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|
# mypy: allow-untyped-defs
from typing_extensions import TypeIs
from torch import device, dtype, Tensor
class Parameter(Tensor):
def __init__(self, data: Tensor = ..., requires_grad: bool = ...) -> None: ...
def is_lazy(
param: Tensor,
) -> TypeIs[UninitializedParameter | UninitializedBuffer]: ...
class UninitializedParameter(Tensor):
def __init__(self, data: Tensor = ..., requires_grad: bool = ...) -> None: ...
def materialize(
self,
shape: tuple[int, ...],
device: device | None = None,
dtype: dtype | None = None,
) -> None: ...
class Buffer(Tensor):
persistent: bool
def __init__(
self,
data: Tensor = ...,
requires_grad: bool = ...,
persistent: bool = ...,
): ...
class UninitializedBuffer(Tensor):
persistent: bool
def __init__(
self,
data: Tensor = ...,
requires_grad: bool = ...,
persistent: bool = ...,
): ...
def materialize(
self,
shape: tuple[int, ...],
device: device | None = None,
dtype: dtype | None = None,
) -> None: ...
|
