Ir.Nier_cfgSourceThis 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.
Tensors are multidimensional arrays used to represent numerical such as a neural network weight
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:
Note that tensor have their own shape; they must be equal to the NIER's node shape however.