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Subject [GitHub] [incubator-tvm] FrozenGene commented on issue #4828: [QNN][TFLite] TFLite rounding mode support
Date Sun, 08 Mar 2020 06:19:17 GMT
FrozenGene commented on issue #4828: [QNN][TFLite] TFLite rounding mode support
   > > I doubt it is because of different LLVM version.
   > Do you know the default llvm version in ci test? I can have a try locally.
   > > In code `tvm.testing.assert_allclose(tflite_output[i], tvm_output[i], atol=1e-5,
rtol=1e-5)` maybe too strict. You could change it to `atol=1e-3, rtol=1e-3` to see it is ok
on your machine.
   > I don't have a local numerical problem, instead I got segfault for this test locally,
so let's make llvm version matched first?
   > > Another thing: "Another way is we provide rounding args for qnn.add / qnn.mul
/ qnn.conconcate, because they use requantize in fact too, so they need rounding". On mobilenet
v2 quantized model, we have `quantized add`, I am curious why we could get the same result
without support of `quantized add`.
   > Hmm, that's interesting... I'm sure requantize is invoked at runtime.
   CI's LLVM is LLVM 4.0. I think we should supply `quantized add` so that we avoid it is
just a lucky.

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