def METHOD_NAME(  # type: ignore[override]
    self,
    tensor: Tensor,
    model: "pl.LightningModule",
    optimizer: Optional[Steppable],
    *args: Any,
    **kwargs: Any,
) -> None:
    r"""Performs back-propagation using DeepSpeed's engine.
    Args:
        tensor: the loss tensor
        model: the model to be optimized
        optimizer: ignored for DeepSpeed
        \*args: additional positional arguments for the :meth:`deepspeed.DeepSpeedEngine.backward` call
        \**kwargs: additional keyword arguments for the :meth:`deepspeed.DeepSpeedEngine.backward` call
    """
    if is_overridden("backward", model):
        warning_cache.warn(
            "You have overridden the `LightningModule.backward` hook but it will be ignored since DeepSpeed handles"
            " the backward logic internally."
        )
    deepspeed_engine: "deepspeed.DeepSpeedEngine" = model.trainer.model
    deepspeed_engine.METHOD_NAME(tensor, *args, **kwargs)