Slice node wrong nb_inputs ?

Context

I want to export the Slice node to CPP. So I create a node with aidge_core :

def test_slice(self):
        print("Slice")
        model = aidge_core.sequential([
            aidge_core.Slice([0,0,2], [1,1,5], [0,1,2], [1,1,1], name="slice")
        ])

        self.unit_test_export(model, "Slice", [[1, 1, 6]])

And implement it in Slice.py:

@ExportLibCpp.register("Slice",
    aidge_core.ImplSpec(aidge_core.IOSpec(aidge_core.dtype.any)))
class SliceCPP(ExportNodeCpp):
    def __init__(self, node, mem_info):
        super().__init__(node, mem_info)
        self.attributes["starts"] = node.get_operator().attr.starts
        self.attributes["ends"] = node.get_operator().attr.ends
        self.attributes["axes"] = node.get_operator().attr.axes
        self.attributes["steps"] = node.get_operator().attr.steps
        [...]

Error

The problem comes from _meminfo.jinja :

// MEMINFO CONF
{% for inidx in range(nb_in) -%}
[...]
#define {{ in_name[inidx]|upper }}_MEM_SIZE {{ in_size[inidx] * in_sizeof[inidx] }}

The problem is that Slice for aidge_core defines 5 inputs ! nb_in is 5 = 1 for the input + 4 for the attributes (starts,ends,axes,steps). But the attributes are not parent nodes so in_size[inidx] and in_sizeof[inidx] are None for indices 1 to 4 (attributes).

My quick fix is to manually set nb_in in Slice.py :

        self.attributes["nb_in"] = 1

But I'm not sure it is the right way to do it. So how to handle the export of nodes that have attributes not set as parent nodes ?

How to do it ?

Should I change Slice in aidge_core so it has only 1 input ? Or should I set the slice attribute tensors as actual parent nodes ?

Thanks