def __init__(self, model, config, device=None, skip_keys=None):
        """
        @param model model to initialize the EMA with
        @param config EMAConfig object with configuration like
        ema_decay, ema_update_freq, ema_fp32
        @param device If provided, copy EMA to this device (e.g. gpu).
        Otherwise EMA is in the same device as the model.
        """

        self.decay = config.ema_decay
        self.model = copy.deepcopy(model)
        self.model.requires_grad_(False)
        self.config = config
        self.skip_keys = skip_keys or set()
        self.fp32_params = {}

        if self.config.ema_seed_model is not None:
            state = checkpoint_utils.load_ema_from_checkpoint(
                self.config.ema_seed_model
            )
            self.model.load_state_dict(state["model"], strict=True)

        if device is not None:
            logging.info(f"Copying EMA model to device {device}")
            self.model = self.model.to(device=device)

        if self.config.ema_fp32:
            self.build_fp32_params()

        self.update_freq_counter = 0

        @param model model to initialize the EMA with
        @param config EMAConfig object with configuration like
        ema_decay, ema_update_freq, ema_fp32
        @param device If provided, copy EMA to this device (e.g. gpu).
        Otherwise EMA is in the same device as the model.
        
structured_prompting/fairseq-version/fairseq/fairseq/models/ema/ema.py