nncf/experimental/torch/nas/bootstrapNAS/training/scheduler.py
def from_config(cls, config: Dict[str, Any]) -> 'NASSchedulerParams':
        """
        Creates the object from its config.
        """
        descs_config = config.get(cls._state_names.LIST_STAGE_DESCRIPTIONS)
        descs = None
        if descs_config is not None:
            descs = [StageDescriptor.from_config(stage_desc_config) for stage_desc_config in descs_config]
        return cls(descs)

        Creates the object from its config.
        
Creates the object from its config.
Creates the object from its config .
def from_config(cls, config: Dict[str, Any]) -> 'NASSchedulerParams':
        descs_config = config.get(cls._state_names.LIST_STAGE_DESCRIPTIONS)
        descs = None
        if descs_config is not None:
            descs = [StageDescriptor.from_config(stage_desc_config) for stage_desc_config in descs_config]
        return cls(descs)
def from_config ( cls , config : Dict [ str , Any ] ) -> 'NASSchedulerParams' : descs_config = config . get ( cls . _state_names . LIST_STAGE_DESCRIPTIONS ) descs = None if descs_config is not None : descs = [ StageDescriptor . from_config ( stage_desc_config ) for stage_desc_config in descs_config ] return cls ( descs )
Creates the object from its config.
Creates the object from its config .
"""
        Creates the object from its config.
        """
cls
config
Dict[str, Any]