Using MLIR. A MLIR Dialect for Quantum Assembly Languages; Compiling ONNX Neural Network Models Using MLIR; SyFER-MLIR: Integrating Fully Homomorphic Encryption Into …

The MLIR project is a novel approach to building reusable and extensible compiler infrastructure. MLIR aims to address software fragmentation, improve compilation for heterogeneous …

Below are quick instructions to build MLIR with LLVM. The following instructions for compiling and testing MLIR assume that you have git , ninja , and a working C++ toolchain (see LLVM …

This section contains multiple MLIR tutorials. See Toy tutorial for an introduction to using MLIR infrastructure. See Transform dialect tutorial for an introduction to using and extending of …

This document attempts to describe a few developer policies used in MLIR (such as coding standards used) as well as development approach (such as, testing methods). Style guide ¶ …

MLIR Primer: A Compiler Infrastructure for the End of Moore’s Law slides; Chris Lattner, Jacques Pienaar @ Compilers for Machine Learning (C4ML) workshop at CGO 2019. Using MLIR. …

How to refer to MLIR in publications? Is there an accompanying paper? MLIR has been presented in the 2021 IEEE/ACM International Symposium on Code Generation and Optimization, the full …

Quickstart tutorial to adding MLIR graph rewrite; Toy Tutorial + Chapter 1: Toy Language and AST; Chapter 2: Emitting Basic MLIR; Chapter 3: High-level Language-Specific Analysis and …

MLIR Language Reference. MLIR (Multi-Level IR) is a compiler intermediate representation with similarities to traditional three-address SSA representations (like LLVM IR or SIL), but which …

Referenced by mlir::Region::insertArgument(), mlir::function_interface_impl::insertFunctionArguments(), and legalizeBlockArguments().