FA-98709 / Model quantization arithmetic / Member archive

Quantization: Bias is divided by the input scale · case 04

An output-unit bias changes when the input scale changes.

Member previewVariant 4 · 3 implementations · 7 checks per implementation

Case contract

Input values are divided by positive scale and rounded; bias is already in output integer units and is added afterward. Inputs follow this explicit integer toy contract; ties use Python round-to-even where rounding is required.

Why this case matters

This deterministic model isolates one quantization arithmetic contract from tensor storage and runtime kernels.

One recorded failure

Sample boundary fixture

This sample comes from the broken implementation of a controlled reproducer.

Boundary fixture	Actual	Expected	Outcome
integer bias	`[6]`	`[7]`	Failed

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