Constant folding is the compile-time optimization that precomputes expressions involving only constants - it eliminates redundant runtime work by replacing static subgraphs with literal values.

What Is Constant folding?

• Definition: Evaluate constant-only operations during compilation and substitute final constants in graph.
• Typical Cases: Arithmetic on fixed scalars, static shape calculations, and compile-known lookup expressions.
• Runtime Impact: Removes kernel invocations and memory operations for deterministic constant branches.
• Constraint: Applies only where input values are compile-time known and side-effect free.

Why Constant folding Matters

• Lower Runtime Cost: Avoids repeatedly computing values that never change between executions.
• Graph Simplification: Reduces node count and unlocks additional downstream optimization passes.
• Startup Efficiency: Cuts initialization overhead in inference and training graph execution.
• Compiler Synergy: Improves effectiveness of dead code elimination and operator fusion.
• Predictability: Fewer runtime operations reduce variance in step timing.

How It Is Used in Practice

• Pass Enablement: Ensure compiler optimization pipeline includes constant-folding stage.
• Static Annotation: Mark known-constant parameters to maximize foldable subgraphs.
• Result Verification: Inspect optimized IR to confirm expected expressions were folded correctly.

Constant folding is a basic but effective graph optimization primitive - precomputing static expressions reduces runtime work and creates cleaner execution graphs.