def perform(self, node, inputs, outputs):
        (x,) = inputs
        (z,) = outputs
        if self.axis == None:
            z[0] = numpy.asarray(x.sum())
        else:
            z[0] = numpy.asarray(x.sum(self.axis)).ravel()
dataset/ETHPy150Open rizar/attention-lvcsr/libs/Theano/theano/sparse/basic.py/SpSum.perform/operator `is` -> `==`