TM, if user passes
            ``(activation, hidden)``, :attr:`function` should correctly use the
            first input as ``activation`` and the second input as ``hidden``
        preserve_rng_state(bool, optional):  Omit stashing and restoring
            the RNG state during each checkpoint.
            Default: ``True``
        use_reentrant(bool, optional): Use checkpointing
            implementation that requires re-entrant autograd.
            If ``use_reentrant=False`` is specified, ``checkpoint`` will use an
            implementation that does not require re-entrant autograd. This
            allows ``checkpoint`` to support additional functionality, such as
            working as expected with ``torch.autograd.grad`` and support for
            keyword arguments input into the checkpointed function. Note that future
            versions of PyTorch will default to ``use_reentrant=False``.
            Default: ``True``
        context_fn(Callable, optional): A callable returning a tuple of two
            context managers. The function and its recomputation will be run
            under the first and second context managers respectively.
            This argument is only supported if ``use_reentrant=False``.
        determinism_check(str, optional): A string specifying the determinism
            check to perform. By default it is set to ``"default"`` which
            compares the shapes, dtypes, and devices of the recomputed tensors
            against those the saved tensors. To turn off this check, specify
            ``"none"``. Currently these are the only two supported values.
            Please open an issue if you would like to see more determinism
            checks. This argument is only supported if ``use_reentrant=False``,
            if ``use_reentrant=True``, the determinism check is always disabled.
        debug(bool, optional): If ``True``, error messages will also include
            a trace of the operators ran during the original forward computation
            as well as the recomputation. This argument is only supported if
            ``use_reentrant=False``.
        args: tuple containing inputs to the :attr:`function`

    Returns:
        Output of running :attr:`function` on :attr:`*args`
    Naa