ibsidorenko opened a new pull request, #15686:
URL: https://github.com/apache/tvm/pull/15686

   This commit adds 2 new Relax ops:
   1. "relax.op.smooth" (R.smooth): Multiply elements from a tensor by a scale 
(if it operates like "multiply") or pass input as is (if it operates like 
"identity").
   2. "relax.annotate.absmax" (R.absmax): Helper op, that does the following 
transform: abs()->max()->squeeze() for the input tensor.
   
   Both of them are used in SmoothQuant TVM passes used in MLC-llm.
   
   This PR does not include unit tests for these new ops, since they are 
single-purpose ops and not widely used. This way we can save time on regression 
testing.


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