Unified Intermediate Representation

A single, unified intermediate representation (IR) is essential for a coherent AI system. It must span the entire lifecycle: compilation, optimisation, training, inference, deployment, and verification.

Why a Unified IR Matters

Today’s AI frameworks maintain separate modes—eager execution, graph execution, tracing, exporting—each with different semantics. This fragmentation introduces ambiguity, non‑determinism, and opportunities for silent error.

A unified IR eliminates these divides. Structure is preserved from the moment a model is defined to the moment it is executed.

Properties of the IR

• explicit dataflow
• strong typing
• full provenance and lineage
• deterministic scheduling
• formal verifiability

The IR is not an implementation detail. It is the semantic backbone of the system.