Thanks for the proposal. It would be great to list alternatives with labels 
(see example https://discuss.tvm.ai/t/target-and-attributes/6013), discuss pros 
and cons, so others can share their opinions easily.

Given that onnx is not rich enough to cover all the operators, such conversion 
might be limited to a subset. It would be great to document a potential usage 
cases. 

Here are some high level thoughts:

- It seems does not make sense to use onnx as a serialization format, as we can 
always store the functions in the native format (with complete coverage)
- If we have a target runtime with onnx format in mind, then we should list 
those runtimes and discuss the scope of the coverage needed.





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