Update prose to say values must be nonzero

Author: fdwr

index.bs

@@ -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. It must be positive.
+        - <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.
 
@@ -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. It must be positive.
+        - <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.