from abc import ABC, abstractmethod

class BaseOptimizer(ABC):
    """Abstract base class for all training algorithms."""
    def __init__(self, model, config):
        self.model = model
        self.config = config
        self.accelerator = None

    def set_accelerator(self, accelerator):
        self.accelerator = accelerator

    @abstractmethod
    def step(self, inputs, labels):
        """Performs a single training step; must return a Python float loss."""
        raise NotImplementedError