from __future__ import annotations

from typing import Any, Optional

from ..fluid import core as core
from ..fluid import framework as framework
from ..fluid import layers as layers
from ..fluid import unique_name as unique_name
from ..fluid.framework import Variable as Variable
from ..fluid.layer_helper import LayerHelper as LayerHelper
from .optimizer import Optimizer as Optimizer

class Lamb(Optimizer):
    type: str = ...
    def __init__(
        self,
        learning_rate: float = ...,
        lamb_weight_decay: float = ...,
        beta1: float = ...,
        beta2: float = ...,
        epsilon: float = ...,
        parameters: Optional[Any] = ...,
        grad_clip: Optional[Any] = ...,
        exclude_from_weight_decay_fn: Optional[Any] = ...,
        name: Optional[Any] = ...,
    ) -> None: ...
