I wonder whether this would make the torch fallback op (https://github.com/apache/tvm/pull/7401) more or less useful (it would depend on what you (plan to) do with unsupported ops). I am still pondering whether to close it or dust it off.
I should note that as far as I know NVidia has a TensorRT front end serving a similar goal and there also is one for ONNXRuntime-as-a-module (recently featured in the PyTorch blog). There may be useful design insights in how they work (or maybe they're too different to what you have in mind). -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/apache/tvm-rfcs/pull/25#issuecomment-907192105
