@staticmethod
    def _sum_grad(x, y, z, dz, op_dict, be):
        assert('axis' in op_dict and ((0, 1) in op_dict['axis']))
        return (dz, None)  # will be unbroadcasted
dataset/ETHPy150Open NervanaSystems/neon/neon/backends/autodiff.py/GradUtil._sum_grad/swapped operands of `in`