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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2022/02/18 17:35:32 UTC

[GitHub] [tvm] AndrewZhaoLuo edited a comment on pull request #10162: [WIP][ONNX][QNN] Fix QLinearConvs with groups and per-channel quantization

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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