LabeledVector Class Reference

Public Member Functions
None	__init__ (self)
None	__init__ (self, torch.Tensor arg0, typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)] arg1)
None	__init__ (self, Tensor arg0, typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)] arg1)
None	__init__ (self, LabeledVector arg0)
str	__str__ (self)
bool	batched (self)
LabeledVector	clone (self)
None	copy_ (self, torch.Tensor arg0)
LabeledVector	detach (self)
None	detach_ (self)
int	dim (self)
None	requires_grad_ (self, bool arg0)
Tensor	tensor (self)
LabeledVector	to (self, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
torch.Tensor	torch (self)
None	zero_ (self)
typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)]	axes (self)
LabeledVectorBaseView	base (self)
LabeledVectorBatchView	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
LabeledVector	empty (tuple[int,...] batch_shape, typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)] axes, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)
LabeledVector	zeros (tuple[int,...] batch_shape, typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)] axes, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)

Constructor & Destructor Documentation

__init__() [1/4]

None __init__

(

self

)

__init__() [2/4]

None __init__	(		self,
		torch.Tensor	arg0,
		typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)]	arg1 )

__init__() [3/4]

None __init__	(		self,
		Tensor	arg0,
		typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)]	arg1 )

__init__() [4/4]

None __init__	(		self,
		LabeledVector	arg0 )

Member Function Documentation

__str__()

str __str__

(

self

)

axes()

typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)] axes

(

self

)

base()

LabeledVectorBaseView base

(

self

)

batch()

LabeledVectorBatchView batch

(

self

)

batched()

bool batched

(

self

)

clone()

LabeledVector clone

(

self

)

copy_()

None copy_	(		self,
		torch.Tensor	arg0 )

detach()

LabeledVector detach

(

self

)

detach_()

None detach_

(

self

)

device()

torch.device device

(

self

)

dim()

int dim

(

self

)

dtype()

torch.dtype dtype

(

self

)

empty()

LabeledVector empty ( tuple[int, ...] batch_shape, typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)] axes, *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static

grad()

torch.Tensor grad

(

self

)

requires_grad()

bool requires_grad

(

self

)

requires_grad_()

None requires_grad_	(		self,
		bool	arg0 )

shape()

tuple[int, ...] shape

(

self

)

tensor()

Tensor tensor

(

self

)

to()

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

torch()

torch.Tensor torch

(

self

)

zero_()

None zero_

(

self

)

zeros()

LabeledVector zeros ( tuple[int, ...] batch_shape, typing_extensions.Annotated[list[LabeledAxis], pybind11_stubgen.typing_ext.FixedSize(1)] axes, *torch.dtype dtype = ..., torch.device device = ..., bool requires_grad = False )

static