Contents
Introduction
Within a few years of the MLIR framework emergence, we can see the MLIR dialects for domains like Deep Learning (Onnx-MLIR, TPU-MLIR, torch-mir, HDNN, etc.), Quantum Computing (Quantum MLIR Dialect), etc. As this is already been used to create domain specific language/compilers through the abstraction of dialects, and it promises seamless integration of these dialects through its reusable framework, it serves a foundational step towards unification of various domain under one framework/infrastructure.