AndrewZhaoLuo edited a comment on pull request #10162:
URL: https://github.com/apache/tvm/pull/10162#issuecomment-1042101011


   Yeah so this is a bit trickier than I thought. Turns out depthwise seperable 
convolutions have special kernel shape representation because why not. 
Specifically it's [out_channel / depth_multiplier, depth_multipler, ...] which 
destroyed some assumptions.
   
   General grouped conv has kern shape of [out_channel, in_channels / groups, 
...]
   
   Made issue https://github.com/apache/tvm/issues/10294


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