Thanks @jwfromm and you're definitely right. This is the fastest way to 
integrate TVM functions into TensorFlow if we can not convert the whole model 
to TVM. This may be meaningful for TensorFlow developers if they can to try TVM 
and leverage the sub-graph optimizaition from TVM.

Actually this project is the TensorFlow custom op with TVM runtime. We 
originally develop in the standalone project 
https://github.com/tobegit3hub/tftvm . Since it depends on TVM and TensorFlow 
to compile, it is okay to be one of the TVM contrib libraries or maintain in 
the independent project.

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