Published equation contexts

$\lfloor \cdot \rceil$

Why this formula appears here

where $\lfloor$ $\cdot$ $\rceil$ is round-to-nearest and $\hat{x}$ is the dequantised approximation actually used in arithmetic. Jacob and colleagues’ integer-arithmetic scheme, still the reference formulation for this mapping, showed that with weights and activations quantized this way, “inference can be carried out using integer-only arithmetic” end to end on ordinary integer hardware, with no floating-point unit required at all, which is what makes the technique valuable on the cheapest edge silicon rather than merely on the largest [ 7 ] .

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Research cited beside this formula

[7] Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference ↗

Published contexts (1)

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\lfloor \cdot \rceil

Equation 23 · Edge AI & Electronics

How a Model Actually Gets Small Enough to Run on a Phone

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.

where $\lfloor$ $\cdot$ $\rceil$ is round-to-nearest and $\hat{x}$ is the dequantised approximation actually used in arithmetic. Jacob and colleagues’ integer-arithmetic scheme, still the reference formulation for this mapping, showed that with weights and activations quantized this way, “inference can be carried out using integer-only arithmetic” end to end on ordinary integer hardware, with no floating-point unit required at all, which is what makes the technique valuable on the cheapest edge silicon rather than merely on the largest [ 7 ] .

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