mjdenkowski commented on issue #18699:
URL: 
https://github.com/apache/incubator-mxnet/issues/18699#issuecomment-660692437


   This benchmark was run using a trained 
[Sockeye](https://github.com/awslabs/sockeye) model.  This is a full 
sequence-to-sequence model with HybridBlocks glued together by Python code.  
We're running inference (translating a test set with beam search), so there 
shouldn't be any backward operations.  We can share a model with input data and 
a run script if that will help with debugging.
   
   Alternatively, do you have an idea of what good tests would be for 
determining frontend vs backend speed regressions or multi-API overhead?  Are 
there build/runtime options for MXNet that we can try with our sample model?  
If we have a good idea of everything that changed in commit 83b5170, we can 
work through it by process of elimination.


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