For some models (such as RNNs) you want a way of being able to mark some output data-points as "masked", so they are not used in future calculations. In such a model, get_output_mask() should return a mask of one less dimension than get_output() (so if get_output is (nb_samp
(self, train=None)
source not stored for this graph (policy: none)
nothing calls this directly
no outgoing calls
no test coverage detected