def __init__(self, sparse=False):
        super(SoftmaxCrossEntropyExpand, self).__init__()
        self.exp = P.Exp()
        self.reduce_sum = P.ReduceSum(keep_dims=True)
        self.onehot = P.OneHot()
        self.on_value = Tensor(1.0, mstype.float32)
        self.off_value = Tensor(0.0, mstype.float32)
        self.div = P.Div()
        self.log = P.Log()
        self.sum_cross_entropy = P.ReduceSum(keep_dims=False)
        self.mul = P.Mul()
        self.mul2 = P.Mul()
        self.cast = P.Cast()
        self.reduce_mean = P.ReduceMean(keep_dims=False)
        self.sparse = sparse
        self.reduce_max = P.ReduceMax(keep_dims=True)
        self.sub = P.Sub()