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Restrict scale's values of dequantizeLinear and quantizeLinear to be positive and nonzero #906

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Restrict scale's values of dequantizeLinear and quantizeLinear to be positive and nonzero #906

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3eec3a4
Restrict scale of dequantizeLinear and quantizeLinear to be positive
BruceDai Nov 25, 2025
f561134
Update description for non-positive scale values
BruceDai Nov 26, 2025
5a5280d
remove the step of checking scale contain non-positive values
BruceDai Nov 26, 2025
db19e62
Update prose to say values must be nonzero
fdwr Nov 27, 2025
eab6604
update descriptions for scale's values being negative
BruceDai Jan 16, 2026
598de1a
refine descriptions for scale's values being negative
BruceDai Jan 22, 2026
b4e7d2e
Just normalize wording across two locations
fdwr Jan 23, 2026
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4 changes: 2 additions & 2 deletions index.bs
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Expand Up @@ -4106,7 +4106,7 @@ partial dictionary MLOpSupportLimits {
<div dfn-for="MLGraphBuilder/dequantizeLinear(input, scale, zeroPoint, options)" dfn-type=argument>
**Arguments:**
- <dfn>input</dfn>: an {{MLOperand}}. The input tensor.
- <dfn>scale</dfn>: an {{MLOperand}}. The scale tensor to multiply each input value by after adjusting by the zero point. It must be [=blockwise broadcastable=] with the input.
- <dfn>scale</dfn>: an {{MLOperand}}. The scale tensor to multiply each input value by after adjusting by the zero point. It must be [=blockwise broadcastable=] with the input. Values must be positive and nonzero, or else the behavior is [=implementation-defined=] (e.g. correct results, incorrect results, or compilation failure).
- <dfn>zeroPoint</dfn>: an {{MLOperand}}. The zero point tensor to subtract from each input value. It has the same [=MLOperand/shape=] as the scale.
- <dfn>options</dfn>: an {{MLOperatorOptions}}. Specifies the optional parameters of the operation.

Expand Down Expand Up @@ -4280,7 +4280,7 @@ partial dictionary MLOpSupportLimits {
<div dfn-for="MLGraphBuilder/quantizeLinear(input, scale, zeroPoint, options)" dfn-type=argument>
**Arguments:**
- <dfn>input</dfn>: an {{MLOperand}}. The input tensor.
- <dfn>scale</dfn>: an {{MLOperand}}. The scale tensor to divide each input value by before adjusting by the zero point. It must be [=blockwise broadcastable=] with the input.
- <dfn>scale</dfn>: an {{MLOperand}}. The scale tensor to divide each input value by before adjusting by the zero point. It must be [=blockwise broadcastable=] with the input. Values must be positive and nonzero, or else behaviors are implementation dependent (e.g. correct results, incorrect results, or compilation failure).
- <dfn>zeroPoint</dfn>: an {{MLOperand}}. The zero point tensor to add to each rescaled input value. It has the same [=MLOperand/shape=] as the scale.
- <dfn>options</dfn>: an {{MLOperatorOptions}}. Specifies the optional parameters of the operation.

Expand Down