Multiple refactors

This MR addresses several design issues:

• Remove NoBias attribute from Conv and FC, as it is better replaced by an input check, as for other operators with optional inputs (like Slice, Split, Reshape...).

  • Fix #76 (closed).

• Add a generic and consistant mechanism to handle optional inputs.

  • Fix #126 (closed).

I propose to replace the nbData and nbParam members of an Operator with a list of input category that can be one of the following:

enum class InputCategory {
    Data,
    Param,
    OptionalData,
    OptionalParam
};

This would add more flexibility and more clarity in the specification of the operator/node inputs. The input category would not have to follow a specific order.

The call to the OperatorTensor constructor would change, for the convolution, from:

OperatorTensor(Type, 1, 2, 1)

to

OperatorTensor(Type, {Data, Param, OptionalParam}, 1)

Note: I used input "category" instead of "type" to avoid confusion with operator type and data type.

• Add 1D Conv and Pad implementations.

  • Fix aidge#131

• Remove initGrad(), which is easily forgettable and use lazy initialization (with zeros initialization).

  • Fix aidge_backend_cuda#15 (closed)

aidge_core/aidge_export_aidge/templates/attributes/conv.jinja

@@ -14,6 +14,4 @@
 #define _{{name|upper}}_DILATION_{{i}} {{DilationDims[i]}}
 {%- endfor %}
 
-#define _{{name|upper}}_NO_BIAS {{NoBias|int}}
-
 #endif /* EXPORT_ATTRIBUTES_{{name|upper}}_H */