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This post explains MLIR as a compiler infrastructure framework that provides a flexible dialect stack, describing how it is used across modern ML compilers like XLA, Triton, and Mojo to progressively lower tensor operations to machine code.
This repository hosts the LLVM compiler infrastructure, a modular toolkit for building highly optimized compilers, optimizers, and runtimes, alongside related components including the Clang frontend, libc++ standard library, and LLD linker.