Thank you @anwang for the proposal!
One question I have: do we want to couple the engine field with the “accelerator”/library that backs it? For instance, onnx-runtime has a handful of accelerators (https://github.com/microsoft/onnxruntime#high-performance: MLAS, CUDA, MKL-ML, MKL-DNN, nGraph, TensorRT, OpenVINO, Nuphar/TVM, DirectML, ACL) - do we want to add an additional library/accelerator field to the column based schema or merge it with the engine, e.g. onnxruntime-tensorrt, tensorflow-XLA etc.?