ibsidorenko opened a new pull request, #13854:
URL: https://github.com/apache/tvm/pull/13854

   This commit adds new Relay operation `qnn.dense_pack` that supports 
different weights layout (`nn.dense` and `qnn.dense` do not support this 
attribute). This new operation is full analog of `nn.contrib_dense_pack` 
operation but in QNN space.
   
   With this PR, current QNN Dense can achieve ~10x performance gain on Hexagon 
target without QNN canonicalization (through the use of `vrmpy` intrinsic).
   
   Also, this PR includes slight performance improvement for `qnn.mul` (without 
QNN canonicalization).


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