty ( tuple[int, ...] batch_shape, *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

empty_like()

R5 empty_like ( R5 arg0 )

static

full() [1/2]

R5 full ( float fill_value, *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full() [2/2]

R5 full ( tuple[int, ...] batch_shape, float fill_value, *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

full_like()

R5 full_like ( R5 arg0, float arg1 )

static

grad()

torch.Tensor grad

(

self

)

linspace()

R5 linspace ( R5 start, R5 end, int nstep, int dim = 0, int batch_dim = -1 )

static

logspace()

R5 logspace ( R5 start, R5 end, int nstep, int dim = 0, int batch_dim = -1, float base = 10.0 )

static

ones() [1/2]

R5 ones ( *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones() [2/2]

R5 ones ( tuple[int, ...] batch_shape, *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

ones_like()

R5 ones_like ( R5 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()

R5 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]

R5 zeros ( *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros() [2/2]

R5 zeros ( tuple[int, ...] batch_shape, *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

zeros_like()

R5 zeros_like ( R5 arg0 )

static