Table of Contents

Interface IOptimizationPass

Namespace
AiDotNet.JitCompiler.IR
Assembly
AiDotNet.dll

Interface for optimization passes that transform IR graphs.

public interface IOptimizationPass

Remarks

Optimization passes take an IR graph and transform it to an equivalent but more efficient version. Examples include constant folding, dead code elimination, and operation fusion.

For Beginners: An optimization pass improves the graph without changing what it computes.

Think of it like optimizing a recipe:

  • Original: "Add 1 cup flour. Add another 1 cup flour."
  • Optimized: "Add 2 cups flour."
  • Result is the same, but simpler!

Common optimizations:

  • Constant folding: Compute constant expressions at compile time
  • Dead code elimination: Remove operations whose results aren't used
  • Operation fusion: Combine multiple operations into one
  • Common subexpression elimination: Compute repeated expressions only once

These make the compiled code faster by:

  • Doing less work
  • Using less memory
  • Better utilizing CPU/GPU resources

Properties

Name

Gets the name of this optimization pass.

string Name { get; }

Property Value

string

Remarks

The name is used for logging and debugging to track which optimizations have been applied to a graph.

For Beginners: A human-readable name for this optimization.

Examples:

  • "Constant Folding"
  • "Dead Code Elimination"
  • "Operation Fusion"

Used when printing optimization logs like: "Applied Constant Folding: reduced 150 ops to 142 ops"

Methods

Optimize(IRGraph)

Applies this optimization pass to an IR graph.

IRGraph Optimize(IRGraph graph)

Parameters

graph IRGraph

The graph to optimize.

Returns

IRGraph

The optimized graph (may be the same instance or a new one).

Remarks

The optimization must preserve the semantics of the graph - it should produce the same results for the same inputs, just more efficiently.

For Beginners: This method transforms the graph to make it faster.

The pass:

  • Examines the graph to find optimization opportunities
  • Creates a new, more efficient version
  • Returns the optimized graph

The optimized graph computes the same results but runs faster.

Multiple passes can be chained:

  • Original graph
  • → Constant folding
  • → Dead code elimination
  • → Operation fusion
  • → Optimized graph (much faster!)
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