ai-content-maker/.venv/Lib/site-packages/torch/optim/adamw.pyi

23 lines
591 B
Python

from typing import Optional, Tuple, Union
from torch import Tensor
from .optimizer import Optimizer, ParamsT
class AdamW(Optimizer):
def __init__(
self,
params: ParamsT,
lr: Union[float, Tensor] = 1e-3,
betas: Tuple[float, float] = (0.9, 0.999),
eps: float = 1e-8,
weight_decay: float = 1e-2,
amsgrad: bool = False,
*,
maximize: bool = False,
foreach: Optional[bool] = None,
capturable: bool = False,
differentiable: bool = False,
fused: Optional[bool] = None,
) -> None: ...