def get_output_for(self, input, **kwargs):
assert input.ndim == 2
activation = T.dot(input, self.C)
if self.b is not None:
activation = activation + self.b.dimshuffle('x', 0)
return self.nonlinearity_final(nonlinearities.sigmoid(activation).dot(self.M))
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