I am using LSTM to model time-series data.  Since the data that I am using are long and of variable lengths depending on the day (5000 ~ 20,000 data points per day depending on the day), I would like to limit back-propagation through time to a controlled maximum number, let’s say 100.
That is, regardless of where you stand in time, back-prop is 100 time steps backward at most.
Is there a way to do that ?