Hi everyone,

I have  started experimenting with TVM for some of my projects & I must say it 
is  exciting but also a bit overwhelming at times. I have been trying to 
understand the best ways to optimize performance when deploying models,  on 
edge devices where resources are limited.  I am  testing smaller models but I 
want to scale it up gradually.

I keep facing is figuring out the right configurations & schedules that  
improve performance without breaking things. The docs are helpful but sometimes 
it feels such as I need a bit of real-world insight from folks who have already 
dealt with these issues.

Also, I want to know if there are suggestion learning paths or resources to get 
a deeper understanding of performance tuning. I  came across a [Golang Course 
Online](https://www.igmguru.com/digital-marketing-programming/golang-training) 
while searching for related programming resources & it got me thinking if 
branching into different languages helps when working with TVM.

I want to hear your thoughts, tips or even mistakes you have learned from while 
tuning models with TVM.  Also i have check this 
https://discuss.tvm.apache.org/t/optimizing-a-loop-body-expressed-with-tvm-extern/304
 still need advice.

Thank you.:)





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