Summary
A deep learning practitioner reported an unexpected finding where INT8 post-training quantization yielded better inference accuracy than FP16, and in some cases even surpassed the FP32 baseline. This observation contradicts the common expectation that FP16 should be more accurate than INT8 due to its closer proximity to FP32. The user is seeking community insights to explain this unusual performance.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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