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This repository was archived by the owner on May 15, 2023. It is now read-only.
This repository was archived by the owner on May 15, 2023. It is now read-only.

What is a spurious disagreement in the quantization example? #4

@vv-ss

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@vv-ss

Hi,

I am interested in the accuracy loss due to quantization and was running the quantized_fuzzer.py example. In the script I see that we first get a "result" when the objective function is not met, namely argmax for logits and quantized_logits differ. And then, we check whether the disagreement is correct or spurious. Is this to capture non-determinism in floating point operation? I see that the loop runs 10 times for the same input. Is that intentional?

Thanks!

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