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							- 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): ...
 
-     ...
 
 
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