ONNX operators currently supported should cover more opset

Required prerequisites

• Make sure you've read the documentation. Your issue may be addressed there.
• Search the issue tracker and discussions to verify that this hasn't already been reported. +1 or comment there if it has.

What commit version of aidge do you use

• aidge_core: 0.2.2
• aidge_onnx: 0.2.2

Problem description

For now, it is quite common for an operator import to work for a single opset: the one of the model that required to import the operator into Aidge first.

Suggestion

Add support for each opset of Operators currently supported

• Add
• AveragePool
• BatchNormalization
• Concat
• Constant
• Conv
• Dropout
• Div
• Erf
• Gather
• Gemm
• GlobalAveragePool
• Identity
• LeakyRelu
• LSTM
• MatMul
• MaxPool
• Mul
• Pow
• ReduceMean
• Relu
• Reshape
• Shape
• Sigmoid
• Slice
• Softmax
• Split
• Sqrt
• Sub
• Transpose