def forward(self, x_in: PLModuleInput, *args, **kwargs) -> Any:
        """Same as :meth:`torch.nn.Module.forward`.

        Parameters
        ----------
        x_in
            ``(x_past, x_future, x_static)`` the past, future, and static features.
        *args
            Whatever you decide to pass into the forward method.
        **kwargs
            Keyword arguments are also possible.

        Returns
        -------
        Any
            The module's output.
        """
Same as :meth:`torch.nn.Module.forward`.

        Parameters
        ----------
        x_in
            ``(x_past, x_future, x_static)`` the past, future, and static features.
        *args
            Whatever you decide to pass into the forward method.
        **kwargs
            Keyword arguments are also possible.

        Returns
        -------
        Any
            The module's output.
        
darts/models/forecasting/pl_forecasting_module.py