def get_supported_features_for_model_type(
        model_type: str, model_name: Optional[str] = None
    ) -> Dict[str, Callable[[PretrainedConfig], OnnxConfig]]:
        """
        Tries to retrieve the feature -> OnnxConfig constructor map from the model type.

        Args:
            model_type (`str`):
                The model type to retrieve the supported features for.
            model_name (`str`, *optional*):
                The name attribute of the model object, only used for the exception message.

        Returns:
            The dictionary mapping each feature to a corresponding OnnxConfig constructor.
        """
        model_type = model_type.lower()
        if model_type not in FeaturesManager._SUPPORTED_MODEL_TYPE:
            model_type_and_model_name = f"{model_type} ({model_name})" if model_name else model_type
            raise KeyError(
                f"{model_type_and_model_name} is not supported yet. "
                f"Only {list(FeaturesManager._SUPPORTED_MODEL_TYPE.keys())} are supported. "
                f"If you want to support {model_type} please propose a PR or open up an issue."
            )
        return FeaturesManager._SUPPORTED_MODEL_TYPE[model_type]

        Tries to retrieve the feature -> OnnxConfig constructor map from the model type.

        Args:
            model_type (`str`):
                The model type to retrieve the supported features for.
            model_name (`str`, *optional*):
                The name attribute of the model object, only used for the exception message.

        Returns:
            The dictionary mapping each feature to a corresponding OnnxConfig constructor.
        
dpkd/transformers/src/transformers/onnx/features.py