I am working on a case: compile a pytorch model using tvm on g4dn. 

But I encountered a problem that the tensor conversion between tvm and pytorch 
is too slow, since some pre-process and post-process are implemented using 
pytorch. 

I found that DLPACK maybe helpful in this case, thus I tried the example here 
(https://tvm.apache.org/2018/08/10/DLPack-Bridge). The example works well, but 
when it comes to my pytorch model, I got the error when calling the converted 
model: [AttributeError: Module has no function ‘__tvm_main__’].

Can anybody help me on this case? Thank you!





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