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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2021/10/07 08:56:04 UTC

[GitHub] [tvm] masahi commented on pull request #9164: Enable for qnn operations for const folding transformation

masahi commented on pull request #9164:
URL: https://github.com/apache/tvm/pull/9164#issuecomment-937591028


   @apeskov Please see this PR https://github.com/apache/tvm/pull/9135. I understand why you want to do this, namely, constant fold `quantize(weight_fp32)` in a QNN graph. Returning float32 weights from the PyTorch frontend and relying on Relay constant folding to recover quantized weights was my design mistake. Now you can directly obtain quantized weights from the frontend (we do quantize at numpy level).


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