A simple MLIR Dialect out of tree tutorial
-
Updated
Jun 20, 2026 - C++
A simple MLIR Dialect out of tree tutorial
An end-to-end workflow for exporting a TensorFlow model to MLIR, compiling it with IREE, and running inference on the CPU backend. It also shows how to inspect the generated MLIR at various stages of the compilation pipeline.
MLIR (Multi-Level Intermediate Representation) provides a flexible and extensible framework for building reusable and modular compiler components. This repository contains an MLIR pass, which is an analysis applied to MLIR code.
Add a description, image, and links to the mlir-tutorial topic page so that developers can more easily learn about it.
To associate your repository with the mlir-tutorial topic, visit your repo's landing page and select "manage topics."