Uploaded July 2025 | Updated September 2026, 3 weeks ago

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2025 AsiaLLVM Developers' Meeting

llvm.org/devmtg/2025-06

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Title: ONNX-MLIR: An MLIR-based Compiler for ONNX AI models

Speakers: Tung D. Le

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Slides: llvm.org/devmtg/2025-06/slides/technical-talk/le-onnx.pdf

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Open Neural Network Exchange (ONNX) is an open standard for representing deep neural networks, and MLIR is emerging as a flexible compiler infrastructure. In this talk, we present a technical report on our open-source compiler, namely ONNX-MLIR, which uses MLIR to compile ONNX models into native code on different architectures e.g., x86, IBM Power, IBM Z. We will discuss the core design of ONNX-MLIR, the optimizations it deploys, and how it supports custom AI accelerators. ONNX-MLIR has been developed since 2019, shortly after MLIR was introduced. Thus, we would also like to discuss some lessons learned when building ONNX-MLIR in parallel with the growth of MLIR compiler infrastructure.

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