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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2022/11/08 12:21:15 UTC

[GitHub] [tvm] vvchernov opened a new pull request, #13322: WIP: [QNN, ONNX] Extension of QLinearMatMul in ONNX front-end for all ranks of input tensors

vvchernov opened a new pull request, #13322:
URL: https://github.com/apache/tvm/pull/13322

   QLinearMatMul supports rank =2 only for both input tensors.
   It was extended using _qnn.op.dense and _qnn.op.batch_matmul for all ranks
   There are questions related to the following:
   1. Different types of input tensors (int8 and uint8)
   2. Output scaling factor and zero point. Just now it is x_scale*w_scale and 0, correspondingly.


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[GitHub] [tvm] masahi merged pull request #13322: [QNN, ONNX] Extension of QLinearMatMul in ONNX front-end for all ranks of input tensors

Posted by GitBox <gi...@apache.org>.

masahi merged PR #13322:
URL: https://github.com/apache/tvm/pull/13322


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[GitHub] [tvm] tvm-bot commented on pull request #13322: WIP: [QNN, ONNX] Extension of QLinearMatMul in ONNX front-end for all ranks of input tensors

Posted by GitBox <gi...@apache.org>.

tvm-bot commented on PR #13322:
URL: https://github.com/apache/tvm/pull/13322#issuecomment-1307124725

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