[leonwanghui]

Sorry for making the terms "front-end" and "back-end" ambiguous here, maybe I should have added some terminology context at beginning. In my initial thought, these two terms are named based on the machine learning framework. Front-ends normally indicate the user-oriented high level API (such like keras, PyTorch, MindSpore), and on the other hand the backend means the execution environment (CPU, GPU, Ascend, etc.) of operators. In this context, what we want to build is a hardware-agnostic backend by leveraging WASM backend, not just the compiler backend, we want to deploy the generated *.wasm operator library across hardware platforms (Cloud, Edge, Mobile, IoT, etc). Does that make sense to you?

[_bxg1]

It's not your fault! I'm sure if I were more familiar with ML it would've been clear. I just think it's amusing/unideal the way we've come to use those terms for so many different things.