Module Ir.Nier_cfgSource

This module defines the structure and interfaces for a Neural IntermediatE Representation (NIER).

It is primarly designed as an intermediate state into producing verifiable terms from an ONNX model.

Tensor module

Tensors are multidimensional arrays used to represent numerical such as a neural network weight

Modules for graph generation

NIER is a graph (V,E) where V is the set of vertices (nodes) and E is the set of edges (connections between nodes). Nodes contains the following informations:

• unique id
• name coming from the original model, if it exists
• shape of the tensor resulting from the application of the node operation, if it exist
• operation performed
• parameters of the operation
• an optional tensor storing the data

Note that tensor have their own shape; they must be equal to the NIER's node shape however.

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