Name	Size	Mode	Actions
backends/	-	0755	rm
intrinsic/	-	0755	rm
modules/	-	0755	rm
parallel/	-	0755	rm
qat/	-	0755	rm
quantizable/	-	0755	rm
quantized/	-	0755	rm
utils/	-	0755	rm
__pycache__/	-	0755	rm
common_types.py	1841	0644	editdlrm
cpp.py	3022	0644	editdlrm
functional.py	205728	0644	editdlrm
functional.pyi	17852	0644	editdlrm
grad.py	13980	0644	editdlrm
init.py	19296	0644	editdlrm
parameter.py	7171	0644	editdlrm
parameter.pyi	749	0644	editdlrm
_reduction.py	1564	0644	editdlrm
__init__.py	1983	0644	editdlrm

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): ... ...