How to use the x2paddle.core.fluid_code.FluidCode function in x2paddle

def __init__(self, layer, type_str, layer_name=None):
        if layer_name is None:
            super(CaffeGraphNode,
                  self).__init__(layer,
                                 layer.name.replace('/', '_').replace('-', '_'))
        else:
            super(CaffeGraphNode,
                  self).__init__(layer,
                                 layer_name.replace('/', '_').replace('-', '_'))
        self.layer_type = type_str
        self.fluid_code = FluidCode()
        self.data = None

def __init__(self, layer, layer_name=None):
        if layer_name is None:
            super(ONNXGraphNode, self).__init__(layer, layer.name)
        else:
            super(ONNXGraphNode, self).__init__(layer, layer_name)
        self.layer_type = layer.op_type
        self.fluid_code = FluidCode()
        self.attr_map = self.get_attr_map()
        self.out_shapes = list()
        self.dtype = None
        self.which_child = {}

def __init__(self, layer, layer_name=None, data_format="NHWC"):
        if layer_name is None:
            super(TFGraphNode, self).__init__(
                layer,
                layer.name.replace('/', '_').replace('-', '_').replace('^', ''))
        else:
            super(TFGraphNode, self).__init__(
                layer,
                layer_name.replace('/', '_').replace('-', '_').replace('^', ''))

        self.layer_type = layer.op
        self.tf_data_format = data_format
        self.pd_data_format = "NCHW"
        self.fluid_code = FluidCode()

        self.dtype_map = {
            1: "float32",
            3: "int32",
            4: "uint8",
            9: "int64",
            10: "bool"
        }