Image from Wikimedia Even before the first version of TensorFlow was released, the XLA project was integrated as a “domain-specific compiler” for its machine learning graphs. Since then there have been a lot of other compilers aimed at ML problems, like TVM, MLIR, EON, and GLOW. They have all been very successful in different areas, but they’re still not the primary way for most users to run machine learning models. In this post I want to talk about some of the challenges that face ML compiler w...