43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
from typing_extensions import TypeIs
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from torch import device, dtype, Tensor
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class Parameter(Tensor):
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def __init__(self, data: Tensor = ..., requires_grad: bool = ...) -> None: ...
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def is_lazy(
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param: Tensor,
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) -> TypeIs[UninitializedParameter | UninitializedBuffer]: ...
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class UninitializedParameter(Tensor):
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def __init__(self, data: Tensor = ..., requires_grad: bool = ...) -> None: ...
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def materialize(
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self,
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shape: tuple[int, ...],
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device: device | None = None,
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dtype: dtype | None = None,
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) -> None: ...
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class Buffer(Tensor):
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persistent: bool
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def __init__(
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self,
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data: Tensor = ...,
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requires_grad: bool = ...,
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persistent: bool = ...,
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): ...
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class UninitializedBuffer(Tensor):
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persistent: bool
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def __init__(
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self,
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data: Tensor = ...,
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requires_grad: bool = ...,
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persistent: bool = ...,
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): ...
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def materialize(
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self,
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shape: tuple[int, ...],
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device: device | None = None,
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dtype: dtype | None = None,
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) -> None: ...
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