So the scan checkpointing seems very ineteresting from the prespective that it can be used for things like learning-to-learn. However, my question is can we tell Theano which part of each N-th iteration it to store and which not? For instance in the learning-to-learn framework where we unroll SGD the optimal would be to store only the "updated" parameters which get pass to the next time step, rather than the whole computation. Is it possible to achieve something like that?
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