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4 changes: 2 additions & 2 deletions index.bs
Original file line number Diff line number Diff line change
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.
- <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.
- <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