At present, the AI ​​compiler we wrote ourselves uses the front end of relax, 
and then we have re-implemented the optimization, memory allocation, scheduling 
and code generation ourselves.

This is because we did not have the ability to understand the full-stack 
development of TVM at the beginning.

Our framework is becoming difficult to maintain recently, and I think it's time 
to fully invest in TVM.

Any blogs, guides and other useful information are very valuable to me.





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