Not able to attribute hparams to variable inside a class

implementation help
1

Hello,

I want to initialise a tranformer class, using arguments for a parent class BaseModelWithCovariates. I would like to initialise the variable “static_variables” using hparams

class Transformer(BaseModelWithCovariates):
    def __init__(
        self,
        hidden_size: int = 16,
        lstm_layers: int = 1,
        dropout: float = 0.1,
        output_size: Union[int, List[int]] = 7,
        loss: MultiHorizonMetric = None,
        attention_head_size: int = 4,
        max_encoder_length: int = 10,
        static_categoricals: List[str] = [],
        static_reals: List[str] = [],
        time_varying_categoricals_encoder: List[str] = [],
        time_varying_categoricals_decoder: List[str] = [],
        categorical_groups: Dict[str, List[str]] = {},
        time_varying_reals_encoder: List[str] = [],
        time_varying_reals_decoder: List[str] = [],
        x_reals: List[str] = [],
        x_categoricals: List[str] = [],
        hidden_continuous_size: int = 8,
        hidden_continuous_sizes: Dict[str, int] = {},
        embedding_sizes: Dict[str, Tuple[int, int]] = {},
        embedding_paddings: List[str] = [],
        embedding_labels: Dict[str, np.ndarray] = {},
        learning_rate: float = 1e-3,
        log_interval: Union[int, float] = -1,
        log_val_interval: Union[int, float] = None,
        log_gradient_flow: bool = False,
        reduce_on_plateau_patience: int = 1000,
        monotone_constaints: Dict[str, int] = {},
        share_single_variable_networks: bool = False,
        logging_metrics: nn.ModuleList = None,
        **kwargs,
    ):
        if logging_metrics is None:
            logging_metrics = nn.ModuleList([SMAPE(), MAE(), RMSE(), MAPE()])

        if loss is None:
            loss = MAE()

        self.save_hyperparameters()
        # store loss function separately as it is a module
        assert isinstance(loss, LightningMetric), "Loss has to be a PyTorch Lightning `Metric`"
        super().__init__(loss=loss, logging_metrics=logging_metrics, **kwargs)
        
        self.static_variables = self.hparams.static_categoricals + self.hparams.static_reals

However I get the following attribute error:

AttributeError: can't set attribute

The getter for hparams hasn’t been deprecated, so this should work.
I would like to know what prevents me from attributing hparams to the new variable. Is there something that I misunderstand about how to use hparams?