Thank you for the advice!

When looking into the autotuners (python/tvm/autotvm/tuner/), they generate a 
set of optimization configurations that they want to apply to the compilation 
of each kernel.  
(If 1,000 trials are given, they will generate 1,000 configurations and pick 
the best one)

In this context, I'm wondering what is the default configuration is for each 
kernel. 
If default setting is not applying any optimization, I'm not sure how I can 
trigger compilation and measurement without any optimization inside the tuner 
module. 

Thanks!





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