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.
        Default: "True"
Returns:
      Output of running "functions" sequentially on "*inputs"
-[ Example ]-



model = nn.Sequential(...)
input_var = checkpoint_sequential(model, chunks, input_var)


