MLIR

Purpose

Guide agents through MLIR (Multi-Level IR): ops, regions, blocks, and values; built-in dialects (arith, func, memref, affine, linalg); writing custom dialects with ODS; lowering passes with ConversionPattern; mlir-opt CLI; and ML compiler use cases (Torch-MLIR, IREE).

When to Use

• Building a domain-specific compiler IR (graphics, ML, hardware DSL)
• Lowering high-level ops to LLVM or GPU dialects
• Writing progressive lowering pipelines (linalg → loops → LLVM)
• Integrating with IREE or Torch-MLIR for ML deployment
• Creating reusable transformation passes across dialects
• Prototyping compiler optimizations at the right abstraction level

Workflow

1. MLIR structure