Source code for lmflow.pipeline.base_aligner

#!/usr/bin/env python
"""BaseTuner: a subclass of BasePipeline."""

from abc import abstractmethod

from lmflow.pipeline.base_pipeline import BasePipeline



[docs]
class BaseAligner(BasePipeline):
    """A subclass of BasePipeline which is alignable."""

    def __init__(self, *args, **kwargs):
        pass


[docs]
    def _check_if_alignable(self, model, dataset, reward_model):
        # TODO: check if the model is alignable and dataset is compatible
        # TODO: add reward_model
        pass


    @abstractmethod

[docs]
    def align(self, model, dataset, reward_model):
        raise NotImplementedError(".align is not implemented")