Tools

Given the fast changing pace of MLIR, built-in tools are not as mature as desired. We created several tools for use in Python to assist with writing MLIR code, validating passes, and debugging.

Contents:

• mlir-opt CLI Wrapper
  • Applying Passes
  • DebugResult
  • Examples
• MLIR Explorer
  • Explorer Interface
  • Live Editing
• JIT Engine
  • Example
  • More Examples

Fusing graphblas.matrix_multiply with graphblas.apply mlir-opt CLI Wrapper