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/ nn / parameter.pyi
import torch
from .. import Tensor
from typing import Tuple, Optional
import builtins
class Parameter(Tensor):
def __init__(self, data: Tensor=..., requires_grad: builtins.bool=...): ...
...
def is_lazy(param: Tensor): ...
class UninitializedParameter(Tensor):
def __init__(self, data: Tensor=..., requires_grad: builtins.bool=...): ...
def materialize(self, shape: Tuple[int, ...], device: Optional[torch.device] = None, dtype: Optional[torch.dtype] = None): ...
...
class UninitializedBuffer(Tensor):
def __init__(self, data: Tensor=..., requires_grad: builtins.bool=...): ...
def materialize(self, shape: Tuple[int, ...], device: Optional[torch.device] = None, dtype: Optional[torch.dtype] = None): ...
...