MLIR Lowering Pipeline Lowering Strategy (High-Level Overview) The lowering pipeline looks like this: ONNX graph -> custom mlir dialect -> tensor (value) -> memref (memory) -> llvm -> JIT Full code for this article is available here This article's focus is only building an end-to-end skeleton that takes a high-level ONNX model and lowers it through progressively more concrete representations until it executes via a JIT engine. I kept the initial scope to scalar and 1D vector