TruncQuant uses a floor-based quantizer with 2^n scaling instead of rounding with 2^n-1, so truncating high-precision weights via bit-shift exactly matches direct low-precision quantization, recovering accuracy lost by naive truncation.
Dory: Automatic end-to-end deployment of real-world dnns on low-cost iot mcus,
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TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision
TruncQuant uses a floor-based quantizer with 2^n scaling instead of rounding with 2^n-1, so truncating high-precision weights via bit-shift exactly matches direct low-precision quantization, recovering accuracy lost by naive truncation.